Photoplethysmography Fast Upstroke Time Intervals Can Be Useful Features for Cuff-Less Measurement of Blood Pressure Changes in Humans

• Published in: IEEE transactions on biomedical engineering Vol. 69; no. 1; pp. 53 - 62
• Main Authors: Natarajan, Keerthana, Block, Robert C., Yavarimanesh, Mohammad, Chandrasekhar, Anand, Mestha, Lalit K., Inan, Omer T., Hahn, Jin-Oh, Mukkamala, Ramakrishna
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blood Pressure; Blood Pressure Determination; cuff-less blood pressure; Cutoff frequency; Demography; Ear; Electrocardiography; Feature extraction; Feet; Heart Rate; Humans; Intervals; machine learning; mobile physiological monitoring; Nitroglycerin; Photoplethysmography; photoplethysmography (PPG); Physiology; PPG waveform analysis; PPG waveform features; Predictions; Predictive models; pulse arrival time (PAT); Pulse duration; pulse transit time (PTT); Pulse Wave Analysis; Regression analysis; Signal analysis; Time lag; Waveforms; wearables
• ISSN: 0018-9294; 1558-2531; 1558-2531
• DOI: 10.1109/TBME.2021.3087105

Objective: Photoplethysmography (PPG) waveform analysis is being increasingly investigated for continuous, non-invasive, and cuff-less blood pressure (BP) measurement. However, the efficacy of this approach and the useful features and models remain largely unclear. The objectives were to develop easy-to-understand models relating PPG waveform features to BP changes (after a cuff calibration) and to determine their value in BP measurement accuracy. Methods: The study data comprised finger, toe, and ear PPG waveforms, an ECG waveform, and reference manual cuff BP measurements from 32 human subjects (25% hypertensive) before and after slow breathing, mental arithmetic, cold pressor, and nitroglycerin administration. Stepwise linear regression was employed to create parsimonious models for predicting the intervention-induced BP changes from popular PPG waveform features, pulse arrival time (PAT, time delay between ECG R-wave and PPG foot), and subject demographics. Leave-one-subject-out cross validation was applied to compare the BP change prediction root-mean-squared-errors (RMSEs) of the resulting models to reference models in which PPG waveform features were excluded. Results: Finger b-time (PPG foot to minimum second derivative time interval) and ear "STT" (PPG amplitude divided by maximum derivative), when combined with PAT, reduced the systolic BP change prediction RMSE of reference models by 6-7% (p<inline-formula><tex-math notation="LaTeX">\,<\, </tex-math></inline-formula>0.022). Ear STT together with pulse width reduced the diastolic BP change prediction RMSE of the reference model by 13% (p = 0.003). Conclusion: The two PPG fast upstroke time intervals can offer some added value in cuff-less BP trending. Significance: This study offers important information towards achieving non-invasive and passive BP monitoring without a cuff.