Single-Channel Bioimpedance Measurement for Wearable Continuous Blood Pressure Monitoring

Wang, Ting-Wei; Chen, Wenxiang; Chu, Hsiao-Wei; Lin, Shien Fong

doi:10.1109/tim.2020.3035578

Cited by 36 publications

(31 citation statements)

References 36 publications

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“…The electrode placing arrangement was also important for IPG measurement. Some studies also investigated the optimized spacing of electrodes for IPG-based radial artery applications [ 22 , 40 ]. This study focused on the carotid artery to evaluate the influence of electrode arrangement (excitation and sensing electrode pairs) on IPG measurement resolution.…”

Section: Discussionmentioning

confidence: 99%

“…The longer spacing within the excitation electrodes could decrease the current uniformity in the arterial region. For the consideration of sensing electrode spacing, the IPG measurement resolution was improved by increasing the spacing of sensing electrodes due to larger voltage differences under the consistent current source [ 22 ]. As shown in Figure 8 b, the IPG measurement resolution was positively correlated to the spacing of sensing electrodes and a spacing of 1.7 cm obtained the maximum impedance difference of 2015 mΩ at testing sensing spacing from 0.2 cm to 1.7 cm.…”

Section: Discussionmentioning

confidence: 99%

“…Based on Table 2 , most studies [ 21 , 40 , 44 ] utilized the IPG-based wrist method to measure the IPG signals from the radial artery and investigated the influence of various measurement locations on impedance variation under the consistent excitation frequency and electrode area. Wang et al [ 22 ] evaluated the influence of electrode spacing and excitation frequency on impedance variation in the radial artery. However, the measurement optimization of IPG-based carotid artery sensing has not been extensively investigated.…”

Section: Discussionmentioning

confidence: 99%

“…The impedance plethysmography (IPG) technique utilized the principle of electrical impedance to depict the continuous bio-impedance waveform under small alternating current excitation [ 20 , 21 ]. Compared to PPG and pressure sensors, the IPG technique could address the light penetration issue of the PPG sensor and semi-occlusive measurement of the pressure sensor owing to the mechanism of the electrical impedance measurement [ 22 ]. Some studies utilized the IPG-based technique to apply in continuous BP measurement [ 22 , 23 ] and deep veins of the leg monitoring [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

“…Compared to PPG and pressure sensors, the IPG technique could address the light penetration issue of the PPG sensor and semi-occlusive measurement of the pressure sensor owing to the mechanism of the electrical impedance measurement [ 22 ]. Some studies utilized the IPG-based technique to apply in continuous BP measurement [ 22 , 23 ] and deep veins of the leg monitoring [ 24 ]. In our previous study [ 25 ], a single-channel IPG neck patch device was developed and installed on the subject’s neck above the carotid artery to perform cardiovascular monitoring, including the continuous BP and pulse rate.…”

Section: Introductionmentioning

confidence: 99%

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Bio-Impedance Measurement Optimization for High-Resolution Carotid Pulse Sensing

Wang

Chu

Chou

et al. 2021

Sensors

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Continuous hemodynamic monitoring is important for long-term cardiovascular healthcare, especially in hypertension. The impedance plethysmography (IPG) based carotid pulse sensing is a non-invasive diagnosis technique for measuring pulse signals and further evaluating the arterial conditions of the patient such as continuous blood pressure (BP) monitoring. To reach the high-resolution IPG-based carotid pulse detection for cardiovascular applications, this study provides an optimized measurement parameter in response to obvious pulsation from the carotid artery. The influence of the frequency of excitation current, electrode cross-sectional area, electrode arrangements, and physiological site of carotid arteries on IPG measurement resolution was thoroughly investigated for optimized parameters. In this study, the IPG system was implemented and installed on the subject’s neck above the carotid artery to evaluate the measurement parameters. The measurement results within 6 subjects obtained the arterial impedance variation of 2137 mΩ using the optimized measurement conditions, including excitation frequency of 50 kHz, a smaller area of 2 cm2, electrode spacing of 4 cm and 1.7 cm for excitation and sensing functions, and location on the left side of the neck. The significance of this study demonstrates an optimized measurement methodology of IPG-based carotid pulse sensing that greatly improves the measurement quality in cardiovascular monitoring.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Bio-Impedance Measurement Optimization for High-Resolution Carotid Pulse Sensing

Wang

Chu

Chou

et al. 2021

Sensors

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Add‐On Soft Electronic Interfaces for Continuous Cuffless Blood Pressure Monitoring

Namkoong,

Baskar,

Singh

et al. 2023

Adv Materials Technologies

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Continuous monitoring of arterial blood pressure is clinically important for diagnosing and managing cardiovascular diseases. Soft electronic devices with skin‐like properties show promise in various applications, including the human‐machine interface, the Internet of Things, and health monitoring. Herein, the use of add‐on soft electronic interfaces addresses the connection challenges between soft electrodes and rigid data acquisition circuitry for bioimpedance monitoring of cardiac signals, including heart rate and cuffless blood pressure is reported. Nanocomposite films in add‐on electrodes provide robust electrical and mechanical contact with the skin and the rigid circuitry. Bioimpedance sensors composed of add‐on electrodes offer continuous blood pressure monitoring with high accuracy. Specifically, the bioimpedance collected with add‐on nanocomposite electrodes shows a signal‐to‐noise ratio of 37.0 dB, higher than the ratio of 25.9 dB obtained with standard silver/silver chloride (Ag/AgCl) gel electrodes. Although the sample set is low, the continuously measured systolic and diastolic blood pressure offer accuracy of −2.0 ± 6.3 mmHg and −4.3 ± 3.9 mmHg, respectively, confirming the grade A performance based on the IEEE standard. These results show promise in bioimpedance measurements with add‐on soft electrodes for cuffless blood pressure monitoring.

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Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model

et al. 2021

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Conventional blood pressure (BP) measurement methods have different drawbacks such as being invasive, cuff-based or requiring manual operations. There is significant interest in the development of non-invasive, cuff-less and continual BP measurement based on physiological measurement. However, in these methods, extracting features from signals is challenging in the presence of noise or signal distortion. When using machine learning, errors in feature extraction result in errors in BP estimation, therefore, this study explores the use of raw signals as a direct input to a deep learning model. To enable comparison with the traditional machine learning models which use features from the photoplethysmogram and electrocardiogram, a hybrid deep learning model that utilises both raw signals and physical characteristics (age, height, weight and gender) is developed. This hybrid model performs best in terms of both diastolic BP (DBP) and systolic BP (SBP) with the mean absolute error being 3.23 ± 4.75 mmHg and 4.43 ± 6.09 mmHg respectively. DBP and SBP meet the Grade A and Grade B performance requirements of the British Hypertension Society respectively.

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Single-Channel Bioimpedance Measurement for Wearable Continuous Blood Pressure Monitoring

Cited by 36 publications

References 36 publications

Bio-Impedance Measurement Optimization for High-Resolution Carotid Pulse Sensing

Bio-Impedance Measurement Optimization for High-Resolution Carotid Pulse Sensing

Add‐On Soft Electronic Interfaces for Continuous Cuffless Blood Pressure Monitoring

Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model

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