scholarly journals Monitoring of Human Movements for Fall Detection and Activities Recognition in Elderly Care Using Wireless Sensor Network: a Survey

10.5772/13802 ◽  
2010 ◽  
Author(s):  
Stefano Abbate ◽  
Marco Avvenuti ◽  
Paolo Corsini ◽  
Janet Light ◽  
Alessio Vecchio
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Elderly Care ◽  
Fall Detection ◽  
Wireless Sensor ◽  
Human Movements

Improving the Elder Care’s Wireless Sensor Network Fall Detection System Using Logistic Regression

2011 ◽  
pp. 317-326
Author(s):  
Filipe Felisberto ◽  
Miguel Felgueiras ◽  
Patricio Domingues ◽  
Florentino Fdez-Riverola ◽  
António Pereira
Keyword(s):  
Logistic Regression ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Detection System ◽  
Fall Detection ◽  
Wireless Sensor

Fall Detection and Intervention based on Wireless Sensor Network Technologies

2016 ◽  
Vol 71 ◽  
pp. 116-136 ◽  
Author(s):  
A. Liu Cheng ◽  
C. Georgoulas ◽  
T. Bock
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Fall Detection ◽  
Wireless Sensor ◽  
Network Technologies

Wireless sensor network deployment for remote elderly care monitoring

2015 ◽  
Author(s):  
Athanasios Dasios ◽  
Damianos Gavalas ◽  
Grammati Pantziou ◽  
Charalampos Konstantopoulos
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Elderly Care ◽  
Wireless Sensor

Design of a fall detection system based on wireless sensor network

2013 ◽  
pp. 207-210
Author(s):  
Ming-Chih Chen ◽  
Yi-Wen Chiu ◽  
Chien-Hsing Chen ◽  
Ya-Huei Tang ◽  
Ei-Jo Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Detection System ◽  
Fall Detection ◽  
Wireless Sensor

scholarly journals Healthcare Monitoring System Based on Wireless Sensor Network for Cardiac Patients

2018 ◽  
Vol 11 (3) ◽  
pp. 1681-1688 ◽  
Author(s):  
Uttara Gogate ◽  
Jagdish Bakal
Keyword(s):  
Heart Rate ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Elderly Care ◽  
Smart Phone ◽  
Cardiac Patients ◽  
Wireless Sensor ◽  
Healthcare Monitoring ◽  
Body Parameters

Cardiovascular diseases (CVD) are the major cause of mortality globally, as well as in India. Most of the deaths caused by CVD are sudden and without giving any chance to provide any medical help. To avoid such impulsive accidental deaths precautions are always required. Due to this heart patients require continuous monitoring of certain vital body parameters such as heart rate, pulse rate and electrocardiogram (ECG) showing current health status clearly. In this paper we are presenting 3 - tier architecture of our prototype healthcare monitoring system using wireless sensor network (WSN) which is developed to continuously monitor certain body parameters of patient. Different biosensors available to measure heart rate, body oxygen level and temperature are attached to Arduino Nano board and recorded signals are sent to server using Node MCU ESP8266 wireless communication. Data is made available on remote servers for doctors and caregivers using ThingSpeak, an internet of things (IOT) application. In case of emergency caregivers can be notified using smart phone alerts. The system is useful for cardiac patients and can be used for infant or baby care and elderly care in home and hospitals. Accuracy of the system is found 95% with the response time of 10 seconds.

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