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

Neurotech Innovations, Diagnostic Tools and Techniques (33) Telehealth and Telemonitoring (1671) Wearable Devices and Sensors (888) mHealth for Data Collection and Research (955) Machine Learning (1465) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 2 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43351, first published .
A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device

A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device

A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology: Preliminary Survey Study and Proposal for a New Sensing Device

Authors of this article:

Agni Rajinikanth1 Author Orcid Image ;   Davis Kevin Clark2 Author Orcid Image ;   Marianna Evangelia Kapsetaki3 Author Orcid Image
Article Authors Cited by Tweetations (7) Metrics

Agni Rajinikanth   1 * ;   Davis Kevin Clark   2 * ;   Marianna Evangelia Kapsetaki   3 , MD, MSc, PhD

1 Rutgers Preparatory School, Somerset, NJ, United States

2 St George's School, Vancouver, BC, Canada

3 Faculty of Life Sciences, Division of Biosciences, University College London, London, United Kingdom

*these authors contributed equally

Corresponding Author: