This paper is in the following e-collection/theme issue:

Neurotech Innovations, Diagnostic Tools and Techniques (55) Mobile Health (mhealth) (3570) Artificial Intelligence (2252) Clinical Information and Decision Making (2007) Formative Studies and eHealth/mHealth Development (584) mHealth for Data Collection and Research (1223)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50660, first published .
Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Authors of this article:

Natarajan Sriraam1 Author Orcid Image ;   S Raghu1, 2 Author Orcid Image ;   Erik D Gommer3 Author Orcid Image ;   Danny M W Hilkman3 Author Orcid Image ;   Yasin Temel2 Author Orcid Image ;   Shyam Vasudeva Rao2 Author Orcid Image ;   Alangar Satyaranjandas Hegde4 Author Orcid Image ;   Pieter L Kubben2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Jayanthi V, Sivakumar S. Quantum inspired wavelet and Fourier feature fusion for EEG based epilepsy and seizure detection. Scientific Reports 2026;16(1) View