Levolution of Parkinson disease is characterized by deterioration in motor control, and researchers are beginning to explore how this phenomenon could be monitored through a person’s walking habits. A new system from the Massachusetts Institute of Technology (MIT/ USA) aims to implement this system in the home, remotely monitoring a patient’s gait to assess the severity of Parkinson’s disease with a new level of accuracy.
The system, described as a “human radar”, is an adaptation of a technology designed to diagnose Parkinson’s disease by tracking a person’s breathing pattern using artificial intelligence. A neural network, a series of connected algorithms that mimic the functioning of the human brain, is thus able to determine if a person has Parkinson’s disease from their nocturnal breathing, i.e. breathing patterns that occur during sleep. She can also assess the severity of the disease.
In this latest version, the system uses radio signals that are sent back by a person’s body, detecting subtle movements that can reveal telltale signs of the disease or its progression.
For their latest work, the team led by MIT’s Dina Katabi turned this technology into a device the size of a Wi-Fi router and used it to study the walking habits of 50 participants, including 34 with Parkinson’s disease, at home for a year. Data collected throughout the study included more than 200,000 gait speed measurements, which were analyzed using algorithmsmachine learning to track the progression of Parkinson’s disease and how patients responded to medication.
According to Guo Zhang, a member of the research team:
Continuously monitoring the patient as they move around the room allowed us to get very good measurements of their walking speed. And with that much data, we were able to do an aggregation that allowed us to see very small differences.
In particular, the team found that walking speed decreased almost twice as fast in people with Parkinson’s disease as in those without, and that daily fluctuations in walking speed correlated with how they reacted. to their medications. Ultimately, the team found that a clinician could use the system to track the progression of Parkinson’s disease and response to medications more accurately than periodic clinical examinations allow.
According to Ray Dorsey, co-author of this research paper:
This radio wave sensor could help move more care (and research) from hospitals to homes, where it is most wanted and needed. Its potential is just beginning to be seen. We are heading towards a day when we can diagnose and predict disease at home. In the future, we may even be able to predict and, ideally, prevent events such as falls and heart attacks.
The study published in the journal Science Translational Medicine: Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response and presented on the website of the Massachusetts Institute of Technology: In-home wireless device tracks disease progression in Parkinson’s patients.
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Smart Home Gait Monitoring System Wirelessly Tracks Parkinson’s Progress – GuruMeditation
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