Key points are not available for this paper at this time.
Medi-Watch aims to further improve patient care and monitoring within healthcare facilities through the integration of IoT and at a lower cost. We have developed a comprehensive patient management system that utilizes automated camera monitoring to track various aspects of patient behavior including eating patterns, sleep cycles, medication adherence, fall detection, facial expression, patient's gestures requests. This could in turn be repurposed and integrated in existing health care systems. Medi-Watch integrates all detection modules in one seamless package and ensure patient privacy by adding a factor of anonymity between the nursing staff and the patient monitored by withholding live camera feeds and only updating live statuses. This also introduces a convenience factor to the nursing staff as they receive realtime notifications via the desktop app and the companion mobile app, enabling them to tend to the patients' needs in a quicker manner. The proposed system with proper integration resulted in a combined average of 92.58% accuracy in all detection categories.
Building similarity graph...
Analyzing shared references across papers
Loading...
Youssef M. Farag
Mina Samir Ghobrial
Pola Emanuel Melad
Helwan University
October University of Modern Sciences and Arts
Building similarity graph...
Analyzing shared references across papers
Loading...
Farag et al. (Tue,) studied this question.
synapsesocial.com/papers/68e6935fb6db64358761a290 — DOI: https://doi.org/10.1109/iceeng58856.2024.10566376