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A Novel System to Monitor Tic Attacks for Tourette Syndrome Using Machine Learning and Wearable Technology:
Agni Rajinikanth1, Davis Kevin Clark2, Marianna Evangelia Kapsetaki3
1Rutgers Preparatory School Somerset, NJ United States.
JMIR Neurotechnology
|December 4, 2025
Summary
TSBand is a new wearable wristband designed to detect Tourette syndrome tic attacks. This affordable device alerts caretakers, enabling faster support and reducing patient injury.
Area of Science:
- Neurology
- Biomedical Engineering
- Machine Learning
Background:
- Tourette syndrome is a neurological disorder characterized by involuntary tics.
- Tic attacks, often triggered by stress, can be incapacitating.
- Caretaker support is crucial for managing tic attacks.
Purpose of the Study:
- To introduce TSBand, a wearable wristband for monitoring Tourette syndrome tic attacks.
- To develop a system that alerts caretakers during tic attacks.
Main Methods:
- A survey was conducted with 70 Tourette syndrome patients to assess TSBand's usability.
- TSBand utilizes sensors (movement, heart rate, sweat, temperature) and machine learning for tic attack detection.
- Includes audio detection via recurrent neural networks and a manual alert system.
Main Results:
- A functional TSBand prototype was developed at a cost of $62.74.
- The device employs a hybrid algorithm (local outlier factoring and regression) for sensor-based detection.
- An audio-based detection mechanism and a companion app alert system are integrated.
Conclusions:
- TSBand offers an affordable and effective solution for timely caretaker intervention during tic attacks.
- The device aims to reduce self-harm and injury in Tourette syndrome patients, particularly children.
- Further rigorous testing with patients is planned upon securing grant funding.
