Research Article
A Pilot mHealth Project for Monitoring Vital Body Signals and Skin Conditions
@INPROCEEDINGS{10.1007/978-3-031-06368-8_18, author={Rodrigue B. Tchema and Georgios Tzavellas and Marios Nestoros and Anastasis C. Polycarpou}, title={A Pilot mHealth Project for Monitoring Vital Body Signals and Skin Conditions}, proceedings={Wireless Mobile Communication and Healthcare. 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13--14, 2021, Proceedings}, proceedings_a={MOBIHEALTH}, year={2022}, month={6}, keywords={Heart-beat rate detection Skin disorder diagnosis Deep learning algorithms}, doi={10.1007/978-3-031-06368-8_18} }- Rodrigue B. Tchema
Georgios Tzavellas
Marios Nestoros
Anastasis C. Polycarpou
Year: 2022
A Pilot mHealth Project for Monitoring Vital Body Signals and Skin Conditions
MOBIHEALTH
Springer
DOI: 10.1007/978-3-031-06368-8_18
Abstract
In this paper, we present a pilot project on mobile health (mHealth) which is designed to monitor on a continuous basis the health condition of individuals using a mobile device such as a smartphone or a tablet. The objectives of this pilot project include highly accurate calculation of heart-beat rate using either a smartphone camera or an autonomous, self-powered mini-device which communicates measurement data to the mobile device through Bluetooth or Wi-Fi. In addition, we aim at detecting potentially dangerous skin conditions at an early stage using the smartphone camera and machine learning (ML) or deep learning (DL) algorithms. The trained algorithm will be able to detect malignant cases of skin conditions by searching through various built-in categories of commonly found skin disorders.
