دورية أكاديمية
A dataset build using wearable inertial measurement and ECG sensors for activity recognition, fall detection and basic heart anomaly detection system
| العنوان: | A dataset build using wearable inertial measurement and ECG sensors for activity recognition, fall detection and basic heart anomaly detection system |
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| المؤلفون: | Adnan Nadeem, Amir Mehmood, Kashif Rizwan |
| المصدر: | Data in Brief, Vol 27, Iss , Pp - (2019) |
| بيانات النشر: | Elsevier, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
| مصطلحات موضوعية: | Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
| الوصف: | This paper defines two major data sets 1) from wearable inertial measurement sensors and 2) wearable ECG SHIMMER™ sensors. The first dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal inertial measurement wearable SHIMMER™ sensors unit during research studies “Fall Detection System for the Elderly Based on the Classification of Shimmer Sensor Prototype Data” [2] and “A novel fall detection algorithm for elderly using SHIMMER wearable sensors” [3]. The SHIMMER inertial sensor is a lightweight sensing device, incorporated with tri-axial accelerometer, a tri-axial gyroscope and tri-axial magnetometer, mounted on the waist of the subjects. The second dataset is developed to assess the feasibility of using SHIMMER™ wearable third generation ECG sensors for identification of basic heart anomalies by remote ECG analysis. The experimental protocol was carried out according to the Timed Up and Go (TUG) test [1], which is mainly used in fall detection and fall risk assessment systems specially designed for elderly. Three daily life activities such as standing still, walking and sitting on chair and getup were performed along with fall activity in controlled environment. This dataset is available on Data in Brief Dataverse [4] and a data repository [5]. Keywords: Inertial sensors, ECG sensor, TUG test, Fall detection systems, ECG analysis, Daily life activities, SHIMMERTM |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3409 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352340919310728; https://doaj.org/toc/2352-3409 |
| DOI: | 10.1016/j.dib.2019.104717 |
| URL الوصول: | https://doaj.org/article/98a21cef6c8f492986de8b9417f9e3a7 |
| رقم الأكسشن: | edsdoj.98a21cef6c8f492986de8b9417f9e3a7 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23523409 |
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| DOI: | 10.1016/j.dib.2019.104717 |