An efficient priority‐based convolutional auto‐encoder approach for electrocardiogram signal compression in Internet of Things based healthcare system

2020 ◽  
Author(s):  
Rakesh Kumar Mahendran ◽  
Parthasarathy Velusamy ◽  
Parthasarathy R ◽  
Shanmugapriyan J ◽  
Prakash Pandian
Keyword(s):  
Internet Of Things ◽  
Healthcare System ◽  
Signal Compression ◽  
Electrocardiogram Signal

scholarly journals Internet of Things (IoT) Based Design of a Secure and Lightweight Body Area Network (BAN) Healthcare System

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2919 ◽  
Author(s):  
Yong-Yuan Deng ◽  
Chin-Ling Chen ◽  
Woei-Jiunn Tsaur ◽  
Yung-Wen Tang ◽  
Jung-Hsuan Chen
Keyword(s):  
Internet Of Things ◽  
Healthcare System ◽  
Body Area Network ◽  
Area Network ◽  
Body Area

scholarly journals Monitoring of the Human Body Signal through the Internet of Things (IoT) Based LoRa Wireless Network System

2019 ◽  
Vol 9 (9) ◽  
pp. 1884 ◽  
Author(s):  
Mohammad Shahidul Islam ◽  
Mohammad Tariqul Islam ◽  
Ali F. Almutairi ◽  
Gan Kok Beng ◽  
Norbahiah Misran ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Oxygen Saturation ◽  
Wireless Network ◽  
Monitoring System ◽  
Healthcare System ◽  
Pulse Rate ◽  
Health Monitoring ◽  
Physiological Data ◽  
Network System ◽  
Health Monitoring System

Internet of Things (IoT) based healthcare system is now at the top peak because of its potentialities among all other IoT applications. Supporting sensors integrated with IoT healthcare can effectively analyze and gather the patients’ physical health data that has made the IoT based healthcare ubiquitously acceptable. A set of challenges including the continuous presence of the healthcare professionals and staff as well as the proper amenities in remote areas during emergency situations need to be addressed for developing a flexible IoT based healthcare system. Besides that, the human entered data are not as reliable as automated generated data. The development of the IoT based health monitoring system allows a personalized treatment in certain circumstances that helps to reduce the healthcare cost and wastage with a continuous improving outcome. We present an IoT based health monitoring system using the MySignals development shield with (Low power long range) LoRa wireless network system. Electrocardiogram (ECG) sensor, body temperature sensor, pulse rate, and oxygen saturation sensor have been used with MySignals and LoRa. Evaluating the performances and effectiveness of the sensors and wireless platform devices are also analyzed in this paper by applying physiological data analysis methodology and statistical analysis. MySignals enables the stated sensors to gather physical data. The aim is to transmit the gathered data from MySignals to a personal computer by implementing a wireless system with LoRa. The results show that MySignals is successfully interfaced with the ECG, temperature, oxygen saturation, and pulse rate sensors. The communication with the hyper-terminal program using LoRa has been implemented and an IoT based healthcare system is being developed in MySignals platform with the expected results getting from the sensors.

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