Efficient and Compressive IoT based Health Care System for Parkinson's Disease Patient

被引:3
作者
Pathak, Vinay [1 ]
Singh, Karan [1 ]
Aziz, Ahmed [2 ]
Dhoot, Anshita [1 ]
机构
[1] Jawaharlal Nehru Univ, Sch Comp & Syst Sci, New Delhi, India
[2] Benha Univ, Fac Comp & Artificial Intelligence, Banha, Egypt
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE | 2020年 / 167卷
关键词
Wearable Devices; Internet of Things; Compressive sensing; Sensor; Smart Healthcare System; Parkinson's disease; Brain Signal Analyses; WEARABLES; INTERNET;
D O I
10.1016/j.procs.2020.03.441
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are various diseases arising in the world with new unexpected areas. Each disease has its own symptoms and cures. Some people are capable to fight against these diseases but most of them are a part of the attacks done by the diseases. This paper introduces the Parkinson's disease patient with the idea to work their body normally with the help of artificial life to their neurons by adding a chip known as Electroencephalography (EEG) into their brains that work in the form of wearable devices. This is required for those people who are suffering from this disease and could not able to communicate with another people just because they cannot able to send their signals properly to the brain because they do not get the signals on time because of dead neurons. This paper is going to introduce architecture to work on the brain by using several chips, which help to send signals and become a mediator/transmitter who sends to do work. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1046 / 1055
页数:10
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