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Advancing Non-Cuff Hypertension Detection: Leveraging 1D Convolutional Neural Network and Time Domain Physiological Signals

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Abstract: Timely identification of hypertension (HT) is crucial for effectively managing and reducing the potential health consequences, including cardiovascular events such as heart attacks and strokes, as well as the development of kidney disease. Traditional cuff-based devices often discourage regular monitoring because they cause discomfort. Furthermore, the lack of symptoms in HT complicates the early … Read more

Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram

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Background: Hypertension is associated with severe complications, and its detection is important to provide early information about a hypertension event, which is essential to prevent further complications. Objective: This study aimed to investigate a strategy for hypertension detection without a cuff using parameters of bioelectric signals, i.e., Electrocardiogram (ECG), Photoplethysmogram (PPG,) and an algorithm of … Read more

Identification of high blood pressure using support vector machine and time-domain heart rate variability from photoplethysmography

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Abstract: Hypertension is one of the serious threats to human health by accelerating the cardiovascular disease. The way to prevent hypertension complications is to detect and prevent high blood pressure. This study aimed to identify hypertension using photoplethysmography (PPG) records. The method used time-domain Heart Rate Variability (HRV) from PPG. It used a Support Vector … Read more