Students develop wearable device to track Parkinson’s tremors

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Author: Sophie BatesPublished: 20 February 2020

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A wearable device has been developed to monitor Parkinson’s tremors and their severity through the tracking of body movements.

The device – Tremor Tracker – was created by two students, Julie Gaudin and Elizabeth Hummel, at Louisiana Tech University, US, as part of a design class project.

The students designed an algorithm using data recorded from volunteer participants at Rock Steady, a boxing programme for people with Parkinson’s. They then applied the algorithm to a GENEActiv, a wrist-worn device that has been scientifically validated for clinical research.

Hummel, co-creator of the Tremor Tracker, said: “Through supervised machine learning, the device predicts whether a patient’s tremors are parkinsonian or non-parkinsonian, as well as the severity of these tremors. A quantitative analysis of parkinsonian tremors provides a more detailed disease state.”

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For more information on Parkinson’s assessment tools, please visit the EPDA website.

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Students develop wearable device to track Parkinson’s tremors

News

Author: Sophie BatesPublished: 20 February 2020

Prep: Cook: Serves:

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Janet Reno “showed the world that Parkinson’s does not have to define you”

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Soaring high: why Parkinson’s won’t stop this 70-year-old paraglider

Special reports

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Gait and tremor may be the best early predictors of Parkinson’s disease

Air pollution may be linked to greater risk of Parkinson’s disease

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Students develop wearable device to track Parkinson’s tremors

News

Author: Sophie BatesPublished: 20 February 2020

Prep: Cook: Serves:

Last Month

Next Month

Share this story

Comments

Related articles

Perspectives

Janet Reno “showed the world that Parkinson’s does not have to define you”

Health & Fitness

Soaring high: why Parkinson’s won’t stop this 70-year-old paraglider

Special reports

Neurological disorders – including Parkinson’s – are leading source of disability globally

Could virtual studies support Parkinson’s disease research?

Gait and tremor may be the best early predictors of Parkinson’s disease

Air pollution may be linked to greater risk of Parkinson’s disease

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