Effectiveness validation of Physical Exercise Routines for Hypertensive Patients using Wearable Devices and Machine Learning
E3S Web Conf., 532 (2024) 02005
Published online: 2024-06-06
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patients
Hendrik Schäfer, Vassilis Tsakanikas, René Garbsch, Mona Kotewitsch, Marc Teschler, Dimitris Gatsios, Dimitrios I. Fotiadis, Frank C. Mooren and Boris SchmitzJournal of Sport and Health Science 101144 (2026)
https://doi.org/10.1016/j.jshs.2026.101144
A robust deep learning model for fall action detection using healthcare wearable sensors
Abdulwahab Alazeb, Iqra Aijaz Abro, Naif Al Mudawi, Haita F. Alhasson, Naif S. Alshassari, Mohammed Alshehri and Fatimah AlhayanPeerJ Computer Science 11 e3300 (2025)
https://doi.org/10.7717/peerj-cs.3300