News • Early diagnosis through thumb movements

Smartphone app to detect carpal tunnel syndrome

A Japanese research group combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.

Carpal tunnel syndrome is common amongst middle-aged women. The disease causes compressed nerves in the wrist, causing numbness and difficulty with finger movements. While an accurate diagnosis can be reached with nerve conduction study, this is not widely used because it requires expensive devices and specialized skills. Thus, the researchers aimed to develop a simple screen tool that does not require any specialized knowledge or techniques.

The researchers presented their approach in the journal JMIR mHealth and uHealth.

Photo
Screenshot of the app. A rabbit character and vegetables are displayed in the green circle. Vegetables are located at the center or edge of the circle, and markers are also displayed when the vegetables are located at the edge.

© Yuta Sugiura

The research group of Dr. Koji Fujita of Tokyo Medical and Dental University and associate professor Yuta Sugiura of Keio University focused on increasingly poor movements of the thumb with the advancement of the disease, and analyzed its characteristics. They developed a game application for smartphones that is played using the thumbs and prepared a program that acquires the trajectory of the thumb during a game play and estimates the possibility of the disease with machine learning. The application can screen for possible carpal tunnel syndrome using a simple game that can be played in 30 sec—1 minute. Even without gathering patient data, they were able to effectively construct an estimate mode from the data of 12 asymptomatic participants using the anomaly detection method. When this program was applied to 15 new asymptomatic subjects and 36 patients with carpal tunnel syndrome to verify its accuracy, the result was promising with 93% sensitivity, 69% specificity, and 0.86 Area Under the Curve (AUC). This is equivalent or better than the results of physical examinations by expert orthopedic surgeons.

Images of the app while playing the game. The player touches and controls a...
Images of the app while playing the game. The player touches and controls a rabbit character with the thumb of each hand to collect vegetables. Vegetables appear in one of 12 directions (A). When each vegetable is collected, the next appears alternately at the center of the circle (B) or in another direction (C).

© Yuta Sugiura

The developed tool can be used to screen for possible carpal tunnel syndrome at sites where no expert is present, such as at home or at a health center. In the future, the research group aims to develop a system that is able to encourage an examination by an expert when the disease is suspected in order to prevent exacerbation. The researchers argue that this would prevent inconvenience and social loss associated with exacerbation of a disease, which is more common among women, and contribute to creating a society where women play an active role.


Source: Japan Science and Technology Agency

30.03.2021

Read all latest stories

Related articles

Photo

News • Monitoring technology

AI to detect Parkinson’s from breathing patterns

A device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world: Parkinson's.

Photo

News • Potential of nigrosome imaging

Parkinson's: Misconception of 'swallow-tail'-sign rectified

A new understanding of the 'swallow-tail', an anatomical landmark in the brain, could pave the way for earlier detection of Parkinson's disease.

Photo

News • Preventive potential

Tell-tale signs of heightened stroke risk may appear up to 10 years earlier

The tell-tale signs of a person’s susceptibility to a stroke may appear up to 10 years before the event, suggests research published online in the Journal of Neurology Neurosurgery &…

Related products

Canon – Alphenix Biplane High Definition Detector

Bi-Plane

Canon – Alphenix Biplane High Definition Detector

Canon Medical Systems Europe B.V.
Canon – Vitrea Advanced Visualization

Reading

Canon – Vitrea Advanced Visualization

Canon Medical Systems Europe B.V.
medigration – MultiPortal

Mobile RIS/PACS Viewer

medigration – MultiPortal

medigration GmbH
Siemens Healthineers – Magnetom Amira

1.5 Tesla

Siemens Healthineers – Magnetom Amira

Siemens Healthineers
Siemens Healthineers – teamplay myCare Companion

Business Intelligence

Siemens Healthineers – teamplay myCare Companion

Siemens Healthineers
Subscribe to Newsletter