دورية أكاديمية

Early Detection of External Neurological Symptoms through a Wearable Smart-Glasses Prototype

التفاصيل البيبلوغرافية
العنوان: Early Detection of External Neurological Symptoms through a Wearable Smart-Glasses Prototype
المؤلفون: Andrea Sciarrone, Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Mehrnaz Hamedani, Valeria Prada, Angelo Schenone, Federico Boero, Gianluca Gambari, Marco Cereia, Michele Jurilli
المصدر: Journal of Communications Software and Systems, Vol 17, Iss 2, Pp 160-168 (2021)
بيانات النشر: Croatian Communications and Information Society (CCIS), 2021.
سنة النشر: 2021
المجموعة: LCC:Computer software
مصطلحات موضوعية: iot, ehealth, wearable technology, eye blink, glasses, neurological diseases, signal processing, Computer software, QA76.75-76.765
الوصف: The Internet of Things (IoT) framework is moving the research community to provide smart systems and solutions aimed at revolutionizing medical sciences and healthcare. Given the extreme diffusion of Alzheimer’s disease (AD) and Parkinson’s disease (PD), the demand for a solution to early detect neurological symptoms of such diseases strongly arose. According to the medical literature, such early detection can be obtained through the correlation between PD and AD and some external symptoms: the Essential Tremor (ET) and the number of Eye Blinks (EBs). In this paper, which can be considered as an extended version of [1], we present a prototype of wearable smart glasses able to detect the presence of ET of the head and to count the number of EBs at the same time, in a transparent way with respect to the final user. Numerical results demonstrate the reliability of the proposed approach: the proposed algorithms are able to i) correctly recognize the ET with an overall accuracy above 97% and ii) count the number of EBs with an overall error around 9%.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1845-6421
1846-6079
Relation: https://jcoms.fesb.unist.hr/10.24138/jcomss-2021-0071/; https://doaj.org/toc/1845-6421; https://doaj.org/toc/1846-6079
DOI: 10.24138/jcomss-2021-0071
URL الوصول: https://doaj.org/article/d18c2cd5c9c749e5b8f0215c12fe61d2
رقم الأكسشن: edsdoj.18c2cd5c9c749e5b8f0215c12fe61d2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18456421
18466079
DOI:10.24138/jcomss-2021-0071