Key result
A cloud-based nocturnal blood pressure monitoring system using Bitalino Plugged Revolution was developed to measure heartbeat wave and blood volume pulse signals for calculating blood pressure.
Why the study?
Hypertension is linked to cardiovascular diseases, creating a need to detect susceptibility to hypertension by measuring nocturnal BP without disturbing the user.
A proposed cloud-based system using Bitalino Plugged Revolution aims to measure nocturnal blood pressure unobtrusively to identify non-dippers at risk for hypertension.
Answers are grounded in this paper and cite their sources.
May enable unobtrusive nocturnal BP monitoring; hypothesis-generating pending clinical validation.
High blood pressure (BP) or hypertension is associated with various cardiovascular and chronic disease such as atherosclerosis, heart attack or failure, stroke and kidney disease. With the increasing statistic of cardiovascular disease patient each year, it is important to be able to detect whether the individual is susceptible to hypertension. The purpose of this study is to measure nocturnal BP without causing any disturbance to the user using Bitalino Plugged Revolution. Non-dippers (nocturnal BP less than ten percent of diurnal blood pressure) usually have the highest risk in developing hypertension. Heartbeat wave signals and blood volume pulse (BVP) signals are measured and stored in cloud in real time. These data will then be processed and through a series of algorithm, blood pressure is calculated.
No takes yet. Share an insight, caveat, or question.
Nee et al. (2021) studied Hypertension. Cloud-based Nocturnal Blood Pressure Monitoring System (Bitalino Plugged Revolution) was evaluated on Blood pressure calculation from heartbeat wave and blood volume pulse signals. A cloud-based nocturnal blood pressure monitoring system using Bitalino Plugged Revolution was developed to measure heartbeat wave and blood volume pulse signals for calculating blood pressure.
Synapse has enriched 10 related papers. Consider them for comparative context: