Textile Electrode-structure Effects and Motion Artifact Minimization in Heart Activity Signal Acquisition

2021 ◽  
Vol 10 (3) ◽  
pp. 280-289
Author(s):  
Hyunseung Cho ◽  
Jinhee Yang ◽  
Jeongwhan Lee ◽  
Joohyeon Lee
Keyword(s):  
Motion Artifact ◽  
Signal Acquisition ◽  
Heart Activity ◽  
Electrode Structure ◽  
Textile Electrode

Effect of the Configuration of Contact Type Textile Electrode on the Performance of Heart Activity Signal Acquisition for Smart Healthcare

2018 ◽  
Vol 21 (4) ◽  
pp. 63-76 ◽  
Author(s):  
Hyun-Seung Cho ◽  
Hye-Ran Koo ◽  
Jin-Hee Yang ◽  
Kang-Hwi Lee ◽  
Sang-Min Kim ◽  
...  
Keyword(s):  
Signal Acquisition ◽  
Heart Activity ◽  
Contact Type ◽  
Smart Healthcare ◽  
Textile Electrode

scholarly journals Development of a Wearable Reflection-Type Pulse Oximeter System to Acquire Clean PPG Signals and Measure Pulse Rate and SpO2 with and without Finger Motion

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1905
Author(s):  
Partha Pratim Banik ◽  
Shifat Hossain ◽  
Tae-Ho Kwon ◽  
Hyoungkeun Kim ◽  
Ki-Doo Kim
Keyword(s):  
Pulse Rate ◽  
Pulse Oximeter ◽  
Electronic Circuit ◽  
Absolute Error ◽  
Motion Artifact ◽  
Motion Artifacts ◽  
Percentage Error ◽  
Signal Acquisition ◽  
Analog Filter ◽  
Finger Motion

Clinical devices play a vital role in diagnosing and monitoring people’s health. A pulse oximeter (PO) is one of the most common clinical devices for critical medical care. In this paper, we explain how we developed a wearable PO. We propose a new electronic circuit based on an analog filter that can separate red and green photoplethysmography (PPG) signals, acquire clean PPG signals, and estimate the pulse rate (PR) and peripheral capillary oxygen saturation (SpO2). We propose a PR and SpO2 measurement algorithm with and without the motion artifact. We consider three types of motion artifacts with our acquired clean PPG signal from our proposed electronic circuit. To evaluate our proposed algorithm, we measured the accuracy of our estimated SpO2 and PR. To evaluate the quality of our estimated PR (bpm) and SpO2 (%) with and without the finger motion artifact, we used the quality evaluation metrics: mean absolute percentage error (MAPE), mean absolute error (MAE), and reference closeness factor (RCF). Without the finger motion condition, we found that our proposed wearable PO device achieved an average 2.81% MAPE, 2.08 bpm MAE, 0.97 RCF, and 98.96% SpO2 accuracy. With a finger motion, the proposed wearable PO device achieved an average 4.5% MAPE, 3.66 bpm MAE, 0.96 RCF, and 96.88% SpO2 accuracy. We also show a comparison of our proposed PO device with a commercial Fingertip PO (FPO) device. We have found that our proposed PO device performs better than the commercial FPO device under finger motion conditions. To demonstrate the implementation of our wearable PO, we developed a smartphone app to allow the PO device to share PPG signals, PR, and SpO2 through Bluetooth communication. We also show the possible applications of our proposed PO as a wearable, hand-held PO device, and a PPG signal acquisition system.

Design of a New Long-Time Continuous Photoplethysmography Signal Acquisition System to Obtain Accurate Measurement of Heart Rate

2020 ◽  
Author(s):  
Rajeev Kumar Pandey ◽  
Jerry Lin ◽  
Paul C.-P. Chao
Keyword(s):  
Heart Rate ◽  
Signal To Noise Ratio ◽  
Moving Average ◽  
Motion Artifact ◽  
Acquisition System ◽  
Experimental Result ◽  
Signal Acquisition ◽  
Readout System ◽  
Long Time ◽  
Filter Signal

Abstract This study presents a time-interleave and low DC drift long-time continuous photoplethysmography (PPG) signal acquisition system to obtain accurate measurement of heart rate (HR) in real-time. Time-interleave functionality is used herein to minimize the mispositioning issue. Intensity tuning and transimpedance amplifier gain tuning is used herein to acquire a high-quality PPG signal. The front-end analog readout circuit is designed and implemented by using T18 process. The experimental result shows that the design readout system has the DC settling time of 1 second after the motion artifact. The measured current sensing range is 30nA–10uA. The estimated signal to noise ratio is 68dB@1Hz. The backend pre-signal processing incorporates a new convolution-based moving average filter, signal quality index estimator, and a peak-through detector. The non-invasive PPG sensor is applied to the wrist artery of the 40 healthy subjects for sensing the pulsation of the blood vessel. During the measurement, the subject did not drink (alcohol), eat, smoke or workout. The Measurement results shows that the heart rate accuracy and standard error are 95%, and 0.37±1.96bpm, respectively.

Application of Biomedical Signal Acquisition Equipment in Human Sport Heart Rate Monitoring

2020 ◽  
Vol 10 (4) ◽  
pp. 877-883
Author(s):  
Le He
Keyword(s):  
Heart Rate ◽  
Motion Artifact ◽  
Human Motion ◽  
Signal Quality ◽  
Signal Acquisition ◽  
Heart Rate Monitoring ◽  
Artifact Removal ◽  
Biomedical Signal ◽  
Baseline Drift ◽  
Sensor Signals

Aiming at exploring biomedical signal acquisition equipment used in human motion heart rate monitoring, the research on the related hardware design and signal processing method was carried out. A biomedical signal acquisition device based on photoplethysmography (PPG) is designed, and the equipment was applied to acquire PPG signals and acceleration sensor signals under different motion states. The analysis of the experimental data showed that, the fusion method of the acceleration sensing information in the motion artifact removal method is perfected. The effectiveness of the baseline drift removal algorithm, motion artifact removal algorithm and dynamic heart rate monitoring algorithm was verified by reconstructing the signal quality evaluation index. To sum up, taking MINDRAY VS-800 as a reference device, it is compared with the adaptive filtering technology in terms of signal quality, BPM detection results and algorithm complexity, and better results are finally obtained.

scholarly journals A non-invasive multimodal foetal ECG–Doppler dataset for antenatal cardiology research

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Eleonora Sulas ◽  
Monica Urru ◽  
Roberto Tumbarello ◽  
Luigi Raffo ◽  
Reza Sameni ◽  
...  
Keyword(s):  
Ground Truth ◽  
Signal Acquisition ◽  
Heart Activity ◽  
Non Invasive ◽  
Electrophysiological Recordings ◽  
Pulsed Wave Doppler ◽  
Signal Processing Algorithms ◽  
Respiration Signal ◽  
Processing Algorithms ◽  
Foetal Ecg

AbstractNon-invasive foetal electrocardiography (fECG) continues to be an open topic for research. The development of standard algorithms for the extraction of the fECG from the maternal electrophysiological interference is limited by the lack of publicly available reference datasets that could be used to benchmark different algorithms while providing a ground truth for foetal heart activity when an invasive scalp lead is unavailable. In this work, we present the Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research (NInFEA), the first open-access multimodal early-pregnancy dataset in the field that features simultaneous non-invasive electrophysiological recordings and foetal pulsed-wave Doppler (PWD). The dataset is mainly conceived for researchers working on fECG signal processing algorithms. The dataset includes 60 entries from 39 pregnant women, between the 21st and 27th week of gestation. Each dataset entry comprises 27 electrophysiological channels (2048 Hz, 22 bits), a maternal respiration signal, synchronised foetal trans-abdominal PWD and clinical annotations provided by expert clinicians during signal acquisition. MATLAB snippets for data processing are also provided.

scholarly journals Peak Space Motion Artifact Cancellation Applied to Textile Electrode Waist Electrocardiograms Recording During Outdoors Walking and Jogging

2022 ◽  
Author(s):  
Bruce R Hopenfeld
Keyword(s):  
Real World ◽  
Single Channel ◽  
Ground Truth ◽  
Motion Artifact ◽  
Heart Beat ◽  
Pattern Search ◽  
Motion Artifacts ◽  
Qrs Detection ◽  
Detection Scheme ◽  
Textile Electrode

Background: Obtaining reliable rate heart estimates from waist based electrocardiograms (ECGs) poses a very challenging problem due to the presence of extreme motion artifacts. The literature reveals few, if any, attempts to apply motion artifact cancellation methods to waist based ECGs. This paper describes a new methodology for ameliorating the effects of motion artifacts in ECGs by specifically targeting ECG peaks for elimination that are determined to be correlated with accelerometer peaks. This peak space cancellation was applied to real world waist based ECGs. Algorithm Summary: The methodology includes successive applications of a previously described pattern-based heart beat detection scheme (Temporal Pattern Search, or TEPS) that can also detect patterns in other types of peak sequences. In the first application, TEPS is applied to accelerometer signals recorded contemporaneously with ECG signals to identify high-quality accelerometer peak sequences (SA) indicative of quasi-periodic motion likely to impair identification of peaks in a corresponding ECG signal. The process then performs ECG peak detection and locates the closest in time ECG peak to each peak in an SA. The differences in time between ECG and SA peaks are clustered. If the number of elements in a cluster of peaks in an SA exceeds a threshold, the ECG peaks in that cluster are removed from further processing. After this peak removal process, further QRS detection proceeds according to TEPS. Experiment: The above procedure was applied to data from real world experiments involving four sessions of walking and jogging on a dirt road for approximately 20-25 minutes. A compression shirt with textile electrodes served as the ground truth recording. A textile electrode based chest strap was worn around the waist to generate a single channel signal upon which to test peak space cancellation/TEPS. Results: Both walking and jogging heart rates were generally well tracked. In the four recordings, the percentage of 5 second segments within 10 beats/minute of reference was 96%, 99%, 92% and 96%. The percentage of segments within 5 beats/minute of reference was 86%, 90%, 82% and 78%. There was very good agreement between the RR intervals associated with the reference and waist recordings. For acceptable quality segments, the root mean square sum of successive RR interval differences (RMSSD) was calculated for both the reference and waist recordings. Next, the difference between waist and reference RMSSDs was calculated (∆RMSSD). The mean ∆RMSSD (over acceptable segments) was 4.6 m, 5.2 ms, 5.2 ms and 6.6 ms for the four recordings. Conclusion: Given that only one waist ECG channel was available, and that the strap used for the waist recording was not tailored for that purpose, the proposed methodology shows promise for waist based sinus rhythm QRS detection.

A two degrees of freedom comb capacitive-type accelerometer with low cross-axis sensitivity

2019 ◽  
Vol 13 (3) ◽  
pp. 5334-5346
Author(s):  
M. N. Nguyen ◽  
L. Q. Nguyen ◽  
H. M. Chu ◽  
H. N. Vu
Keyword(s):  
Degrees Of Freedom ◽  
Proof Mass ◽  
Vibration Modes ◽  
Electrode Structure ◽  
Element Analysis ◽  
Mechanical Coupling ◽  
Fully Differential ◽  
Mode Effects ◽  
The Finite Element Analysis ◽  
Cross Axis

In this paper, we report on a SOI-based comb capacitive-type accelerometer that senses acceleration in two lateral directions. The structure of the accelerometer was designed using a proof mass connected by four folded-beam springs, which are compliant to inertial displacement causing by attached acceleration in the two lateral directions. At the same time, the folded-beam springs enabled to suppress cross-talk causing by mechanical coupling from parasitic vibration modes. The differential capacitor sense structure was employed to eliminate common mode effects. The design of gap between comb fingers was also analyzed to find an optimally sensing comb electrode structure. The design of the accelerometer was carried out using the finite element analysis. The fabrication of the device was based on SOI-micromachining. The characteristics of the accelerometer have been investigated by a fully differential capacitive bridge interface using a sub-fF switched-capacitor integrator circuit. The sensitivities of the accelerometer in the two lateral directions were determined to be 6 and 5.5 fF/g, respectively. The cross-axis sensitivities of the accelerometer were less than 5%, which shows that the accelerometer can be used for measuring precisely acceleration in the two lateral directions. The accelerometer operates linearly in the range of investigated acceleration from 0 to 4g. The proposed accelerometer is expected for low-g applications.

Numerical Investigation of the Correlation between Electrode Structure and Number of Captured Particles in a Dielectrophoretic Device

2014 ◽  
Vol 134 (7) ◽  
pp. 235-240
Author(s):  
Ryoto Aoki ◽  
Naoki Shirai ◽  
Satoshi Uchida ◽  
Fumiyoshi Tochikubo
Keyword(s):  
Numerical Investigation ◽  
Electrode Structure
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