Key result
An innovative system for simultaneous noninvasive monitoring and synchronized storage of photoplethysmographic signals and blood pressure values was proposed to train automatic classifiers.
Why the study?
Reliable blood pressure evaluation using IoT devices acquiring photoplethysmographic signals is needed to enable continuous monitoring and early diagnosis of cardiovascular diseases.
The proposed system facilitates the creation of a heterogeneous database of synchronized PPG and BP signals to train classifiers for continuous BP monitoring via IoT devices.
Facilitates synchronized PPG-BP datasets for IoT classifier training; leaves open prospective validation before clinical adoption.
The paper presents an innovative system for the simultaneous noninvasive monitoring and synchronized storage of the photoplethysmographic (PPG) signals and blood pressure (BP) values. Because it is noninvasive, the proposed monitoring system will permit to achieve signals from both healthy and un-healthy patients and then to create a wide and heterogeneous base of knowledge to properly train automatic classifiers. The final aim is to permit the reliable BP evaluation through the umpteen IoT devices able to acquire the PPG signal, nowadays available on the market. This will permit the BP monitoring every time and every were and then the early diagnosis of several cardiovascular diseases.
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Lamonaca et al. (2019) studied Blood pressure monitoring. Simultaneous noninvasive monitoring system for PPG signals and BP values was evaluated. An innovative system for simultaneous noninvasive monitoring and synchronized storage of photoplethysmographic signals and blood pressure values was proposed to train automatic classifiers.
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