Key result
PPG-based continuous BP estimation yields ~8 mmHg mean resting systolic error but worsens during exercise.
Why the study?
Direct blood pressure measurements require cuff compression that is time-consuming and inconvenient, posing a challenge for continuous monitoring during exercise.
Does a PPG-based Reflective Pulse Transit Time algorithm accurately estimate continuous blood pressure during rest and exercise?
Observational (n=18)
Does a PPG-based Reflective Pulse Transit Time algorithm accurately estimate continuous blood pressure during rest and exercise?
PPG-based R-PTT algorithms show competitive accuracy for cuff-less blood pressure monitoring at rest, but performance degrades during physical activity, highlighting the need for further refinement.
Supports PPG-based cuffless BP at rest; leaves open accuracy during exercise pending validation.
Direct blood pressure (BP) measurements require cuff compression, which not only is time-consuming but also inconvenient for frequent monitoring. This study addresses the challenge of continuous BP estimation (both Systolic (SBP) and Diastolic (DBP)) during exercise in a cuff-less manner, utilizing photoplethysmography (PPG) signals acquired by low-cost wear-ables. Leveraging Reflective Pulse-wave Transit Time (R-PTT), state-of-the-art algorithms were put to the test in two datasets (total subjects = 18). DATASET1 contains PPG signal and BP measurements of subjects in resting state, while DATASET2 comprises data of subjects in resting state and during exercise. The results reveal competitive performance, with Mean Absolute Error (MAE) of the estimation algorithm for DATASET1 being SBP=7.9 mmHg and DBP=5.2 mmHg and SBP=14.4 mmHg and DBP=7.7 mmHg for DATASET2. DATASET1 consistently outperforms DATASET2, affirming the algorithm’s efficacy during resting states and that estimation during physical activity introduces challenges, requiring further refinement and research for real-world applications. In conclusion, this research unveils a viable solution for continuous cuff-less BP monitoring, while emphasizing the need for refinement and validation to enhance its clinical applicability and accessibility.
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Aslani et al. (2024) reported an observational. PPG-based continuous blood pressure estimation using Reflective Pulse Transit Time (R-PTT) vs. Resting state was evaluated on Mean Absolute Error (MAE) of Systolic and Diastolic Blood Pressure estimation. PPG-based continuous blood pressure estimation using R-PTT achieved a Mean Absolute Error for systolic/diastolic BP of 7.9/5.2 mmHg at rest and 14.4/7.7 mmHg during exercise.
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