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.
Authors
- Po‐Hao Feng (ORCID: https://orcid.org/0000-0002-3569-3746)
- Gaiqin Liu (ORCID: https://orcid.org/0000-0001-8383-0058)
- Longcong Chen (ORCID: https://orcid.org/0000-0001-6760-8748)
- Juan Jiang (ORCID: https://orcid.org/0000-0001-6377-4976)
- Yuan Li (ORCID: https://orcid.org/0000-0001-5212-3473)
Institutions
- 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)
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