Early warning sensor for heart attacks

Date:2 March 2020 Author: Kyro Mitchell Tags:, ,

Over recent months more and more reports have surfaced about smartwatches detecting heart problems or notifying its user that something could potentially be wrong. Now, it seems as though researchers from the University of Utah Health and VA Salt Lake City Health Care System, have come up with a wearable device that makes use of AI to detect potential heart failure up to 10 days in advance.

“Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalization and stave off worsening heart failure,” said Dr. Josef Stehlik, one of the studies authors.

During the trial period of the sensor, 100 patients suffering from a coronary disease were tracked from four separate hospitals after their initial discharge. Each patient wore the sensor for a total of three months, which tracked the electrocardiogram (ECG) and the movement of patients.

The data collected from the sensors was then collected and sent to a smartphone via Bluetooth and before being passed on PhysIQ analytics platform which looked at specific indicators like heart rhythm, body posture, and sleep patterns, with AI calculating a normal baseline for each patient. If the AI PhysIQ analytics platform noticed any baseline changes, it provided a prediction of deterioration or potential failure. On average, the prediction occurred 10.4 days before hospital readmission took place.

Based on the trial period conducted by researchers, they found that the sensor and its PhysIQ analytics platform is around 80% accurate when it comes to predicting the need for hospitalization.

“This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong,” explained Dr Stehlik.

Image: Twitter/@DigitalMedDoc

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