A Smart Wear based Portable Health Monitoring System

Mangal, Jai

doi:10.1109/sceecs48394.2020.68

Cited by 4 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Suspects can also measure ECG [25] by three-electrode method in Figure 6(b). For sensing the ECG signal, the electrodes are used and for filtering the ECG signal AD-8232 module.…”

mentioning

confidence: 99%

Multipurpose medical assistant robot (Docto-Bot) based on internet of things

Hossain

Rahaman

2021

IJECE

View full text Add to dashboard Cite

<span>The world's population is growing every day, and so is the number of patients. People's life expectancy is increasing due to technology's welfare, but the problem is that the health sector has always faced a shortage of inadequate doctors. This research main objective was to design and implement a biomedical-based medical assistant robot named "Docto-Bot" to deal with this problem. This research concerns this medical assistant robot's design and development for the disabled and the patients in need. Such a robot's prime utilization is to minimize person-to-person contact and ensure the cleaning, sterilization, and support in hospitals and similar facilities such as quarantine. This prototype robot consists of a medicine reminding and medicine providing system, Automatic hand sanitizer and IoT based physiological monitoring system (body temperature, pulse rate, ECG, Oxygen saturation level). A direct one-to-one server-based communication method and user-end android app maintaining system designed. It also included the controlling part, which control automatically and manually by users. Docto-Bot will play a very significant factor in bio-medical robot applications. Though the achievements described in the paper look fruitful and advanced, shortcomings still exist.</span>

show abstract

“…Suspects can also measure ECG [25] by three-electrode method in Figure 6(b). For sensing the ECG signal, the electrodes are used and for filtering the ECG signal AD-8232 module.…”

mentioning

confidence: 99%