Key result
Wearable sensor technology and Internet of Things (IoT) devices enable continuous monitoring of vital cardiac health parameters to assist in early warning prediction for coronary heart disease.
Why the study?
Continuous wearable IoT data for cardiac parameters require real-time processing and AI-assisted models to handle unstructured data for cardiac early warning prediction.
Wearable sensor technology combined with AI-assisted analytical models holds potential for real-time cardiac health monitoring and early warning prediction of coronary heart diseases.
In the recent years, the advancements in the wearable sensor technology has made it possible to apply sensor embedded IoT devices such as smart watch, smart glass, smart phone, and smart helmet to monitor the vital cardiac health parameters. The sensor embedded IoT devices collects the healthcare data in a continuous fashion, which are least useful if not stored, processed, and analyzed in a real-time. Moreover, mearly real-time processing of the healthcare data may not serve the purpose as the underlying data might be highly unstructured and messy. Therefore, Artificial Intelligent (AI) assisted analytical models are required to analyze the healthcare data for cardiac early warning prediction. In this paper, we provide a narrative mini review on the recent advancement in wearable technology is discussed. The paper describes the growin problem of Coronary Heart Diseases (CHDs) and the wearable devices that assist in the acquisition of healthcare data.
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A 2021 study conducted a review in Coronary Heart Disease (CHD). Wearable Internet of Cardiac Health (IoCH) Monitoring was evaluated. Wearable sensor technology and Internet of Things (IoT) devices enable continuous monitoring of vital cardiac health parameters to assist in early warning prediction for coronary heart disease.
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