Dynamic Large Artery Stiffness Index for Cuffless Blood Pressure Estimation

Gupta, Shresth; Singh, Anurag; Sharma, Abhishek

doi:10.1109/lsens.2022.3157060

Cited by 19 publications

(5 citation statements)

References 11 publications

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“…Some were deployed in continuous BP measurement and showed improvement in both accuracy and stability ( Radha et al, 2019 ; El-Hajj and Kyriacou, 2021 ; Yen et al, 2021 ). Most of them used time-dependent information, such as the long- and short-term memory (LSTM) network ( Monte-Moreno, 2011 ; Radha et al, 2019 ; Harfiya et al, 2021 ; Li et al, 2021 ; Pu et al, 2021 ; Wang et al, 2021 ; Ali and Atef, 2022 ; Meng et al, 2022 ), system identification ( Allen and Murray, 1999 ), auto-regression ( Acciaroli, 2018 ), multi-stage feature extraction ( Ali and Atef, 2022 ; Jiang et al, 2022 ), dynamic compliance ( Gupta et al, 2022 ), or simple heart rate variability(HRV) ( Mejía-Mejía et al, 2022 ). These algorithms performed better than those without dynamic features ( Radha et al, 2019 ; Harfiya et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Temporal complexity in photoplethysmography and its influence on blood pressure

Xing,

Huang,

Hao

et al. 2023

Front. Physiol.

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Objective: The temporal complexity of photoplethysmography (PPG) provides valuable information about blood pressure (BP). In this study, we aim to interpret the stochastic PPG patterns with a model-based simulation, which may help optimize the BP estimation algorithms.Methods: The classic four-element Windkessel model is adapted in this study to incorporate BP-dependent compliance profiles. Simulations are performed to generate PPG responses to pulse and continuous stimuli at various timescales, aiming to mimic sudden or gradual hemodynamic changes observed in real-life scenarios. To quantify the temporal complexity of PPG, we utilize the Higuchi fractal dimension (HFD) and autocorrelation function (ACF). These measures provide insights into the intricate temporal patterns exhibited by PPG. To validate the simulation results, continuous recordings of BP, PPG, and stroke volume from 40 healthy subjects were used.Results: Pulse simulations showed that central vascular compliance variation during a cardiac cycle, peripheral resistance, and cardiac output (CO) collectively contributed to the time delay, amplitude overshoot, and phase shift of PPG responses. Continuous simulations showed that the PPG complexity could be generated by random stimuli, which were subsequently influenced by the autocorrelation patterns of the stimuli. Importantly, the relationship between complexity and hemodynamics as predicted by our model aligned well with the experimental analysis. HFD and ACF had significant contributions to BP, displaying stability even in the presence of high CO fluctuations. In contrast, morphological features exhibited reduced contribution in unstable hemodynamic conditions.Conclusion: Temporal complexity patterns are essential to single-site PPG-based BP estimation. Understanding the physiological implications of these patterns can aid in the development of algorithms with clear interpretability and optimal structures.

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Section: Introductionmentioning

confidence: 99%

Temporal complexity in photoplethysmography and its influence on blood pressure

Xing,

Huang,

Hao

et al. 2023

Front. Physiol.

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“…In 2020, Nath and Thapliyal 112 trained a DT regressor and reported that it did not perform as well as an AdaBoost version. In 2022, Gupta et al 113 investigated the prediction accuracy of RF and DT on the UCI and MIMIC I datasets and reported that RF outperformed other models. Farki et al 114 developed a clustering-based algorithm to elevate the performance of BP estimation using RF.…”

Section: Beat-to-beat Bp Estimation Modelsmentioning

confidence: 99%

Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

et al. 2023

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Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor blood pressure (BP), a vital sign closely related to CVDs, during people’s daily life, including sleep time. Towards this end, wearable and cuffless BP extraction methods have been extensively researched in recent years as part of the mobile healthcare initiative. This review focuses on the enabling technologies for wearable and cuffless BP monitoring platforms, covering both the emerging flexible sensor designs and BP extraction algorithms. Based on the signal type, the sensing devices are classified into electrical, optical, and mechanical sensors, and the state-of-the-art material choices, fabrication methods, and performances of each type of sensor are briefly reviewed. In the model part of the review, contemporary algorithmic BP estimation methods for beat-to-beat BP measurements and continuous BP waveform extraction are introduced. Mainstream approaches, such as pulse transit time-based analytical models and machine learning methods, are compared in terms of their input modalities, features, implementation algorithms, and performances. The review sheds light on the interdisciplinary research opportunities to combine the latest innovations in the sensor and signal processing research fields to achieve a new generation of cuffless BP measurement devices with improved wearability, reliability, and accuracy.

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“…Some were deployed in continuous BP measurement and showed improvement in both accuracy and stability (Radha et al, 2019;Yen et al, 2021). Most of them used time-dependent information, such as the long-and short-term memory (LSTM) network (Monte-Moreno, 2011;Radha et al, 2019;Harfiya et al, 2021;Li et al, 2021;Pu et al, 2021;Wang et al, 2021;Ali and Atef, 2022;Meng et al, 2022), system identification Murray, 1999), auto-regression (Acciaroli, 2018), multi-stage feature extraction (Ali and Atef, 2022;Jiang et al, 2022), dynamic compliance (Gupta et al, 2022), or simple heart rate variability(HRV) . These algorithms performed better than those without dynamic features (Radha et al, 2019;Harfiya et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Advances in Basic and Applied Research in Photoplethysmography

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Dynamic Large Artery Stiffness Index for Cuffless Blood Pressure Estimation

Cited by 19 publications

References 11 publications

Temporal complexity in photoplethysmography and its influence on blood pressure

Temporal complexity in photoplethysmography and its influence on blood pressure

Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

Advances in Basic and Applied Research in Photoplethysmography

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