Novel wearable belt with sensors accurately monitors heart failure 24/7

There are about 64 million cases of heart failure worldwide. According to the American Heart Association, 6.2 million adults in the United States have heart failure and that number is estimated to increase to 8 million by 2030. Heart failure is a progressive clinical syndrome characterized by a structural abnormality of the heart, in which the heart is unable to pump sufficient blood to meet the body’s requirements.

There are currently two heart failure monitoring systems available. However, they are costly and pose risks because they are surgically implanted under the skin. Moreover, about half of patients with heart failure do not need an implantable device or do not qualify for the thoracic (area between the neck and abdomen) monitoring these devices provide. There is a critical need for non-invasive solutions to monitor heart failure progression around the clock.

Researchers from Florida Atlantic University’s College of Engineering and Computer Science in collaboration with FAU’s Christine E. Lynn College of Nursing have developed a prototype of novel wearable device that can continuously monitor all of the physiological parameters associated with heart failure in real time.

The technology is based on sensors embedded in a lightweight belt conveniently worn around the waist to monitor thoracic impedance, electrocardiogram (ECG), heart rate and motion activity detection. The system uses different sensors for sensing these parameters. Thoracic impedance is a critical bio-signal to monitor heart failure progression. Similarly, ECG is a vital bio-signal to diagnose and predict cardiovascular diseases. ECG measures electrical signals through the heart using a Holter monitor, which is not suitable for point-of-care use.

For the study, published in Scientific Reports, researchers tested the wearable device in different conditions including sitting, standing, lying down and walking. For each condition, results were obtained for each of the sensors sequentially. The physiological parameters selected are significant in determining heart failure symptoms.

Findings showed that all of sensors kept track of the changes for all of the different conditions. The position sensor correctly highlighted the change in position in different conditions and could be used to identify different states of the wearer of the device. In addition, the heart rate sensor continually kept track of the heart rate. Importantly, the device correctly highlighted minute changes in thoracic impedance.

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