Pulse Transit Time-Pulse Wave Analysis Fusion Based on Wearable Wrist Ballistocardiogram for Cuff-Less Blood Pressure Trend Tracking
| Autor: | Peyman Yousefian, Kwon Ui-Kun, Dae-Geun Jang, Ali Tivay, Ramakrishna Mukkamala, Youn Ho Kim, Azin Mousavi, Jin-Oh Hahn, Chang-Sei Kim, Jong-wook Lee, Sungtae Shin, Byung Hoon Ko |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
Pulse Wave Analysis 0206 medical engineering Wearable computer 02 engineering and technology Wrist complex mixtures 03 medical and health sciences Ballistocardiogram pulse transit time Photoplethysmogram pulse wave analysis Medicine General Materials Science 030304 developmental biology 0303 health sciences Fusion Pulse (signal processing) business.industry photoplethysmogram General Engineering cuff-less blood pressure monitoring 020601 biomedical engineering Blood pressure medicine.anatomical_structure Cuff lcsh:Electrical engineering. Electronics. Nuclear engineering business wearable health lcsh:TK1-9971 Biomedical engineering |
| Zdroj: | IEEE Access, Vol 8, Pp 138077-138087 (2020) |
| ISSN: | 2169-3536 |
| Popis: | The objective of this study was to investigate the efficacy of pulse transit time (PTT)-pulse wave analysis (PWA) fusion in cuff-less blood pressure (BP) trend tracking based on the wearable wrist ballistocardiogram (BCG). We constructed PTT and 36 candidate BCG PWA features based on the BCG and photoplethysmogram (PPG) signals acquired at the wrist. We performed a model-based analysis to select 6 candidate BCG PWA features most sensitive to BP. We aggregated the 6 BCG PWA features into novel predictors of diastolic, systolic, and pulse BP (DP, SP, and PP) orthogonal to PTT by covariance-maximizing dimensionality reduction. Then, we evaluated and compared the efficacy of BCG PTT and BCG PTT-PWA fusion in tracking the trend of DP, SP, and PP. Unique innovations of this study, generalizable to a range of physiological signals beyond the BCG, are (i) the systematic selection of PWA features based on model-based analysis and (ii) the development of PWA-based BP predictors orthogonal to PTT. Using the experimental wrist BCG and PPG signals collected from 23 human subjects, we demonstrated that (i) BCG PTT-PWA fusion may significantly outperform BCG PTT; (ii) PTT may play the primary role in tracking BP while BCG PWA features may still have an independent and complementary value (especially in tracking PP); and (iii) model-based selection of BCG PWA features can enhance the robustness of BP trend tracking based on BCG PTT-PWA fusion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|