Chest Wearable Apparatus for Cuffless Continuous Blood Pressure Measurements Based on PPG and PCG Signals

Marzorati, D.; Bovio, Dario; Salito, Caterina; Mainardi, Luca; Cerveri, Pietro

doi:10.1109/access.2020.2981300

Cited by 34 publications

(22 citation statements)

References 44 publications

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“…We compared the proposed IPG-based BP intelligent system with recent studies, as shown in Table 2. Several works relied on multiple physiological parameters to establish the BP model, such as the ECG and the pressure pulse waveform (PPW) [41], two PPG sensors [6], and a combination of the PPG and phonocardiogram (PCG) [42]. Despite the multiple physiological acquisition channels, the approach to providing satisfied BP performance using multi-sensor implementation could increase the complexity of the measurement procedure in practical applications.…”

Section: Comparisons With Previous Cuffless Bp Workmentioning

confidence: 99%

Intelligent Bio-Impedance System for Personalized Continuous Blood Pressure Measurement

et al. 2022

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Continuous blood pressure (BP) measurement is crucial for long-term cardiovascular monitoring, especially for prompt hypertension detection. However, most of the continuous BP measurements rely on the pulse transit time (PTT) from multiple-channel physiological acquisition systems that impede wearable applications. Recently, wearable and smart health electronics have become significant for next-generation personalized healthcare progress. This study proposes an intelligent single-channel bio-impedance system for personalized BP monitoring. Compared to the PTT-based methods, the proposed sensing configuration greatly reduces the hardware complexity, which is beneficial for wearable applications. Most of all, the proposed system can extract the significant BP features hidden from the measured bio-impedance signals by an ultra-lightweight AI algorithm, implemented to further establish a tailored BP model for personalized healthcare. In the human trial, the proposed system demonstrates the BP accuracy in terms of the mean error (ME) and the mean absolute error (MAE) within 1.7 ± 3.4 mmHg and 2.7 ± 2.6 mmHg, respectively, which agrees with the criteria of the Association for the Advancement of Medical Instrumentation (AAMI). In conclusion, this work presents a proof-of-concept for an AI-based single-channel bio-impedance BP system. The new wearable smart system is expected to accelerate the artificial intelligence of things (AIoT) technology for personalized BP healthcare in the future.

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Section: Comparisons With Previous Cuffless Bp Workmentioning

confidence: 99%

Intelligent Bio-Impedance System for Personalized Continuous Blood Pressure Measurement

et al. 2022

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“…Furthermore, the one-step calibration algorithm was applied in continuous BP monitoring that could reduce measurement procedure from laborious inflation and deflation of cuff sensor. Compared to PTT-based methods for cuffless BP estimation [2], [7], [17], this study relies on a single-channel physiological measurement without bulky system and measurement preparation. Most of all, the proposed device provided two significant cardiovascular monitoring functions (BP and HR) using a single sensor.…”

Section: A Innovation For Cardiovascular Neck Patchmentioning

confidence: 99%

“…The number of recruited subjects was comparable with most works to prove the concept for cardiovascular monitoring. Based on Table 1, most studies utilized PTT-based method for cuffless BP estimation [2], [7], [17], [18], [21]. Despite these technologies present the high reliable BP performance, the PTT-based method required at least two sensors that could make them unfeasible for wearable applications.…”

Section: Ccomparison With Previous Studiesmentioning

confidence: 99%

“…A piezoelectric sensor was placed above the radial artery of the wrist to measure the pressure pulse wave (PPW) and the beat-to-beat systolic BP (SBP) and diastolic BP (DBP) change were extracted by feature points in PPW. Davide Marzorati et al [2] developed a chest wearable apparatus for continuous BP measurement. The photoplethysmography (PPG) and phonocardiogram (PCG) sensors were implemented and installed on the chest belt.…”

Section: Introductionmentioning

confidence: 99%

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Single-Channel Impedance Plethysmography Neck Patch Device for Unobtrusive Wearable Cardiovascular Monitoring

et al. 2020

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Background: Wearable and unobtrusive sensing devices are rapidly evolving for long-term cardiovascular monitoring. However, most of the cardiovascular device requires multi-channel physiological signals acquisition, especially in continuous blood pressure (BP) measurement using pulse transition time (PTT) based methods. The multi-devices implementation could impede wearable applications. Objective: This study developed a wearable neck patch device using single-channel impedance plethysmography (IPG) sensing for cardiovascular monitoring, including continuous BP and heart rate (HR) measurement. Methods: IPG-based BP model was derived based on the Bramwell-Hill equation. A patch IPG device was designed and installed above the carotid artery of the subject neck. To validate the BP and HR functions of our device, the Bland-Altman plots were performed to evaluate the estimation error between the reference and the proposed devices within 20 healthy subjects. Results: The BP performance indicates that systolic BP (SBP) estimation error was-0.16 ± 2.97 mmHg and 2.43 ± 1.71 mmHg in terms of mean error (ME) and mean absolute error (MAE), and 0.09 ± 3.30 mmHg and 2.83 ± 1.68 mmHg for diastolic BP (DBP) estimation. Moreover, the HR accuracy has the ME and MAE of 0.02 ± 0.17 bpm and 0.14 ± 0.08 bpm; mean percentage error (MPE) and mean absolute percentage error (MAPE) obtained 0.04 ± 0.23 % and 0.19 ± 0.12 %. Based on statistical results, the BP and HR function of our device satisfied with AAMI/ANSI criteria below 5 ± 8 mmHg and ± 5 bpm or ± 10%. Conclusion: This study implemented a wearable neck patch device with singlechannel IPG acquisition that provided two significant cardiovascular parameters of continuous BP and HR, and its performance agreed with standard criteria based on validation with reference sensors. Significance: The proposed proof-of-concept IPG neck patch device has a high potential for wearable applications and lowcost manufacturing in cardiovascular monitoring.

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“…PTT was computed in [ 12 ] while reflective PTT, systolic period, and diastolic period were utilized in [ 13 ]. Chest PPG was measured in [ 14 , 15 ] and pulse arrival time (PAT) was acquired for the estimation. Compared to finger PPG, the morphological features of wrist PPG have not been addressed as much.…”

Section: Introductionmentioning

confidence: 99%

Coherence between Decomposed Components of Wrist and Finger PPG Signals by Imputing Missing Features and Resolving Ambiguous Features

Tsai

Huang

Guo

et al. 2021

Sensors

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Background: Feature extraction from photoplethysmography (PPG) signals is an essential step to analyze vascular and hemodynamic information. Different morphologies of PPG waveforms from different measurement sites appear. Various phenomena of missing or ambiguous features exist, which limit subsequent signal processing. Methods: The reasons that cause missing or ambiguous features of finger and wrist PPG pulses are analyzed based on the concept of component waves from pulse decomposition. Then, a systematic approach for missing-feature imputation and ambiguous-feature resolution is proposed. Results: From the experimental results, with the imputation and ambiguity resolution technique, features from 35,036 (98.7%) of 35,502 finger PPG cycles and 36307 (99.1%) of 36,652 wrist PPG cycles can be successfully identified. The extracted features became more stable and the standard deviations of their distributions were reduced. Furthermore, significant correlations up to 0.92 were shown between the finger and wrist PPG waveforms regarding the positions and widths of the third to fifth component waves. Conclusion: The proposed missing-feature imputation and ambiguous-feature resolution solve the problems encountered during PPG feature extraction and expand the feature availability for further processing. More intrinsic properties of finger and wrist PPG are revealed. The coherence between the finger and wrist PPG waveforms enhances the applicability of the wrist PPG.

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Chest Wearable Apparatus for Cuffless Continuous Blood Pressure Measurements Based on PPG and PCG Signals

Cited by 34 publications

References 44 publications

Intelligent Bio-Impedance System for Personalized Continuous Blood Pressure Measurement

Intelligent Bio-Impedance System for Personalized Continuous Blood Pressure Measurement

Single-Channel Impedance Plethysmography Neck Patch Device for Unobtrusive Wearable Cardiovascular Monitoring

Coherence between Decomposed Components of Wrist and Finger PPG Signals by Imputing Missing Features and Resolving Ambiguous Features

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