Healthcare Monitoring System Based on Wireless Sensor Network for Cardiac Patients

Abstract

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.

A Lightweight Three-Factor Authentication Scheme for WHSN Architecture

“…Moreover, we have ( , , 2 ) from HN to FN that results in = 224 + 224 + 32 = 480 bit. Those results demonstrate that our system has the least overhead in a GW side more than all schemes in the comparison [16,17,19,22], with more strength versus numerous attacks, as shown in Table 8.…”

“…The computational cost of the proposed scheme is better than all other schemes in the foreign network side by 60% and 65% and HN side [17,19,22] with a 80% by using P-I and 85% by using P-II. Besides, P-I and P-II perform better than [12,16] in the foreign network side along with HN side with 5% and 15% reduction, respectively, as depicted in Figures 16 and 17. Furthermore, we chose a hash function with a 224 bit key size to allow the foreign network to have an adequate level of security better than [12] which takes a 160 bit key size, and [19,22] which takes a 128 bit size key, (see Tables 4-7).…”

“…Key Size [16] 1024 bits [17] 1024 bits [19] 128 bits [22] 128 bits [12] 160 bits P-I and P-II 224 bits We assumed the length of the hash function, keys, and security parameters = 224 bits, and the timestamp = 32 bits. Besides, our system contains four tuples in the foreign network side ( ( ) , , , ) that results in =224 + 224 + 224 + 32 = 704 bit.…”

“…Chang et al and Park et al [15,16] had offered an authentication structure between the user node and the gateway node and utilized a honeyword checker for the password security. Also, their scheme used random number generator from the Elliptic curve along with a hash function right before sending the authentication request.…”

The Development of the Vital Signs Tele-monitoring System for the Elderly by Using ‘UML’ Language and the Interoperability Standard ‘Continua’

“…The functions that can theoretically be activated by a remote monitoring system can be separated into three types [7].…”