-
1
المؤلفون: Sanabria-Solano, Alfredo-Jose
المساهمون: Orjuela-Cañón, Alvaro David, Perdomo Charry, Oscar Julian
المصدر: Cho, Alvaro Baik; Rodrigues, Luciano Miller Reis; Nicolau, Rodrigo Junqueira; Rugiero, Gustavo Mantovani; Fukushima, Walter Yoshinori; Milani, Carlo (2008) Treatment of hardware exposure after severe infections in spine surgery with pedicled muscular flaps. En: Clinics. Vol. 63; pp. 277-280; SciELO Brasil
Solano, Alfredo Jose Sanabria (2021) Imagen de los movimientos de la mano.
Kantor, Pierre; Matonti, Frédéric; Varenne, Fanny; Sentis, Vanessa; Pagot-Mathis, Véronique; Fournié, Pierre; Soler, Vincent (2021) Use of the heads-up NGENUITY 3D Visualization System for vitreoretinal surgery: a retrospective evaluation of outcomes in a French tertiary center. En: Scientific Reports. Vol. 11; No. 1; pp. 1-11; Nature Publishing Group
Garc\'\ia-Casallas, Julio César; Blanco-Mej\'\ia, Jhósep Andrés; Fuentes-Barreiro, Yuli Viviana; Arciniegas-Mayorga, Laura Camila; Arias-Cepeda, César Daniel; Morales-Pardo, Brayan David (2020) Prevención y tratamiento de las infecciones del sitio operatorio en neurocirug\'\ia. Estado del arte. En: Iatreia. Vol. 33; No. 1; pp. 39-58; Universidad de Antioquia
Caba, Quinatoa; Lic, Gabriela Giovanna; others (2021) Estrategia de prevención de infecciones del sitio quirúrgico en neurocirug\'\ia fundamentada en factores de riesgo.
Minhas, Komal; Khan, Tariq M; Arsalan, Muhammad; Saud Naqvi, Syed; Ahmed, Mansoor; Ahmed Khan, Haroon; Adnan Haider, Muhammad; Haseeb, Abdul (2020) Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network. En: IEEE Access. Vol. 8; pp. 156314-156327; Disponible en: 10.1109/ACCESS.2020.3019183.
Boehm, Jacob R; Fey, Nicholas P; Fey, Ann Majewicz (2021) Online Recognition of Bimanual Coordination Provides Important Context for Movement Data in Bimanual Teleoperated Robots. En: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 6248-6255; Disponible en: 10.1109/IROS51168.2021.9636272.
Jacob, Mithun George; Wachs, Juan P (2016) Optimal Modality Selection for Cooperative Human–Robot Task Completion. En: IEEE Transactions on Cybernetics. Vol. 46; No. 12; pp. 3388-3400; Disponible en: 10.1109/TCYB.2015.2506985.
El Jaouhari, Saad; Hardy, Patrick; Pasquier, Guillaume; Guitter, Pierrick; Poiseau, Eric; Moubri-Tournes, Cédric; Leduc, Stéphane; Vincendeau, Sébastien; Bourgeois, Laurent; Gibaud, Bernard; Cordonnier, Emmanuel (2019) World First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details. En: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Vol. 2; pp. 294-299; Disponible en: 10.1109/COMPSAC.2019.10222.
Li, Rui-Qi; Zhou, Xiao-Hu; Bian, Gui-Bin; Xie, Xiao-Liang; Hou, Zeng-Guang (2019) Recognition of Endovascular Manipulations using Recurrent Neural Networks. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 7010-7013; Disponible en: 10.1109/EMBC.2019.8856298.
Koenig, Alexander; y Baena, Ferdinando Rodriguez; Secoli, Riccardo (2021) Gesture-Based Teleoperated Grasping for Educational Robotics. En: 2021 30th IEEE International Conference on Robot Human Interactive Communication (RO-MAN). pp. 222-228; Disponible en: 10.1109/RO-MAN50785.2021.9515390.
Li, Chunjiang; Yang, Lifang; Lu, Peng; Wang, Ziyi (2021) Application of decision tree model to surgical action analysis. En: 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE). pp. 163-166; Disponible en: 10.1109/ICAIE53562.2021.00041.
Sun, Yu; Miao, Lijie; Yuan, Zhenming; Sun, Xiaoyan (2019) Hand gesture based control with multi-modality data. En: BIBE 2019; The Third International Conference on Biological Information and Biomedical Engineering. pp. 1-4
Lea, Colin; Vidal, René; Hager, Gregory D (2016) Learning convolutional action primitives for fine-grained action recognition. En: 2016 IEEE International Conference on Robotics and Automation (ICRA). pp. 1642-1649; Disponible en: 10.1109/ICRA.2016.7487305.
Gülmez, Görkem; Cebbar, Kübra; Kul, Seda; Sayar, Ahmet (2021) A Framework for Using Contactless Technologies in Operating Rooms. En: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). pp. 1-6; Disponible en: 10.1109/INISTA52262.2021.9548346.
Razjigaev, Andrew; Crawford, Ross; Roberts, Jonathan; Wu, Liao (2017) Teleoperation of a concentric tube robot through hand gesture visual tracking. En: 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 1175-1180; Disponible en: 10.1109/ROBIO.2017.8324577.
Sourial, Maggie; Elnaggar, Ahmed; Reichardt, Dirk (2016) Development of a virtual coach scenario for hand therapy using LEAP motion. En: 2016 Future Technologies Conference (FTC). pp. 1071-1078; Disponible en: 10.1109/FTC.2016.7821736.
Chan, Ting Kwok; Yu, Ying Kin; Kam, Ho Chuen; Wong, Kin Hong (2018) Robust Hand Gesture Input Using Computer Vision, Inertial Measurement Unit (IMU) and Flex Sensors. En: 2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA). pp. 95-99; Disponible en: 10.1109/ICMRA.2018.8490559.
Maheen, Asra; Bin Shahzad, Moosa; Asif, M Usama; Ahmad, Syed Fasih; Zafar, Saqib; Maqbool, H Farhan; Usman, Muhammad; Arshad, Hira (2021) Human Hand Gesture Recognition System Using Body Sensor Network. En: 2021 International Conference on Robotics and Automation in Industry (ICRAI). pp. 1-5; Disponible en: 10.1109/ICRAI54018.2021.9651389.
Kumar, Piyush; Agrawal, Anupam; Prasad, Shitala (2017) Multimodal interface for temporal pattern based interactive large volumetric visualization. En: TENCON 2017. pp. 1239-1244; Disponible en: 10.1109/TENCON.2017.8228047.
Olsson, Alexander; Malešević, Nebojša; Björkman, Anders; Antfolk, Christian (2019) Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition Methods. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 6611-6615; Disponible en: 10.1109/EMBC.2019.8856648.
Dheeban, S S; Harish, D V; Hari Vignesh, A; Prasanna, M (2018) Arduino Controlled Gesture Robot. En: 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA). pp. 1-6; Disponible en: 10.1109/ROMA46407.2018.8986730.
Besma, Bessekri; Malika, Kedir-Talha; Hadjer, Zairi; Yasmina, Benlounis; Sarra, Amrani; Hammoudi, Escid (2019) Development of an Electromyography-Based Hand Gesture Recognition System for Upper Extremity Prostheses. En: 2019 6th International Conference on Image and Signal Processing and their Applications (ISPA). pp. 1-6; Disponible en: 10.1109/ISPA48434.2019.8966886.
Fang, Bin; Chen, Ziming; Sun, Fuchun; Yang, Yong; Min, Huasong; Liu, Huaping; Hou, Shoucheng; Sun, Baixin (2020) A Novel Interface Device Developed based on MRT for Prosthetic Hand. En: 2020 Chinese Automation Congress (CAC). pp. 2163-2168; Disponible en: 10.1109/CAC51589.2020.9327035.
Chaman, Shilpa (2018) Surgical Robotic Nurse. En: 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 1959-1964; Disponible en: 10.1109/ICCONS.2018.8663025.
Heisnam, Lamyanba; Suthar, Bhivraj (2016) 20 DOF robotic hand for tele-operation: — Design, simulation, control and accuracy test with leap motion. En: 2016 International Conference on Robotics and Automation for Humanitarian Applications (RAHA). pp. 1-5; Disponible en: 10.1109/RAHA.2016.7931886.
Deepan Raj, M; Gogul, I; Thangaraja, M; Kumar, V Sathiesh (2017) Static gesture recognition based precise positioning of 5-DOF robotic arm using FPGA. En: 2017 Trends in Industrial Measurement and Automation (TIMA). pp. 1-6; Disponible en: 10.1109/TIMA.2017.8064804.
Sreekar, C; Sindhu, V S; Bhuvaneshwaran, S; Rubin Bose, S; Sathiesh Kumar, V (2021) Positioning the 5-DOF Robotic Arm using Single Stage Deep CNN Model. En: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII). pp. 1-6; Disponible en: 10.1109/ICBSII51839.2021.9445124.
Selleh, Mohd Ashraf Shukri; Saudi, Azali (2019) Augmented Reality with Hand Gestures Control for Electronic Medical Record. En: 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC). pp. 146-151; Disponible en: 10.1109/ICSGRC.2019.8837061.
Sbernini, Laura; Quitadamo, Lucia Rita; Riillo, Francesco; Lorenzo, Nicola Di; Gaspari, Achille Lucio; Saggio, Giovanni (2018) Sensory-Glove-Based Open Surgery Skill Evaluation. En: IEEE Transactions on Human-Machine Systems. Vol. 48; No. 2; pp. 213-218; Disponible en: 10.1109/THMS.2017.2776603.
Jarrassé, Nathanael; Nicol, Caroline; Touillet, Amélie; Richer, Florian; Martinet, Noel; Paysant, Jean; de Graaf, Jozina Bernardina (2017) Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees With sEMG. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 1; pp. 71-80; Disponible en: 10.1109/TNSRE.2016.2563222.
Jia, Guangyu; Lam, Hak-Keung; Ma, Shichao; Yang, Zhaohui; Xu, Yujia; Xiao, Bo (2020) Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 28; No. 6; pp. 1428-1435; Disponible en: 10.1109/TNSRE.2020.2986884.
Yang, Lingzhi; Ban, Xiaojuan; Gao, Yuxing; Han, Zhishuai; Zhang, Perry (2018) A Posteriori Processing Optimization Method for Gesture Interaction in Aseptic Operation Room. En: IEEE Access. Vol. 6; pp. 19182-19192; Disponible en: 10.1109/ACCESS.2018.2814621.
Yang, Zhi; Zhao, Shuying; Hua, Chunsheng (2019) The Intergration of KCF-based Object Tracking and Gesture Recognition for Computer-assisted Surgery System. En: 2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE). pp. 113-116; Disponible en: 10.1109/ICISCAE48440.2019.221599.
Sa-nguannarm, Phataratah; Charoenpong, Theekapun; Chianrabutra, Chamaporn; Kiatsoontorn, Kraiyot (2019) A Method of 3D Hand Movement Recognition by a Leap Motion Sensor for Controlling Medical Image in an Operating Room. En: 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP). pp. 17-20; Disponible en: 10.1109/ICA-SYMP.2019.8645985.
Cifuentes, Jenny; Boulanger, Pierre; Pham, Minh Tu; Prieto, Flavio; Moreau, Richard (2019) Gesture Classification Using LSTM Recurrent Neural Networks. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 6864-6867; Disponible en: 10.1109/EMBC.2019.8857592.
Wang, Ziheng; Fey, Ann Majewicz (2018) SATR-DL: Improving Surgical Skill Assessment And Task Recognition In Robot-Assisted Surgery With Deep Neural Networks. En: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 1793-1796; Disponible en: 10.1109/EMBC.2018.8512575.
Sa-nguannarm, Phataratah; Senavongse, Wongwit; Charoenpong, Theekapun; Kiatsoontorn, Kraiyot (2018) Hand Movement Recognition by Using a Touchless Sensor for Controlling Images in Operating Room. En: 2018 International Electrical Engineering Congress (iEECON). pp. 1-4; Disponible en: 10.1109/IEECON.2018.8712274.
Cognolato, M; Atzori, M; Faccio, D; Tiengo, C; Bassetto, F; Gassert, R; Muller, H (2018) Hand gesture classification in transradial amputees using the myo armband classifier*. En: 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). pp. 156-161; Disponible en: 10.1109/BIOROB.2018.8488106.
Jiang, Shuo; Kang, Peiqi; Song, Xinyu; Lo, Benny P L; Shull, Peter B (2022) Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey. En: IEEE Reviews in Biomedical Engineering. Vol. 15; pp. 85-102; Disponible en: 10.1109/RBME.2021.3078190.
Qi, Wen; Ovur, Salih Ertug; Li, Zhijun; Marzullo, Aldo; Song, Rong (2021) Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network. En: IEEE Robotics and Automation Letters. Vol. 6; No. 3; pp. 6039-6045; Disponible en: 10.1109/LRA.2021.3089999.
Ameur, Safa; Ben Khalifa, Anouar; Bouhlel, Med Salim (2020) Hand-Gesture-Based Touchless Exploration of Medical Images with Leap Motion Controller. En: 2020 17th International Multi-Conference on Systems, Signals Devices (SSD). pp. 6-11; Disponible en: 10.1109/SSD49366.2020.9364244.
Zhang, S; Zhang, X; Cao, S; Gao, X; Chen, X; Zhou, P (2017) Myoelectric Pattern Recognition Based on Muscle Synergies for Simultaneous Control of Dexterous Finger Movements. En: IEEE Transactions on Human-Machine Systems. Vol. 47; No. 4; pp. 576-582; Disponible en: 10.1109/THMS.2017.2700444.
Yang, D; Yang, W; Huang, Q; Liu, H; Altin, Cemil; E. R., Orhan; Kamei, Y; Okada, S; Naik, G R; Al-Timemy, A H; Nguyen, H T; Dellacasa Bellingegni, Alberto; Gruppioni, Emanuele; Colazzo, Giorgio; Davalli, Angelo; Sacchetti, Rinaldo; Guglielmelli, Eugenio; Zollo, Loredana; Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak; Saggio, G; Orengo, G; Pallotti, A; Errico, V; Ricci, M; Celadon, Nicolò; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Došen, Strahinja; Yang, X; Sun, X; Zhou, D; Li, Y; Liu, H; Torres, G A; Benitez, V H; Al-Timemy, A H; Kim, Minjae; Kim, Dong Sung; Chung, Wan Kyun; Na, Youngjin; Kim, Sangjoon J; Jo, Sungho; Kim, Jung; Kim, Sangjoon J; Huang, H; Li, T; Bruschini, C; Enz, C; Koch, V M; Justiz, J; Antfolk, C; Zhai, X; Jelfs, B; Chan, R H M; Tin, C; Alba-Flores, R; Hickman, S; Mirzakani, A S; Geethanjali, P; Phinyomark, A; Scheme, E; Jarrassé, N; Nicol, C; Richer, F; Touillet, A; Martinet, N; Paysant, J; Graaf, J B De; Dai, Chenyun; Hu, Xiaogang; Balasubramanian, S; Garcia-Cossio, E; Birbaumer, N; Burdet, E; Ramos-Murguialday, A; Purushothaman, Geethanjali; Vikas, Raunak (2016) Finger movements classification from grasping spherical objects with surface electromyography using time domain based features. En: Australasian Physical & Engineering Sciences In Medicine. Vol. 39; No. 1; pp. 1-6; Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, v. Alvaro Del Portillo, Rome, Italy. a.dellacasa@unicampus.it.; Centro Protesi INAIL di Vigorso di Budrio, v. Rabuina, Bologna, Italy. a.dellacasa@unicampus.it: Springer; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29744809&lang=es&site=ehost-live; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29954235&lang=es&site=eh. Disponible en: 10.1109/EMBC.2016.7590706.
Yang, D; Yang, W; Huang, Q; Liu, H; Altin, Cemil; E. R., Orhan; Kamei, Y; Okada, S; Naik, G R; Al-Timemy, A H; Nguyen, H T; Dellacasa Bellingegni, Alberto; Gruppioni, Emanuele; Colazzo, Giorgio; Davalli, Angelo; Sacchetti, Rinaldo; Guglielmelli, Eugenio; Zollo, Loredana; Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak; Saggio, G; Orengo, G; Pallotti, A; Errico, V; Ricci, M; Celadon, Nicolò; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Došen, Strahinja; Yang, X; Sun, X; Zhou, D; Li, Y; Liu, H; Torres, G A; Benitez, V H; Al-Timemy, A H; Kim, Minjae; Kim, Dong Sung; Chung, Wan Kyun; Na, Youngjin; Kim, Sangjoon J; Jo, Sungho; Kim, Jung; Kim, Sangjoon J; Huang, H; Li, T; Bruschini, C; Enz, C; Koch, V M; Justiz, J; Antfolk, C; Zhai, X; Jelfs, B; Chan, R H M; Tin, C; Alba-Flores, R; Hickman, S; Mirzakani, A S; Geethanjali, P; Phinyomark, A; Scheme, E; Jarrassé, N; Nicol, C; Richer, F; Touillet, A; Martinet, N; Paysant, J; Graaf, J B De; Dai, Chenyun; Hu, Xiaogang; Balasubramanian, S; Garcia-Cossio, E; Birbaumer, N; Burdet, E; Ramos-Murguialday, A; Purushothaman, Geethanjali; Vikas, Raunak (2016) Finger movements classification from grasping spherical objects with surface electromyography using time domain based features. En: Australasian Physical & Engineering Sciences In Medicine. Vol. 39; No. 1; pp. 1-6; Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, v. Alvaro Del Portillo, Rome, Italy. a.dellacasa@unicampus.it.; Centro Protesi INAIL di Vigorso di Budrio, v. Rabuina, Bologna, Italy. a.dellacasa@unicampus.it: Springer; VO-; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29744809&lang=es&site=ehost-live; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29954235&lang=es&site=eh. Disponible en: 10.1109/EMBC.2016.7590706.
Witman, Alvarado-D\'\iaz; Brian, Meneses-Claudio; Avid, Roman-Gonzalez (2019) Electromyography signal acquisition and analysis system for finger movement classification. En: Electromyography. Vol. 10; No. 6
Visconti, P; Gaetani, F; Zappatore, G A; Primiceri, P (2018) INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS Technical Features and Functionalities of Myo Armband: An Overview on Related Literature and Advanced Applications of Myoelectric Armbands Mainly Focused on Arm Prostheses. Vol. 0; Disponible en: 10.21307/ijssis-2018-005.
Villarejo Mayor, John Jairo; Mamede Costa, Regina; Frizera Neto, Anselmo; Freire Bastos, Teodiano; Mayor, J J V; Costa, R M; Frizera Neto, Anselmo; Bastos, T F (2017) Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees. En: Research on Biomedical Engineering. Vol. 33; No. 3; pp. 202-217; Technological Center, Federal University of Espírito Santo, Vitória, ES, Brazil: Brazilian Society of Biomedical Engineering; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030089076&doi=10.1590%2F2446-4740.08516&partnerID=40&md5=755465d388a36081f5c5f8d0288a164f; http://10.0.6.54/2446-4740.08516; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?dir. Disponible en: 10.1590/2446-4740.08516.
Valero-Cuevas, Francisco J (2005) An integrative approach to the biomechanical function and neuromuscular control of the fingers. En: Journal of Biomechanics. Vol. 38; No. 4; pp. 673-684; Disponible en: https://www.sciencedirect.com/science/article/pii/S0021929004001927. Disponible en: https://doi.org/10.1016/j.jbiomech.2004.04.006.
ur Rehman, Muhammad Ziaur; Waris, Asim; Gilani, Syed Omer; Jochumsen, Mads; Niazi, Imran Khan; Jamil, Mohsin; Farina, Dario; Kamavuako, Ernest Nlandu (2018) Multiday EMG-Based classification of hand motions with deep learning techniques. En: Sensors (Switzerland). Vol. 18; No. 8; pp. 1-16; Disponible en: 10.3390/s18082497.
Tsuboi, A; Hirota, M; Sato, J; Yokoyama, M; Yanagisawa, M (2017) A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. En: SIGGRAPH Asia 2017 Posters, SA 2017. Waseda university, Japan: Association for Computing Machinery, Inc; 9781450354059 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041334385&doi=10.1145%2F3145690.3145731&partnerID=40&md5=fa453ddafca459ded9bcaec605fc4977. Disponible en: 10.1145/3145690.3145731.
Tsinganos, P; Cornelis, B; Cornelis, J; Jansen, B; Skodras, A (2018) Deep learning in EMG-based gesture recognition. En: PhyCS 2018. No. PhyCS; pp. 107-114; 9789897583292; Disponible en: 10.5220/0006960201070114.
Tayeb, Z; Jakovleski, P; Chen, Z; Lippert, J; Lanillos, P; Lee, D; Cheng, G (2019) Enabling the sense of touch in EMG-controlled hand prostheses using vibro-tactile stimulation. En: 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. Vol. 2019-March; pp. 1021-1024; Technical University Munich, Germany: IEEE Computer Society; 19483546 (ISSN); 9781538679210 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066750590&doi=10.1109%2FNER.2019.8717124&partnerID=40&md5=8106e8fc980b82e9b5387a4208a602b1. Disponible en: 10.1109/NER.2019.8717124.
Tan, Mingxing; Le, Quoc V (2019) EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. En: 36th International Conference on Machine Learning, ICML 2019. Vol. 2019-June; pp. 10691-10700; International Machine Learning Society (IMLS); Disponible en: http://arxiv.org/abs/1905.11946.
Stapornchaisit, S; Koike, Y (2018) Finger angle estimation using musculoskeletal model on thumb and index finger. En: 22nd World Congress of the International Measurement Confederation, IMEKO 2018. Vol. 1065; No. 18; Information and Communication Department, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Kanagawa Yokohama, 226-8502, Japan: Institute of Physics Publishing; 17426588 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057454395&doi=10.1088%2F1742-6596%2F1065%2F18%2F182001&partnerID=40&md5=6fb81f7d09a549adb540dc4685cc5bda. Disponible en: 10.1088/1742-6596/1065/18/182001.
Stapornchaisit, S; Koike, Y (2018) Finger angle estimation using musculoskeletal model on thumb and index finger. En: 22nd World Congress of the International Measurement Confederation, IMEKO 2018. Vol. 1065; Information and Communication Department, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Kanagawa Yokohama, 226-8502, Japan: Institute of Physics Publishing; 17426588 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057454395&doi=10.1088%2F1742-6596%2F1065%2F18%2F182001&partnerID=40&md5=6fb81f7d09a549adb540dc4685cc5bda. Disponible en: 10.1088/1742-6596/1065/18/182001.
Soubeyrand, M; Assabah, B; Bégin, M; Laemmel, E; Dos Santos, A; Crézé, M (2017) Pronation and supination of the hand: Anatomy and biomechanics. En: Hand Surgery and Rehabilitation. Vol. 36; No. 1; pp. 2-11; Elsevier Masson; Disponible en: 10.1016/J.HANSUR.2016.09.012.
Soman, Sumit; Jayadeva, D; Arjunan, Sridhar; Kumar, Dinesh Kant; Jayadeva; Arjunan, Sridhar; Kumar, Dinesh Kant (2016) Improved sEMG signal classification using the Twin SVM. En: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). pp. 4507-4512; VO-; Disponible en: 10.1109/SMC.2016.7844942.
Simão, Miguel; Neto, P; Gibaru, Olivier (2019) EMG-based online classification of gestures with recurrent neural networks. En: Pattern Recognition Letters. Vol. 128; pp. 45-51; Disponible en: 10.1016/j.patrec.2019.07.021.
Shi, W.-T.; Lyu, Z.-J.; Tang, S.-T.; Chia, T.-L.; Yang, C.-Y. (2018) A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study. En: Biocybernetics and Biomedical Engineering. Vol. 38; No. 1; pp. 126-135; Department of Biomedical Engineering, Ming-Chuan University, Taoyuan, Taiwan: PWN-Polish Scientific Publishers; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034738298&doi=10.1016%2Fj.bbe.2017.11.001&partnerID=40&md5=23bd5d5473c7930741184831af9d9d0d. Disponible en: 10.1016/j.bbe.2017.11.001.
Sharif, Hajar; Seo, Seung Byum; Kesavadas, Thenkurussi K (2020) Hand gesture recognition using surface electromyography. En: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2020-July; pp. 682-685; 9781728119908; Disponible en: 10.1109/EMBC44109.2020.9175770.
Restrepo, Liliana Andrea Rendón; Suárez, Julio César Correa; Martínez, María Elena Giraldo (2011) Costo de las infecciones del sitio operatorio en una institución de alta complejidad. Medellín – Colombia, 2008-2009 (Cost of operative site infections in an institution of high complexity. Medellin. En: CES Salud Pública. Vol. 2; No. 2; pp. 169-186; Disponible en: https://revistas.ces.edu.co/index.php/ces_salud_publica/article/view/1997. Disponible en: 10.21615/1997.
Rabin, Neta; Kahlon, Maayan; Malayev, Sarit; Ratnovsky, Anat (2020) Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques. En: Expert Systems with Applications. Vol. 149; pp. 113281-113281; Elsevier Ltd; Disponible en: https://doi.org/10.1016/j.eswa.2020.113281. Disponible en: 10.1016/j.eswa.2020.113281.
Quivira, F; Koike-Akino, T; Wang, Y; Erdogmus, D (2018) Translating sEMG signals to continuous hand poses using recurrent neural networks. En: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). pp. 166-169; VO-; Disponible en: 10.1109/BHI.2018.8333395.
Putra, D S; Weru, Y U W; Fitriady, F (2019) Pattern recognition of electromyography (EMG) signal for wrist movement using learning vector quantization (LVQ). En: 1st South Aceh International Conference on Engineering and Technology, SAICOET 2018. Vol. 506; Informatics Engineering, Politeknik Aceh Selatan, Tapaktuan, 23711, Indonesia: Institute of Physics Publishing; 17578981 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065603814&doi=10.1088%2F1757-899X%2F506%2F1%2F012020&partnerID=40&md5=d3df59c69e0ee73ee05a6d0506741095. Disponible en: 10.1088/1757-899X/506/1/012020.
Putra, D S; Weru, Y U W; Fitriady, F (2019) Pattern recognition of electromyography (EMG) signal for wrist movement using learning vector quantization (LVQ). En: 1st South Aceh International Conference on Engineering and Technology, SAICOET 2018. Vol. 506; No. 1; Informatics Engineering, Politeknik Aceh Selatan, Tapaktuan, 23711, Indonesia: Institute of Physics Publishing; 17578981 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065603814&doi=10.1088%2F1757-899X%2F506%2F1%2F012020&partnerID=40&md5=d3df59c69e0ee73ee05a6d0506741095. Disponible en: 10.1088/1757-899X/506/1/012020.
Priadythama, I; Laksono, P W; Susmartini, S; Pamungkas, A (2017) Study of optimum surface electrode positioning for myoelectric signal detection of typical human grasping. En: Journal of Telecommunication, Electronic and Computer Engineering. Vol. 9; No. 1-5; pp. 17-21; Industrial Engineering Department, Surakarta, Indonesia: Universiti Teknikal Malaysia Melaka; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020772058&partnerID=40&md5=2d64b6f17c13d2330697c6781a31749e.
PLC, Medtronic; StealthStation Surgical Navigation. Disponible en: https://www.medtronic.com/us-en/healthcare-professionals/products/neurological/surgical-navigation-systems/stealthstation/cranial-neurosurgery-navigation.html.
Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo (2017) Comparison of six electromyography acquisition setups on hand movement classification tasks. En: PLoS ONE. Vol. 12; No. 10; pp. 1-17; 1111111111; Disponible en: 10.1371/journal.pone.0186132.
Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo (2017) Comparison of six electromyography acquisition setups on hand movement classification tasks. En: PLoS ONE. Vol. 12; No. 10; Public Library of Science; Disponible en: 10.1371/journal.pone.0186132.
Phinyomark, Angkoon; N Khushaba, Rami; Scheme, Erik (2018) Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors. En: Sensors (Basel, Switzerland). Vol. 18; No. 5; Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada. aphinyom@unb.ca.: MDPI; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29783659&lang=es&site=ehost-live. Disponible en: 10.3390/s18051615.
Patel, Aditya; Ramsay, James; Imtiaz, Mohammad; Lu, Yufeng (2019) EMG-based Human Machine Interface Control. En: 2019 12th International Conference on Human System Interaction (HSI). pp. 127-131; Disponible en: 10.1109/HSI47298.2019.8942598.
Park, J; Kim, S J; Kyeong, S; Kim, J; Na, Y (2018) Feasibility of proportional EMG control for a hand exoskeleton: A Fitts' Law approach. En: IFAC-PapersOnLine. Vol. 51; No. 22; pp. 214-219; Department of Mechanical Engineering, KAIST, Daejeon, South Korea: Elsevier B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058235285&doi=10.1016%2Fj.ifacol.2018.11.544&partnerID=40&md5=9630de499a65d92a95932baa22cf0b56. Disponible en: 10.1016/j.ifacol.2018.11.544.
Parajuli, Nawadita; Sreenivasan, Neethu; Bifulco, Paolo; Cesarelli, Mario; Savino, Sergio; Niola, Vincenzo; Esposito, Daniele; Hamilton, Tara J; Naik, Ganesh R; Gunawardana, Upul; Gargiulo, Gaetano D (2019) Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation. En: Sensors (Switzerland). Vol. 19; No. 20; Disponible en: 10.3390/s19204596.
Osuna, Sandra; Gonzalez, John; Ilzarbe, Amaia (2013) Procesado de señales EMG en Trastornos Neuromusculares. En: ResearchGate. No. JUNE 2013; pp. 0-24; Disponible en: 10.13140/2.1.4902.9445.
Nissler, C; Mouriki, N; Castellini, C (2016) Optical myography: Detecting finger movements by looking at the forearm. En: Frontiers in Neurorobotics. Vol. 10; No. APR; German Aerospace Center (DLR), Institute of Robotics and Mechatronics, Wessling, Germany: Frontiers Research Foundation; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993985144&doi=10.3389%2Ffnbot.2016.00003&partnerID=40&md5=3e8f00aad075b8699245f47114ccc001. Disponible en: 10.3389/fnbot.2016.00003.
Nishikawa, A; Hosoi, T; Koara, K; Negoro, D; Hikita, A; Asano, S; Kakutani, H; Miyazaki, F; Sekimoto, M; Yasui, M; Miyake, Y; Takiguchi, S; Monden, M (2003) FAce MOUSe: A novel human-machine interface for controlling the position of a laparoscope. En: IEEE Transactions on Robotics and Automation. Vol. 19; No. 5; pp. 825-841; Disponible en: 10.1109/TRA.2003.817093.
Moran, Christine A (1989) Anatomy of the Hand. En: Physical Therapy. Vol. 69; No. 12; pp. 1007-1013; Oxford Academic; Disponible en: https://academic.oup.com/ptj/article/69/12/1007/2728477. Disponible en: 10.1093/PTJ/69.12.1007.
Menon, R; Di Caterina, G; Lakany, H; Petropoulakis, L; Conway, B A; Soraghan, J J (2017) Study on Interaction between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 10; pp. 1832-1842; Department of Electronic and Electrical Engineering, Centre for Signal and Image Processing, University of Strathclyde, Glasgow, G1 1XW, United Kingdom: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031412846&doi=10.1109%2FTNSRE.2017.2687761&partnerID=40&md5=eb20e59789b747ba592d50746ee30eff. Disponible en: 10.1109/TNSRE.2017.2687761.
MA, Jun; DING, Yuexiong; Cheng, Jack; Tan, Yi; Gan, Vincent; ZHANG, Jingcheng (2019) Analyzing the Leading Causes of Traffic Fatalities Using XGBoost and Grid-Based Analysis: A City Management Perspective. En: IEEE Access. Vol. PP; pp. 1-1; Disponible en: 10.1109/ACCESS.2019.2946401.
Liu, J; Chen, W; Li, M; Kang, X (2016) Continuous recognition of multifunctional finger and wrist movements in amputee subjects based on sEMG and accelerometry. En: Open Biomedical Engineering Journal. Vol. 10; pp. 101-110; Department of Communication Engineering, Jilin University, Changchun, 130012, China: Bentham Science Publishers B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034950839&doi=10.2174%2F1874120701610010101&partnerID=40&md5=b474a2a061a046a6710cc7c980bd454e. Disponible en: 10.2174/1874120701610010101.
Kwon, Suncheol; Kim, Jung (2011) Real-Time Upper Limb Motion Estimation From Surface Electromyography and Joint Angular Velocities Using an Artificial Neural Network for Human–Machine Cooperation. En: IEEE Transactions on Information Technology in Biomedicine. Vol. 15; No. 4; pp. 522-530; Disponible en: 10.1109/TITB.2011.2151869.
Kopke, Joseph V; Hargrove, Levi J; Ellis, Michael D (2019) Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment. En: Journal Of Neuroengineering And Rehabilitation. Vol. 16; No. 1; pp. 35-35; Department of Biomedical Engineering, McCormick School of Engineering, 645 N Michigan Ave, Suite 1109, Chicago, IL, 60611, USA.; Center for Bionic Medicine, 355 East Erie, Chicago, IL, 60611, USA.; Department of Physical Therapy and Human Movement Science: BioMed Central; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=30836971&lang=es&site=ehost-live. Disponible en: 10.1186/s12984-019-0504-1.
Khushaba, Rami N; Al-Timemy, Ali H; Al-Ani, Ahmed; Al-Jumaily, Adel (2017) A Framework of Temporal-Spatial Descriptors-Based Feature Extraction for Improved Myoelectric Pattern Recognition. En: IEEE Transactions On Neural Systems And Rehabilitation Engineering: A Publication Of The IEEE Engineering In Medicine And Biology Society. Vol. 25; No. 10; pp. 1821-1831; United States: IEEE; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=28358690&lang=es&site=ehost-live. Disponible en: 10.1109/TNSRE.2017.2687520.
Kapandji, Adalbert I; Others (1998) Fisiologia articular. : Médica Panamericana
Kadhim, A.A.-S.N.; Sattar, M A; Waleed, A S R (2018) Prosthetic hand control using wearable gesture armband based on surface electromyography. En: ARPN Journal of Engineering and Applied Sciences. Vol. 13; No. 24; pp. 9662-9669; Department of Mechanical Engineering, Al-Nahrain University College of Engineering, Iraq: Asian Research Publishing Network; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059565636&partnerID=40&md5=7791aa4435692b6feb0bc28d3ad0c919.
Jimenez, D A; Padilla, J B; Arango, R; Garcia, H F (2017) Human-Computer Interaction for Image Guided Surgery Systems using Physiological Signals: Application to Deep Brain Stimulation Surgery. En: VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th-28th, 2016. pp. 737-740; Singapore: Springer Singapore; 978-981-10-4086-3
Jiang, Shuo; Gao, Qinghua; Liu, Huaiyang; Shull, Peter B (2020) A novel, co-located EMG-FMG-sensing wearable armband for hand gesture recognition. En: Sensors and Actuators, A: Physical. Vol. 301; Elsevier B.V.; Disponible en: 10.1016/J.SNA.2019.111738.
Jarrassé, N; Nicol, C; Touillet, A; Richer, F; Martinet, N; Paysant, J; de Graaf, J B; Jarrasse, N; Nicol, C; Touillet, A; Richer, F; Martinet, N; Paysant, J; De Graaf, J B (2017) Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees with sEMG. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 1; pp. 71-80; CNRS, Sorbonne University, UPMC University Paris 06, Paris, 75794, France: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011629291&doi=10.1109%2FTNSRE.2016.2563222&partnerID=40&md5=a469865f7c9e184cff82daccc89addfb. Disponible en: 10.1109/TNSRE.2016.2563222.
Irzmańska, E; Okrasa, M (2016) Preliminary study evaluating manual dexterity tests assessing gloves protecting against cuts and stabs by hand knives. En: International Journal of Industrial Ergonomics. Vol. 56; pp. 138-149; Central Institute for Labour Protection, National Research Institute, Department of Personal Protective Equipment, 48 Wierzbowa Str., Lodz, Poland: Elsevier B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994560148&doi=10.1016%2Fj.ergon.2016.10.004&partnerID=40&md5=b0ebc74a7a9a66ecc23ef25972588554. Disponible en: 10.1016/j.ergon.2016.10.004.
Huang, Y; Yang, X; Li, Y; Zhou, D; He, K; Liu, H (2018) Ultrasound-Based Sensing Models for Finger Motion Classification. En: IEEE Journal of Biomedical and Health Informatics. Vol. 22; No. 5; pp. 1395-1405; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032453062&doi=10.1109%2FJBHI.2017.2766249&partnerID=40&md5=40757d18a30bdb86b9a46130c026a8db. Disponible en: 10.1109/JBHI.2017.2766249.
Hales, Brigette; Terblanche, Marius; Fowler, Robert; Sibbald, William (2008) Development of medical checklists for improved quality of patient care. En: International Journal for Quality in Health Care. Vol. 20; No. 1; pp. 22-30; Disponible en: https://doi.org/10.1093/intqhc/mzm062. Disponible en: 10.1093/intqhc/mzm062.
Ha, N; Withanachchi, G P; Yihun, Y (2019) Performance of Forearm FMG for Estimating Hand Gestures and Prosthetic Hand Control. En: Journal of Bionic Engineering. Vol. 16; No. 1; pp. 88-98; Department of Mechanical Engineering, Wichita State University, Washington, United States: Springer; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060244365&doi=10.1007%2Fs42235-019-0009-4&partnerID=40&md5=084e1e58f4550d0acadbfc2a21e9474c. Disponible en: 10.1007/s42235-019-0009-4.
Fu, J; Xiong, L; Song, X; Yan, Z; Xie, Y (2018) Identification of finger movements from forearm surface EMG using an augmented probabilistic neural network. En: 2017 IEEE/SICE International Symposium on System Integration, SII 2017. Vol. 2018-Janua; pp. 547-552; Chongqing Institutes of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China: Institute of Electrical and Electronics Engineers Inc.; 9781538622636 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050857772&doi=10.1109%2FSII.2017.8279278&partnerID=40&md5=4a232afb6a4461748f0d49764c29c46b. Disponible en: 10.1109/SII.2017.8279278.
Ding, S; Gao, W; Sun, X; Zhang, C; Zhang, C; Guo, M (2018) Extraction of Electromyographic Signals for Multiple-Hand-Motion Recognition via Sparse Representation Technique. En: 2018 Chinese Automation Congress, CAC 2018. pp. 3661-3665; School of Mechanical Vehicle Engineering, Linyi University, Linyi, China: Institute of Electrical and Electronics Engineers Inc.; VO-; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062801693&doi=10.1109%2FCAC.2018.8623061&partnerID=40&md5=3676a788d7e9ad537daed1fe0793dde2. Disponible en: 10.1109/CAC.2018.8623061.
Celadon, Nicolo; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Dovsen, Strahinja (2016) Proportional estimation of finger movements from high-density surface electromyography. En: Journal of NeuroEngineering & Rehabilitation (JNER). Vol. 13; pp. 1-19; BioMed Central
Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Laviolette, François; Gosselin, Benoit (2019) A low-cost, wireless, 3-D-printed custom armband for semg hand gesture recognition. En: Sensors (Switzerland). Vol. 19; No. 12; pp. 1-24; Disponible en: 10.3390/s19122811.
Qi, Jinxian; Jiang, Guozhang; Li, Gongfa; Sun, Ying; Tao, Bo (2019) Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition. En: IEEE Access. Vol. 7; pp. 61378-61387
Bradley, Efron (2010) Leave-One-Out Cross-Validation. En: Encyclopedia of Machine Learning. pp. 600-601; Boston, MA: Springer US; 978-0-387-30164-8; Disponible en: https://doi.org/10.1007/978-0-387-30164-8_469. Disponible en: 10.1007/978-0-387-30164-8_469.
Kubat, Klapan Duspara Majhen Benic Kostelac; Berlengi (2017) What is the future of minimally invasive surgery in rhinology: markerbased virtual reality simulation with touch free surgeon’s commands. En: Otolaryngol. Head Neck Surg.
Muhammad, Uzair; Sipra, Khadija Amjad; Waqas, Muhammad; Tu, Shanshan; Koubaa, Anis (2020) POSTER: Human-Robot Interaction: A Myo Armband Using EMG and IMU Signals. En: 2020 First International Conference of Smart Systems and Emerging Technologies. pp. 251-252
BERNHARDT, PAUL (2015) MYO logging IMU and Raw Data. Disponible en: https://developerblog.myo.com/myocraft-logging-imu-and-raw-emg-data/.
Behrenbeck, J; Tayeb, Z; Bhiri, C; Richter, C; Rhodes, O; Kasabov, N; Espinosa-Ramos, J I; Furber, S; Cheng, G; Conradt, J (2019) Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware. En: Journal of Neural Engineering. Vol. 16; No. 2; Department of Mechanical Engineering, Technical University of Munich, Munich, Germany: Institute of Physics Publishing; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062856050&doi=10.1088%2F1741-2552%2Faafabc&partnerID=40&md5=1c22e720d6bedf96bbdb03790e9c8dce. Disponible en: 10.1088/1741-2552/aafabc.
Bai, D; Zhang, S; Yang, J; Jiang, Y; Yokoi, H (2016) Recognition system of finger motion pattern based on AR model coefficient estimation. En: 2016 IEEE International Conference on Information and Automation (ICIA). pp. 1249-1254; VO-; Disponible en: 10.1109/ICInfA.2016.7832011.
Bai, D; Zhang, S; Yang, J; Jiang, Y; Yokoi, H (2017) Recognition System of finger motion pattern based on AR model coefficient estimation. En: 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016. pp. 1249-1254; School of Electrical Engineering, Shenyang University of Technology, Shenyang, Liaoning Province, China: Institute of Electrical and Electronics Engineers Inc.; 9781509041022 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015734716&doi=10.1109%2FICInfA.2016.7832011&partnerID=40&md5=4749e2e88f16c41d1d6bff7d0b5b0462. Disponible en: 10.1109/ICInfA.2016.7832011.
Atzori, Manfredo; Gijsberts, Arjan; Castellini, Claudio; Caputo, Barbara; Hager, Anne Gabrielle Mittaz; Elsig, Simone; Giatsidis, Giorgio; Bassetto, Franco; Müller, Henning (2014) Electromyography data for non-invasive naturally-controlled robotic hand prostheses. En: Scientific Data. Vol. 1; pp. 1-13; Disponible en: 10.1038/sdata.2014.53.
Anam, Khairul; Al-Jumaily, Adel (2017) Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees. En: Neural Networks. Vol. 85; pp. 51-68; Disponible en: http://10.0.3.248/j.neunet.2016.09.004; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=120017193&lang=es&site=ehost-live.
Ameri, Ali; Akhaee, Mohammad Ali; Scheme, Erik; Englehart, Kevin (2020) A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 28; No. 2; pp. 370-379; Disponible en: 10.1109/TNSRE.2019.2962189.
Alam, R; Rhivu, S R; Haque, M A (2018) Improved Gesture Recognition Using Deep Neural Networks on sEMG. En: 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST). pp. 1-4; VO-; Disponible en: 10.1109/ICEAST.2018.8434493.
Akhlaghi, Nima; Baker, Clayton A; Lahlou, Mohamed; Zafar, Hozaifah; Murthy, Karthik G; Rangwala, Huzefa S; Kosecka, Jana; Joiner, Wilsaan M; Pancrazio, Joseph J; Sikdar, Siddhartha (2016) Real-time classification of hand motions using ultrasound imaging of forearm muscles. En: IEEE Transactions on Biomedical Engineering. Vol. 63; No. 8; pp. 1687-1698; Disponible en: 10.1109/TBME.2015.2498124.
Akhlaghi, N; Baker, C A; Lahlou, M; Zafar, H; Murthy, K G; Rangwala, H S; Kosecka, J; Joiner, W M; Pancrazio, J J; Sikdar, S (2016) Real-time classification of hand motions using ultrasound imaging of forearm muscles. En: IEEE Transactions on Biomedical Engineering. Vol. 63; No. 8; pp. 1687-1698; Electrical and Computer Engineering Department, George Mason University, United States: IEEE Computer Society; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986242737&doi=10.1109%2FTBME.2015.2498124&partnerID=40&md5=cacd5a3d865ad705e263209da862d062. Disponible en: 10.1109/TBME.2015.2498124.
Afkari, Hoorieh; Bednarik, Roman; Mäkelä, Susanne; Eivazi, Shahram (2016) Mechanisms for maintaining situation awareness in the micro-neurosurgical operating room. En: International Journal of Human-Computer Studies. Vol. 95; pp. 1-14; Disponible en: https://www.sciencedirect.com/science/article/pii/S1071581916300489. Disponible en: https://doi.org/10.1016/j.ijhcs.2016.05.004.
Repositorio EdocUR-U. Rosario
Universidad del Rosario
instacron:Universidad del Rosarioمصطلحات موضوعية: electromiografía, neural network, red neuronal, MLPC, sistema embebido, Forearm, EMG, convolucional, antebrazo, Embebed System, Perceptron multicapa, CNN, MYO, Incidencia & prevención de la enfermedad
وصف الملف: 62 pp; application/pdf; application/octet-stream
-
2
المؤلفون: Hoyos, Daniel, Moya, Telmo, Villena, Maiver, Serrano, Víctor Hugo
المصدر: SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLPمصطلحات موضوعية: redes de sensores, Ingeniería, procesamiento embebido, solar energy, technology sensors net, embebed system, Ciencias Exactas, electrónica de control, energías renovables
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f419ca71ee5c550bfbe8821f13609b1d
http://sedici.unlp.edu.ar/handle/10915/139333
