Cuffless blood-pressure estimation method using a heart-rate variability-derived parameter

Chen, Yang; Shi, Shuo; Liu, Yingke; Huang, Shoulin; Ma, Ting

doi:10.1088/1361-6579/aad902

Cited by 14 publications

(13 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…M1 is the modality with the most data points and the strongest r. M1 is also the only category to include studies with sample sizes over 30, making the correlations stronger than those of studies with small sample sizes. Across most modalities, SBP estimations have consistently higher correlations with real SBP than DBP estimations do with real DBP [17,21,23,25,27,40,43,44,51,52,55,60,61,65,81,82]. Three studies from M2 [15], M1 [59], and M1 [67] showed the opposite trend and two studies from M1 [31] and M4 [20] reported the same r for both SBP and DBP.…”

Section: Global Distribution and Combinations Of Biosignals Used In Lmentioning

confidence: 89%

“…For example, Wang et al [38] showed a significant correlation between HR and BP and demonstrated that the addition of both HR and previous BP measurements to the PTT-BP estimation significantly improved the error (p < 0.05). Other measurements such as PIR have been incorporated into the PTT-BP estimation [16,51,67,69,71,78,82] as it reflects the low-frequency component of arterial diameter changes, which are not normally picked up by conventional PTT measurements. Here, PIR is measured as the ratio of minimum to maximum amplitudes of a PPG waveform in one cardiac cycle.…”

Section: Accuracy Of Proposed Methodsmentioning

confidence: 99%

“…Ding et al [69] proved that the addition of PIR improved BP estimation, decreased error, and maintained accuracy over extended (24 h) calibration periods; however, other studies incorporating PIR struggled to obtain acceptable SD values. Recently, the heart-rate power spectrum ratio (HPSR), a new parameter, has been added to PTT-PIR estimation to more accurately identify the increase in sympathetic activity in hypertensive patients [82]. Alterations in sympathetic tone, adrenergic overflow, and parasympathetic tone contribute to changes in the factors that regulate BP and decrease the accuracy of PPT-BP estimation in this population.…”

Section: Accuracy Of Proposed Methodsmentioning

confidence: 99%

“…Alterations in sympathetic tone, adrenergic overflow, and parasympathetic tone contribute to changes in the factors that regulate BP and decrease the accuracy of PPT-BP estimation in this population. Chen et al [82] concluded that the addition of HPSR resulted in superior estimation error, especially in the hypertensive population; however, the standard deviation was still higher than the acceptable standard set by the AAMI. It can be concluded that more work is needed surrounding decreasing error and standard deviation values before many of these proposed technologies meet the appropriate validation standards to be used clinically.…”

Section: Accuracy Of Proposed Methodsmentioning

confidence: 99%

“…Of the 73 included studies, 22 reported the correlation (r) between estimated and reference BP for both SBP and DBP [15,17,20,21,23,25,27,29,31,40,43,44,51,52,55,[59][60][61]65,67,81,82]. Further, 15 studies reported the measurement variance in estimated versus reference BP for both SBP and DBP through mean error and standard deviation [21,22,33,34,38,51,59,60,64,67,69,72,78,82,83]. Various different biosignal combinations of ECG, BCG, SCG, ICG, IPG, and SBS were combined with PPG for BP estimation.…”

Section: Global Distribution and Combinations Of Biosignals Used In Lmentioning

confidence: 99%

See 4 more Smart Citations

Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension

Welykholowa

Hosanee

Chan

et al. 2020

JCM

View full text Add to dashboard Cite

Elevated blood pressure (BP) is a major cause of death, yet hypertension commonly goes undetected. Owing to its nature, it is typically asymptomatic until later in its progression when the vessel or organ structure has already been compromised. Therefore, noninvasive and continuous BP measurement methods are needed to ensure appropriate diagnosis and early management before hypertension leads to irreversible complications. Photoplethysmography (PPG) is a noninvasive technology with waveform morphologies similar to that of arterial BP waveforms, therefore attracting interest regarding its usability in BP estimation. In recent years, wearable devices incorporating PPG sensors have been proposed to improve the early diagnosis and management of hypertension. Additionally, the need for improved accuracy and convenience has led to the development of devices that incorporate multiple different biosignals with PPG. Through the addition of modalities such as an electrocardiogram, a final measure of the pulse wave velocity is derived, which has been proved to be inversely correlated to BP and to yield accurate estimations. This paper reviews and summarizes recent studies within the period 2010–2019 that combined PPG with other biosignals and offers perspectives on the strengths and weaknesses of current developments to guide future advancements in BP measurement. Our literature review reveals promising measurement accuracies and we comment on the effective combinations of modalities and success of this technology.

show abstract