This paper is published in Volume-3, Issue-6, 2017
Area
Sensor Glove for Comatose Patient
Author
Zakir Hussain, Ravindiran
Org/Univ
Saveetha School of Engineering, Saveetha University, Chennai, Tamil Nadu, India
Pub. Date
30 November, 2017
Paper ID
V3I6-1315
Publisher
Keywords
Vegetative State, Hypothalamic, Pathos-Physio-Logy Anticonvulsant Treatment

Citationsacebook

IEEE
Zakir Hussain, Ravindiran. Health Monitoring System for Comatose Patients: A Survey, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Zakir Hussain, Ravindiran (2017). Health Monitoring System for Comatose Patients: A Survey. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.

MLA
Zakir Hussain, Ravindiran. "Health Monitoring System for Comatose Patients: A Survey." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.

Abstract

This survey paper outlines the existing and proposed system for a comatose patient health monitoring aid. In general, the comatose patients never respond for anything however they might abnormal movements are frequently encountered in patients with brain injury characterization of these movements and their underlying pathophysiology is difficult due to the comatose or uncooperative state of the patient. Thus, we reviewed the available literature regarding abnormal movements encountered in acutely ill patients with brain injuries. There are so many abnormal movements in the seen in each category as well as their epidemiologic, semiology and clinicopathologic correlates. We propose a practical paradigm that can be applied at the bedside for diagnosing abnormal movements in patients. which they are self-conscious and that can make them reticent. The Hand Talk glove is a normal, cloth driving glove fitted with flex sensors. The sensors output a stream of data that varies with the degree of bend made by the fingers. Flex sensors are sensors that change in resistance depending on the amount of bend on the sensor. They convert the change in a bend to electrical resistance and send data to the doctor.