IoT Assisted Real Time PPG Monitoring System for Health Care Application

Bhowmick, Subhajit; Kundu, Palash Kumar; Mandal, Dharma Das

doi:10.1109/cmi50323.2021.9362852

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…Literatures [3,4] used electroencephalography (EEG) to design a sleep monitoring system and an epilepsy prediction system. Bhowmick used photoplethysmography (PPG) to design a PPG monitoring system and stored the PPG model parameters in the cloud for clinical diagnosis [5]. Huang used electromyography (EMG) to design a diet monitoring system, which receives EMGs of the mastication muscles through glasses to detect intake-related events [6].…”

Section: Introductionmentioning

confidence: 99%

Wearable Technology and Visual Reality Application for Healthcare Systems

Lin

Peng

2022

Electronics

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This study developed a virtual reality interactive game with smart wireless wearable technology for healthcare of elderly users. The proposed wearable system uses its intelligent and wireless features to collect electromyography signals and upload them to a cloud database for further analysis. The electromyography signals are then analyzed for the users’ muscle fatigue, health, strength, and other physiological conditions. The average slope maximum So and Chan (ASM S & C) algorithm is integrated in the proposed system to effectively detect the quantity of electromyography peaks, and the accuracy is as high as 95%. The proposed system can promote the health conditions of elderly users, and motivate them to acquire new knowledge of science and technology.

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