04 Nov

New Delhi: Abbott on Wednesday announced the launch of its new implantable cardioverter defibrillator (ICD) and cardiac resynchronization therapy defibrillator (CRT-D) devices for abnormal heart rhythms and heart failure.

CRT-Ds are used to prevent sudden death similar to traditional ICDs, but in addition act to restore the heart’s natural pattern of beating in patients with reduced cardiac function and progressive heart failure despite optimal medical therapy.

The devices offer new opportunities for patient engagement and remote monitoring through smartphone connectivity and connected applications. Additional benefits include a patient preferred design, improved battery longevity and MRI compatibility, said the company in a release.

"We are trying to simulate or emulate this process by using our machine learning approach," Wang added.

The team's novel approach analysed the presence of stroke among actual emergency room patients with suspicion of stroke by using computational facial motion analysis and natural language processing to identify abnormalities in a patient's face or voice, such as a drooping cheek or slurred speech.

To train the computer model, the researchers built a dataset from more than 80 patients experiencing stroke symptoms at Houston Methodist Hospital in Texas.

Each patient was asked to perform a speech test to analyze their speech and cognitive communication while being recorded on an Apple iPhone.

"The acquisition of facial data in natural settings makes our work robust and useful for real-world clinical use, and ultimately empowers our method for remote diagnosis of stroke and self-assessment," said Huang.

Testing the model on the Houston Methodist dataset, the researchers found that its performance achieved 79 per cent accuracy -- comparable to clinical diagnostics by emergency room doctors, who use additional tests such as CT scans.

However, the model could help save valuable time in diagnosing a stroke, with the ability to assess a patient in as little as four minutes.

Source:-  Economic TImes

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