Hypertension

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

Heart Rate Variability of Photoplethysmography for Hypertension Detection Using Support Vector Machine

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Abstract: Early detection of hypertension is essential as it is a common chronic age-related disease often associated with debilitating cardiovascular complications. The aim of this article is to find the best accuracy performance in detecting hypertension. This article introduced a method for hypertension detection without a cuff using parameters of photoplethysmography (PPG) and support vector … Read more