Artificial intelligence to monitor Parkinson’s symptoms

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Author: Simge DoganPublished: 5 July 2018

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Researchers at Massachusetts Institute of Technology, US have developed an artificial intelligence system that can monitor Parkinson’s symptoms from the other side of a solid wall.

The x-ray technology – named RF-Pose – will use radio signals to sense individuals’ posture and movement. This will help medical professionals track the development of Parkinson’s and provide more effective care.

Dina Katabi, professor of electrical engineering and computer science at Massachusetts Institute of Technology, said: “We’ve seen that monitoring patients’ walking speed and ability to do basic activities on their own gives healthcare providers a window into their lives that they didn’t have before.

“A key advantage of our approach is that patients do not have to wear sensors or remember to charge their devices.”

For more information on Parkinson’s diagnosis please visit the EPDA website.

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‘Dopamine-boosting’ BT13 molecule could be used to slow Parkinson’s

Researchers have discovered that a molecule called BT13 could have potential to treat Parkinson’s. The study, conducted by scientists from the University of Helsinki, Finland, found that mice injected with the BT13 molecule had an increase in dopamine levels in the brain. Their findings also suggested that the molecule could lead to a new drug treatment to protect the brain cells that produce dopamine. Dopamine helps coordinate movement, but people with Parkinson’s have normally lost between 70 and 80% of the brain cells that produce the neurotransmitter when they are diagnosed with the condition. Professor David Dexter, Deputy Director of Research at Parkinson’s UK – which co-funded the study – said: “People with Parkinson’s desperately need a new treatment that can stop the condition in its tracks, instead of just masking the symptoms. “More research is needed to turn BT13 into a treatment to be tested in clinical trials, to…

Students develop wearable device to track Parkinson’s tremors

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.”

Can awakening dormant neurons reverse Parkinson’s motor symptoms?

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Artificial intelligence to monitor Parkinson’s symptoms

News

Author: Simge DoganPublished: 5 July 2018

Prep: Cook: Serves:

Last Month

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VIDEO: Watch Parkinson’s patient walk again after hearing favourite song

Health & Fitness

The body-popping dance class that helps people “forget” they have Parkinson’s

Interviews

Paint relief: “The joy of painting outshines my Parkinson’s symptoms”

‘Dopamine-boosting’ BT13 molecule could be used to slow Parkinson’s

Students develop wearable device to track Parkinson’s tremors

Can awakening dormant neurons reverse Parkinson’s motor symptoms?

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Artificial intelligence to monitor Parkinson’s symptoms

News

Author: Simge DoganPublished: 5 July 2018

Prep: Cook: Serves:

Last Month

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Share this story

Comments

Related articles

Perspectives

VIDEO: Watch Parkinson’s patient walk again after hearing favourite song

Health & Fitness

The body-popping dance class that helps people “forget” they have Parkinson’s

Interviews

Paint relief: “The joy of painting outshines my Parkinson’s symptoms”

‘Dopamine-boosting’ BT13 molecule could be used to slow Parkinson’s

Students develop wearable device to track Parkinson’s tremors

Can awakening dormant neurons reverse Parkinson’s motor symptoms?

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