This research is funded by PNBP 2019.
Team:
Aripriharta, Ph.D.
Dr. Muladi, S.T., M.T.
Ilham Ari Elbaith Zaeni, Ph.D.
Dr. Eng. Anik Nur Handayani
I Made Wirawan, S.T., M.T.
Collaborator: Gwo Jiun Horng, Ph.D. (STUST, Taiwan)
Students: Adim Firmansah, Akhmad Afrizal Rizqi, & Mery Nur Laili
The elderly are very vulnerable to the danger of a heart attack. very hypertensive patients prone to heart attacks, hypertension is also very influential in stroke. Monitoring vital signals intensively and is needed as an early detection effort for a heart attack to eliminate death. The general purpose of this research is to create an early detection system for possible heart attacks with vital signals via the dorsal pedis vessels. Specific research objectives is to produce medical stuff independently. The target level of this research is TKT 3, which is a prototype of smart shoes and cloud-based applications. The main contributions of this research are (1) self-powered medical things in the form of smart shoes, (2) a heart attack and hypertension diagnosis system in the form of a cloud application that can be accessed via a smartphone. This research contains three aspects of novelty in modern medical device technology. First is the vital signal measurement system in the foot. Smart shoes equipped with sensors to record heart rate (pulse) via the dorsal pedis vein. This research method is research and development with several stages. The first is a hardware design and experimentation for producing a prototype smart shoe. The second is the design of software apps and integration with hardware. Performance testing of the prototype was carried out by involving 20 volunteers. This prototype was validated with the help of experts and medical devices standards. The output of this research is in the form of 5 reputable international seminar papers, and prototypes of smart shoes, 1 android app copyright certificate and a simple patent still registered.
Keywords: body energy harvesting, independent heart health device, smart shoes, hypertension.
Publications
2020 Modelling of adaptive power management circuit with feedback for self-powered IoT. Download paper here
2020 Performance evaluation of the heart rate measurement using smart shoes. Download paper here
2020 A new battery management system for self-powered smart shoes. Download paper here
2020 Adaptive power management for self-powered IoT on smart shoes. Download paper here
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