How Sensor Technology Can Aid in the Detection of Parkinson's Disease

Engineers at Harvard University have developed an exosuit fitted with sensors for the remote monitoring of patients at home. It also detects the early signs of Parkinson’s disease by monitoring minute changes in muscle strain.

Image Credit: Oluwaseun Araromi, Harvard University

Parkinson’s disease affects close to one million people in the U.S. alone. It is caused by a deficiency in the transport of dopamines in neurons. This results in muscle tremors, limb rigidity and difficulties in walking. Wearable sensors integrated with MyoExo technology are set to provide researchers with valuable “muscle-centric physiological signature” data.

The enabling technology underlying this is a sensor that detects small changes in the shape of an object. Parkinson’s disease, especially in its later stages, really expresses itself as a movement disorder, so sensors that can detect shape changes can also detect changes in the shape of muscle as people move.

Dr. Oluwaseun Araromi, School of Engineering & Applied Sciences, Harvard University

An Introduction to Exosuits

In the animal kingdom, an exoskeleton develops on the outside of an animal’s body and is formed of carbohydrates, proteins and minerals. While providing support for the internal organs, it is also lightweight and flexible, enabling the animal to move with ease.

Inspired by nature’s designs, exosuits are robotic training devices for correcting the gait of wearers that are manufactured from soft (flexible) materials, excluding any rigid structures which could restrict movement.

Thus exosuits, when equipped with wearable sensors, enable accurate adjustments to a wearer’s gait. Healthy individuals can learn to move more efficiently, while patients suffering from neurological or physical disorders can rehabilitate more quickly.

Exosuits attach to the wearer’s body comfortably (and securely) while redistributing forces along biomechanically efficient pathways. In fact, assistive forces can often be generated passively through natural movements alone without the need for active power.

Sensor systems based on off-the-shelf sensor technologies such as pressure sensors, gyro, and IMU can be integrated into soft fabrics and textiles to monitor key events in the gait cycle to record movements, track changes or enable control.

Moreover, active and passive redistribution of loads reduce the risks of injuries. This carries many benefits in applications beyond medicine, such as sports and military training.

Designing Wearable Sensors for Exosuits

The Harvard MyoExo project was based on technology already developed at Harvard University’s School of Engineering & Applied Sciences and the Wyss Institute for Biologically Inspired Engineering.

The project forms part of the Harvard Innovation Lab venture program. It builds on the work of Prof. Conor Walsh at the Harvard Biodesign Lab and Prof. Rob Wood at the Microrobotics Lab.

MyoExo has two aims — Namely, to build on advances in remote patient monitoring systems but also to build an early detection system for Parkinson’s disease.

MyoExo technology is based on a series of wearable sensors that can detect minute changes in muscle strain and bulging, thus providing rich physiological muscle data.

If we had these hypersensitive sensors in something that a person was wearing, we could detect how their muscles were bulging…that was more application-agnostic. We didn’t know exactly where that would be the most important, and I credit Seun and our Wyss collaborators for being the ones to think about identifying Parkinson’s applications.

Prof. Conor Walsh, Harvard Biodesign Lab

The technology is still in its early stages and needs to prove its accuracy in gathering clinically relevant data. The team wants to show how the technology can separate healthy muscle contractions from Parkinson’s induced muscle movements.

The next step is to separate the early and late stages of the disease. The proof of concept is being supported by the Wyss Institute Validation Project program.

In these early stages, Dr. Araromi sees the technology benefiting three stakeholders — Clinicians who could monitor the effectiveness of treatment regimes, the pharmaceutical industry, which could quantify medication dosages, and patients who could actively participate in their own recovery.

References and Further Reading

Chen, L., et. al., (2021) A Novel Lightweight Wearable Soft Exosuit for Reducing the Metabolic Rate and Muscle Fatigue. Biosensors, [online] Vol. 11 Issue 7 Available at: https://www.mdpi.com/2079-6374/11/7/215/htm

Sridar, S., et. al., (2018) A Soft-Inflatable Exosuit for Knee Rehabilitation: Assisting Swing Phase During Walking. Frontiers in Robotics and AI, [online] Available at: https://www.frontiersin.org/articles/10.3389/frobt.2018.00044/full

Goisman, M., (2022) Sensing Parkinson’s symptoms [online] Available at: https://www.seas.harvard.edu/news/2022/03/sensing-parkinsons-symptoms

Harvard Biodesign Lab. Soft Exosuits. [online] Available at: https://biodesign.seas.harvard.edu/soft-exosuits

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

William Alldred

Written by

William Alldred

William Alldred is a freelance B2B writer with a bachelor’s degree in Physics from Imperial College, London. William is a firm believer in the power of science and technology to transform society. He’s committed to distilling complex ideas into compelling narratives. Williams’s interests include Particle & Quantum Physics, Quantum Computing, Blockchain Computing, Digital Transformation and Fintech.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Alldred, William. (2022, March 29). How Sensor Technology Can Aid in the Detection of Parkinson's Disease. AZoSensors. Retrieved on December 08, 2022 from https://www.azosensors.com/news.aspx?newsID=14974.

  • MLA

    Alldred, William. "How Sensor Technology Can Aid in the Detection of Parkinson's Disease". AZoSensors. 08 December 2022. <https://www.azosensors.com/news.aspx?newsID=14974>.

  • Chicago

    Alldred, William. "How Sensor Technology Can Aid in the Detection of Parkinson's Disease". AZoSensors. https://www.azosensors.com/news.aspx?newsID=14974. (accessed December 08, 2022).

  • Harvard

    Alldred, William. 2022. How Sensor Technology Can Aid in the Detection of Parkinson's Disease. AZoSensors, viewed 08 December 2022, https://www.azosensors.com/news.aspx?newsID=14974.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit