Design and validation of a novel multiple sites signal acquisition and analysis system based on pressure stimulation for human cardiovascular information

Cardiovascular diseases (CVDs) pose a significant threat to human health and place considerable strain on healthcare systems. Therefore, it is crucial to maximize the acquisition of cardiovascular information (CVI) through non-invasive methods to enhance early screening, diagnosis, and evaluation of CVDs. Numerous studies have demonstrated that obtaining more CVI by simultaneously acquiring multi-site signals and applying pressure stimulation at specific sites, such as blood pressure measurement, is an effective approach. Based on this evidence, we proposed a novel signal acquisition-and-analysis system to gather comprehensive CVI through a combination of a non-pressure and six pressure-stimulation sub-processes. This system involves the novelty of applying slowly gradual decrease, personalized maximum-pulse amplitude, and blocking blood-flow pressure to six cuffs placed on both arms, wrists, and ankles in a predetermined time sequence. During each sub-process, the system has newly integrated the multi-site simultaneous collection of 27-channel non-invasive signals, including electrocardiogram, heart sound, lung sound, photoplethysmographic-and-pressure pulse. To ensure measurement accuracy, three types of verification-and-calibration instruments were employed. Our results demonstrate that the system can achieve simultaneous acquisition of 27-channel signals during each sub-process, yielding both novel and traditional cardiovascular parameters with high accuracy and good stability. Furthermore, the results suggest that the system can facilitate in-depth research into the relationships between collected signals and CVDs, provide rich raw data for cardiovascular health assessment and disease prediction models based on machine learning algorithms, and offer a new non-invasive method for early diagnosis, evaluation, and prediction of CVDs.

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Publication Details

Journal
Scientific Reports
Published
2025-04-18
DOI
https://doi.org/10.1038/s41598-025-97812-8
Citations
2
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
2.78
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article

Design and validation of a novel multiple sites signal acquisition and analysis system based on pressure stimulation for human cardiovascular information

Po‐Hao Feng, Gaiqin Liu, Longcong Chen, Juan Jiang et al.
2 citations
Scientific Reports
ECG Monitoring and Analysis
2.78
article

Design and validation of a novel multiple sites signal acquisition and analysis system based on pressure stimulation for human cardiovascular information

Po‐Hao Feng, Gaiqin Liu, Longcong Chen, Juan Jiang, Yuan Li
article en
2 citations

Abstract

Cardiovascular diseases (CVDs) pose a significant threat to human health and place considerable strain on healthcare systems. Therefore, it is crucial to maximize the acquisition of cardiovascular information (CVI) through non-invasive methods to enhance early screening, diagnosis, and evaluation of CVDs. Numerous studies have demonstrated that obtaining more CVI by simultaneously acquiring multi-site signals and applying pressure stimulation at specific sites, such as blood pressure measurement, is an effective approach. Based on this evidence, we proposed a novel signal acquisition-and-analysis system to gather comprehensive CVI through a combination of a non-pressure and six pressure-stimulation sub-processes. This system involves the novelty of applying slowly gradual decrease, personalized maximum-pulse amplitude, and blocking blood-flow pressure to six cuffs placed on both arms, wrists, and ankles in a predetermined time sequence. During each sub-process, the system has newly integrated the multi-site simultaneous collection of 27-channel non-invasive signals, including electrocardiogram, heart sound, lung sound, photoplethysmographic-and-pressure pulse. To ensure measurement accuracy, three types of verification-and-calibration instruments were employed. Our results demonstrate that the system can achieve simultaneous acquisition of 27-channel signals during each sub-process, yielding both novel and traditional cardiovascular parameters with high accuracy and good stability. Furthermore, the results suggest that the system can facilitate in-depth research into the relationships between collected signals and CVDs, provide rich raw data for cardiovascular health assessment and disease prediction models based on machine learning algorithms, and offer a new non-invasive method for early diagnosis, evaluation, and prediction of CVDs.

Scientific ReportsVol. 15(1)
Chongqing University of Science and Technology (CN), Chongqing City Mental Health Center (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Children's Hospital of Chongqing Medical University (CN), Chongqing University of Technology (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 10%
ECG Monitoring and Analysis
2.78
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