International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 90
Paper Published : 1248
No. of Authors : 3136
  Journal Paper

Paper Title
Brain Disorder Detection using Internet of Things

Abstract
The Internet of things refers to the devices or objects that are connected to the internet and capable of sharing and collecting data. The IoT is capable of connecting many devices at a time and allows these devices to connect with the internet so that they can provide realtime information on the state of health status of patients and provide information in real time to medical assistants like doctors/experts who assist smart devices. This can be used to evaluate the health condition of the patient. In this paper we propose a brain disorder detection system for health care. The proposed system detects brain disorder from voice, facial expressions and movements. The detection of a seizure can be efficiently faced using wearable sensors (WDs) including a triaxial accelerometer (ACM) and a heart rate (HR) sensor. Keywords - Neurological Disorder; Wearable Sensors; Triaxial Accelerometer; Heart Rate


Author - Vishnupriya K, Neethu George

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| Published on 2018-08-28
   
   
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