Development of Non-contact Monitoring System of Heart Rate Variability (HRV) - An Approach of Remote Sensing for Ubiquitous Technology -

2009 ◽  
pp. 195-203 ◽  
Author(s):  
Satoshi Suzuki ◽  
Takemi Matsui ◽  
Shinji Gotoh ◽  
Yasutaka Mori ◽  
Bonpei Takase ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Monitoring System ◽  
Ubiquitous Technology

scholarly journals An Automated Remote Cloud-Based Heart Rate Variability Monitoring System

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 77055-77064 ◽  
Author(s):  
Ahmed Faeq Hussein ◽  
N. Arun kumar ◽  
Marlon Burbano-Fernandez ◽  
Gustavo Ramirez-Gonzalez ◽  
Enas Abdulhay ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Monitoring System

Monitoring System during Enflurane Anesthesia Using Heart Rate Variability

2004 ◽  
Vol 46 (2) ◽  
pp. 175 ◽  
Author(s):  
Seong Wan Baik ◽  
Kyu Youn Jung ◽  
Soo Young Ye ◽  
Bong Hyo Han ◽  
Byeong Cheol Choi ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Monitoring System ◽  
Enflurane Anesthesia

scholarly journals A wearable system for real-time outpatient ECG monitoring

2019 ◽  
pp. 26-30
Author(s):  
T.O. Білобородова ◽  
І.С. Скарга-Бандурова ◽  
В.С. Дерев’янченко
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Monitoring System ◽  
Morphological Feature ◽  
Well Being ◽  
Wearable Devices ◽  
Ecg Signal ◽  
Ecg Monitoring ◽  
Systems Architecture

Functional state of the cardiovascular system is an important factor for human physical well-being. To perform analysis of the cardiovascular state, the wearable continuous ECG monitoring system is essential. In this paper, a wearable ECG monitoring system based on IoT is proposed. The systems architecture is presented. Wearable devices design employs few optimal components for the acquisition of acceptable ECG signal. The R peaks corresponding to each heartbeat, and T waves, a morphological feature of the ECG are detected. It enables to perform heart rate and heart rate variability analyses, as well as  extract, store and analyze  the long term ECG measurements.

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