2018
DOI: 10.3390/mi9110556
|View full text |Cite
|
Sign up to set email alerts
|

Estimation of Blood Pressure in the Radial Artery Using Strain-Based Pulse Wave and Photoplethysmography Sensors

Abstract: Blood pressure (BP) is a crucial indicator of cardiac health and vascular status. This study explores the relationship between radial artery BP and wrist skin strain. A BP estimation method based on the physical model of wrist skin tissues and pulse wave velocity (PWV) is proposed. A photoplethysmography (PPG) sensor and strain gauge are used in this method. The developed strain-based pulse wave sensor consists of a pressing force sensor, which ensures consistent pressing force, and a strain gauge, which measu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
15
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 40 publications
(16 citation statements)
references
References 20 publications
(26 reference statements)
0
15
0
Order By: Relevance
“…Simjanoska et al [23] provided a machine learning model to estimate the blood pressure from ECG recording on 51 different subjects and obtained MAE ± SD for SBP and DBP were 7.72 ± 10.22 mmHg and 9.45 ± 10.03 mmHg. Wang et al [24] used PPW and PPG wave to calculate the PTT and established the blood pressure estimation model and resulted in an accuracy of 3.71 ± 3.06 mmHg for SBP and 5.44 ± 5.10 mmHg for DBP. Liu et al [25] used impedance plethysmography (IPG) technique to establish SBP model by linear regression and obtained the correlation coefficient of 0.7 with a cuff method.…”
Section: Accuracy Evaluation With Other Workmentioning
confidence: 99%
“…Simjanoska et al [23] provided a machine learning model to estimate the blood pressure from ECG recording on 51 different subjects and obtained MAE ± SD for SBP and DBP were 7.72 ± 10.22 mmHg and 9.45 ± 10.03 mmHg. Wang et al [24] used PPW and PPG wave to calculate the PTT and established the blood pressure estimation model and resulted in an accuracy of 3.71 ± 3.06 mmHg for SBP and 5.44 ± 5.10 mmHg for DBP. Liu et al [25] used impedance plethysmography (IPG) technique to establish SBP model by linear regression and obtained the correlation coefficient of 0.7 with a cuff method.…”
Section: Accuracy Evaluation With Other Workmentioning
confidence: 99%
“…During the past decade, strain sensors have been widely used to measure blood pressure, blood flow, and pulse waves [ 13 , 18 , 20 , 21 , 22 , 23 ]. Table 1 compares the relative merits and characteristics of each of these techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Table 1 compares the relative merits and characteristics of each of these techniques. Researchers place the strain sensors on the epidermis and measure the subtle deformations of the skin caused by cardiac output [ 20 , 21 ]. Resistive strain sensors have suitable characteristics, including a simple fabrication process, a high gauge factor, and an abundant material source for biocompatibility, for epidermal applications [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…In [9] a BP estimation method, based on the physical model of wrist skin tissues and pulse wave velocity is proposed. These features enable long-term BP monitoring without incurring the limb compression caused by a cuff.…”
Section: Introductionmentioning
confidence: 99%