دورية أكاديمية
Early Detection of External Neurological Symptoms through a Wearable Smart-Glasses Prototype
العنوان: | Early Detection of External Neurological Symptoms through a Wearable Smart-Glasses Prototype |
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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 |
تدمد: | 18456421 18466079 |
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DOI: | 10.24138/jcomss-2021-0071 |