Literature DB >> 30089101

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

Yang Chen1, Shuo Shi, Ying-Ke Liu, Shou-Lin Huang, Ting Ma.   

Abstract

OBJECTIVE: Cuffless blood-pressure (BP) estimation has attracted widespread interest owing to its potential for long-term, non-invasive BP monitoring. But it is still impractical in clinical settings, mainly owing to ongoing challenges with respect to accuracy in hypertensive patients. To better estimate the BP, the current study proposes a new cuffless estimation method that includes a sympathetic tone, which has been reported with a varied pattern in hypertensive patients. APPROACH: First, the heart-rate variability of all subjects is investigated, and a new parameter, the heart-rate power spectrum ratio (HPSR), is proposed to indicate BP dynamics under sympathetic regulation. Then, a new BP estimation model is constructed by integrating HPSP with the pulse transit time (PTT) and photoplethysmography intensity ratio. The estimation accuracy is further evaluated by making comparisons with the standard sphygmomanometer BP on 60 subjects (29 hypertensive and 31 normotensive). MAIN
RESULTS: A significant increase in HPSR was observed in hypertensive patients compared to normotensive subjects. Of the 60 subjects, the estimation accuracy was 0.73  ±  10.04 mmHg for systolic BP (SBP) and 0.90  ±  7.10 mmHg for diastolic BP (DBP) in hypertensive patients, which is comparable to 0.54  ±  7.52 mmHg for SBP and 0.82  ±  6.20 mmHg for DBP in normotensive subjects. Furthermore, the proposed method overperformed the traditional PTT-based algorithm by reducing the 3 mmHg error in the standard deviation in hypertensive patients. SIGNIFICANCE: The results of the current study demonstrate that the inclusion of factors associated with autonomic activities in the BP estimation model would improve the BP estimation accuracy, especially for hypertensive subjects.

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Mesh:

Year:  2018        PMID: 30089101     DOI: 10.1088/1361-6579/aad902

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  4 in total

1.  Development of hemorrhage identification model using non-invasive vital signs.

Authors:  Yang Chen; Joo Heung Yoon; Michael R Pinsky; Ting Ma; Gilles Clermont
Journal:  Physiol Meas       Date:  2020-06-10       Impact factor: 2.833

2.  Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias.

Authors:  ZengDing Liu; Bin Zhou; Ye Li; Min Tang; Fen Miao
Journal:  Front Physiol       Date:  2020-09-09       Impact factor: 4.566

Review 3.  Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension.

Authors:  Kaylie Welykholowa; Manish Hosanee; Gabriel Chan; Rachel Cooper; Panayiotis A Kyriacou; Dingchang Zheng; John Allen; Derek Abbott; Carlo Menon; Nigel H Lovell; Newton Howard; Wee-Shian Chan; Kenneth Lim; Richard Fletcher; Rabab Ward; Mohamed Elgendi
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.241

4.  Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?

Authors:  Koshiro Kido; Zheng Chen; Ming Huang; Toshiyo Tamura; Wei Chen; Naoaki Ono; Masachika Takeuchi; Md Altaf-Ul-Amin; Shigehiko Kanaya
Journal:  Life (Basel)       Date:  2021-12-22
  4 in total

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