Key result
Virtual reality platform integrated with Raspberry Pi Pico W enables real-time ECG digitization and arrhythmia classification.
Why the study?
Virtual reality technology is increasingly used to develop devices for real-time heart health monitoring to enable early detection of heart disease.
A prototype virtual reality system integrated with a microcontroller can successfully digitize and classify ECG signals for potential heart health monitoring.
Hypothesis-generating for VR cardiac monitoring; prospective trials required before clinical consideration.
Virtual reality technology has become an increasingly popular tool in the field of medicine in recent years. One of the most important applications of this technology is the development of devices for monitoring heart health. Heart health monitoring devices developed in conjunction with virtual reality technology provide users with real-time measurements of heart rate, blood pressure, oxygen levels, and other parameters. These devices are seen as an important tool for early detection of heart disease, and through this technology, patients' heart health can be improved. Early detection of heart disease can prevent or slow down their progression and thus protect the patients' heart health. Therefore, virtual reality technology is considered a highly beneficial tool for heart health monitoring and treatment.
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Kuzu et al. (2023) studied Heart disease. Virtual reality heart health monitoring system was evaluated on Digitization and classification of real-time ECG signals. A virtual reality application integrated with a Raspberry Pi Pico W successfully digitized real-time ECG signals and classified them for tachycardia or bradycardia.
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