ECG PQRST complex detector and heart rate variability analysis using temporal characteristics of fiducial points

Bae, Tae Wuk; Kwon, Kee-Koo

doi:10.1016/j.bspc.2020.102291

Cited by 22 publications

(16 citation statements)

References 45 publications

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“…The characteristic P, Q, R, S, and T peaks are almost identical to these two types of electrodes, with the P wave, QRS complex, and T wave corresponding to the activation of the atria, activation and depolarization of the ventricles, and repolarization of the ventricles, respectively. [ 73 ] Although the bGaIn‐HRHP electrodes (3.5 cm 2 ) have a much smaller contact area than the Ag/AgCl electrodes (21.2 cm 2 ), the signal‐to‐noise ratio (SNR) defined as

{\rm{SNR}}\ ({\rm{dB}}) = 20{\rm{log}}\frac{{{V_{{\rm{rmsl}}}}}}{{{V_{{\rm{rmsn}}}}}}

(with V rmsl and V rmsn representing the root mean square value of the ECG signals without and with noise) [ 74 ] of 45.27 dB is still higher than that of Ag/AgCl electrodes (30.82 dB).…”

Section: Resultsmentioning

confidence: 99%

“…The characteristic P, Q, R, S, and T peaks are almost identical to these two types of electrodes, with the P wave, QRS complex, and T wave corresponding to the activation of the atria, activation and depolarization of the ventricles, and repolarization of the ventricles, respectively. [73] Although the bGaIn-HRHP electrodes (3.5 cm 2 ) have a much smaller contact area than the Ag/AgCl electrodes (21.2 cm 2 ), the signal-to-noise ratio (SNR) defined as…”

Section: Multifunctional Sensing System For Human Health Monitoringmentioning

confidence: 99%

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Self‐Healing, Reconfigurable, Thermal‐Switching, Transformative Electronics for Health Monitoring

Yang

Wang

et al. 2023

Advanced Materials

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Soft, deformable electronic devices provide the means to monitor physiological information and health conditions for disease diagnostics. However, their practical utility is limited due to the lack of intrinsical thermal switching for mechanically transformative adaptability and self‐healing capability against mechanical damages. Here, the design concepts, materials and physics, manufacturing approaches, and application opportunities of self‐healing, reconfigurable, thermal‐switching device platforms based on hyperbranched polymers and biphasic liquid metal are reported. The former provides excellent self‐healing performance and unique tunable stiffness and adhesion regulated by temperature for the on‐skin switch, whereas the latter results in liquid metal circuits with extreme stretchability (>900%) and high conductivity (3.40 × 104 S cm−1), as well as simple recycling capability. Triggered by the increased temperature from the skin surface, a multifunctional device platform can conveniently conform and strongly adhere to the hierarchically textured skin surface for non‐invasive, continuous, comfortable health monitoring. Additionally, the self‐healing and adhesive characteristics allow multiple multifunctional circuit components to assemble and completely wrap on 3D curvilinear surfaces. Together, the design, manufacturing, and proof‐of‐concept demonstration of the self‐healing, transformative, and self‐assembled electronics open up new opportunities for robust soft deformable devices, smart robotics, prosthetics, and Internet‐of‐Things, and human–machine interfaces on irregular surfaces.

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{\rm{SNR}}\ ({\rm{dB}}) = 20{\rm{log}}\frac{{{V_{{\rm{rmsl}}}}}}{{{V_{{\rm{rmsn}}}}}}

(with V rmsl and V rmsn representing the root mean square value of the ECG signals without and with noise) [ 74 ] of 45.27 dB is still higher than that of Ag/AgCl electrodes (30.82 dB).…”

Section: Resultsmentioning

confidence: 99%

“…The characteristic P, Q, R, S, and T peaks are almost identical to these two types of electrodes, with the P wave, QRS complex, and T wave corresponding to the activation of the atria, activation and depolarization of the ventricles, and repolarization of the ventricles, respectively. [73] Although the bGaIn-HRHP electrodes (3.5 cm 2 ) have a much smaller contact area than the Ag/AgCl electrodes (21.2 cm 2 ), the signal-to-noise ratio (SNR) defined as…”

Section: Multifunctional Sensing System For Human Health Monitoringmentioning

confidence: 99%

Self‐Healing, Reconfigurable, Thermal‐Switching, Transformative Electronics for Health Monitoring

Yang

Wang

et al. 2023

Advanced Materials

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“…The sensitivity of this approach to HF noise and subjective selection of the PVC starting time instant can be explored in future work. Next, the use of automatic detection of depolarization beginning such as [25] can be examined in the future to speed up and automate the signal processing procedure.…”

Section: Discussionmentioning

confidence: 99%

The Importance of ECG Offset Correction for Premature Ventricular Contraction Origin Localization from Clinical Data

Svehlikova

Přibilová

Zelinka

et al. 2022

Measurement Science Review

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In this study, the inverse solution with a single dipole was computed to localize the premature ventricular contraction (PVC) origin from long term multiple leads ECG measurements on fourteen patients. The stability of the obtained results was studied with respect to the preprocessing of signals used as an input to the inverse solution and the complexity of the torso model. Two methods were used for the baseline drift removal. After an averaging of the heartbeats, the influence of the retention or elimination of the remaining offset at the beginning of the PVC signal was examined. The inverse computations were performed using both homogeneous and inhomogeneous patient-specific torso models. It was shown that the remaining offset in the averaged signals at the beginning of the PVC signal had the most significant impact on the stability of the resulting position within the ventricles. Its elimination stabilizes the location of the results, decreases the sensitivity to the torso model complexity and decreases the sensitivity to the primary baseline drift removal method. The additional offset correction decreased the mean distance between the results for all patients from 17-18 mm to 1-2 mm, regardless of the baseline drift removal method or the torso model complexity.

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“…Figure 11 shows the HRV results at the time of hypotension in five hemodialysis patients using the HRV analysis method introduced in [ 43 , 44 ]. Among the HRV parameters, HR per minute (beats per minute (BPM)), RR interval trend, RR histogram, power spectrum, and Poincaré plot were used.…”

Section: Discussionmentioning

confidence: 99%

Multilayer Perceptron-Based Real-Time Intradialytic Hypotension Prediction Using Patient Baseline Information and Heart-Rate Variation

Bae

Kim

Park

et al. 2022

IJERPH

Self Cite

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Intradialytic hypotension (IDH) is a common side effect that occurs during hemodialysis and poses a great risk for dialysis patients. Many studies have been conducted so far to predict IDH, but most of these could not be applied in real-time because they used only underlying patient information or static patient disease information. In this study, we propose a multilayer perceptron (MP)-based IDH prediction model using heart rate (HR) information corresponding to time-series information and static data of patients. This study aimed to validate whether HR differences and HR slope information affect real-time IDH prediction in patients undergoing hemodialysis. Clinical data were collected from 80 hemodialysis patients from 9 September to 17 October 2020, in the artificial kidney room at Yeungnam University Medical Center (YUMC), Daegu, South Korea. The patients typically underwent hemodialysis 12 times during this period, 1 to 2 h per session. Therefore, the HR difference and HR slope information within up to 1 h before IDH occurrence were used as time-series input data for the MP model. Among the MP models using the number and data length of different hidden layers, the model using 60 min of data before the occurrence of two layers and IDH showed maximum performance, with an accuracy of 81.5%, a true positive rate of 73.8%, and positive predictive value of 87.3%. This study aimed to predict IDH in real-time by continuously supplying HR information to MP models along with static data such as age, diabetes, hypertension, and ultrafiltration. The current MP model was implemented using relatively limited parameters; however, its performance may be further improved by adding additional parameters in the future, further enabling real-time IDH prediction to play a supporting role for medical staff.

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ECG PQRST complex detector and heart rate variability analysis using temporal characteristics of fiducial points

Cited by 22 publications

References 45 publications

Self‐Healing, Reconfigurable, Thermal‐Switching, Transformative Electronics for Health Monitoring

Self‐Healing, Reconfigurable, Thermal‐Switching, Transformative Electronics for Health Monitoring

The Importance of ECG Offset Correction for Premature Ventricular Contraction Origin Localization from Clinical Data

Multilayer Perceptron-Based Real-Time Intradialytic Hypotension Prediction Using Patient Baseline Information and Heart-Rate Variation

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