Screening of cardiac disease based on integrated modeling of heart rate variability

Chen, Shanen; Chen, Lili; Zhang, Xi; Zhixian, Yang

doi:10.1016/j.bspc.2020.102147

Cited by 4 publications

(4 citation statements)

References 48 publications

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“…Extraction and construction of trackable variables coming from complex data structures, such as a biosignal (e.g., ECG or EEG), applying PCA, independent component analysis (ICA), or wavelet transformation combined with NN or SVM methods [22], [33], [34], [48].…”

Section: A Advantages Of Using Data-driven Methods Combined With a Co...mentioning

confidence: 99%

“…These residuals are then accumulated using a univariate memory-based control chart (e.g., EWMA, CUSUM, and a variation of the GLR chart with exponential weights). In the second group of papers, the deviation from the baseline (i.e., a distance) is calculated and monitored using either a k chart [48] or a variation of the Double-EWMA (DEWMA) chart using the sum-square approach in the charting statistic equation [49].…”

Section: A Patient Monitoringmentioning

confidence: 99%

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A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes

2023

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In recent years, the adoption of statistical process monitoring (SPM) techniques in healthcare has been successful. For instance, biosurveillance and biosignal monitoring have demonstrated direct benefits. As the latest reviews of the literature show, parametric SPM techniques have been implemented to evaluate the quality-of-service hospitals provide, track medical equipment, monitor safety markers, or assess the improvements made by quality projects. However, as shown in this research, world-trending topics in data science that include data-driven approaches integrated with SPM have not been reviewed. To bridge this gap and shed light on new research, a systematic review of scientific databases and a taxonomic literature analysis were performed. For the scientometric analysis, a set of bibliometric indicators were obtained to portray the performance of each subtopic, such as examining growth kinetics, identifying top authors, journals, countries and affiliations, as well as creating network maps of co-authorship and keyword co-occurrence. Additionally, the taxonomic analysis involved grouping proposals by methodological approach. Each approach was explained and discussed to identify the advantages, limitations, and challenges that researchers and practitioners may encounter. SPM researchers and practitioners require more flexibility in data-driven approaches to account for frequency unbalance, complexity, dimensionality problems, and speed. Those working in data-driven and computer-oriented areas can expand their toolbox by incorporating sequential approaches to enhance the power of their classifiers, assess risk, reduce misspecification, and adopt model-oriented mindsets.INDEX TERMS Data-driven, healthcare, scientometric, statistical process monitoring.

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Section: A Advantages Of Using Data-driven Methods Combined With a Co...mentioning

confidence: 99%

Section: A Patient Monitoringmentioning

confidence: 99%

A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes

2023

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“…In order to simultaneously remove the positive and negative pulse noises in the signal, a cascade combination of open and close operations was adopted to define the open-close and close-open filters, as shown in Equation (2).…”

Section: Elimination Of Baseline Drift Based On Morphological Operationmentioning

confidence: 99%

“…The heart rate is an indicator of the physical health of the human body and has important applications in medicine, emotional analysis and other fields. In the medical field, monitoring the heart rate can play a role in preventive care [1,2], such as the screening of patients with early cardiovascular disease. The premise of affective computing is that changes in physiological states such as heart rate are closely linked to people's emotions [3,4], so heart rate parameters are essential for building a comprehensive emotion recognition system.…”

Section: Introductionmentioning

confidence: 99%

Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging

et al. 2021

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Vein recognition technology identifies human vein characteristics under near-infrared light and compares it with stored vein information for personal identification. Although this has high anti-counterfeiting performance, it is possible to fabricate artificial hands that simulate vein characteristics to deceive the identity authentication system. In view of this potential deficiency, we introduced heart rate information to vein authentication, a means of living body detection, which can further improve the anti-counterfeiting effect of vein authentication. A hand vein transillumination imaging experiment was designed to prove its effectiveness. In the proposed method, a near-infrared light source is used to transilluminate the hand, and the transillumination images are collected by a common camera. Then, the region of interest is selected for gray-scale image processing, the feature value of each frame is extracted by superimposing and averaging the images, and then the one-dimensional pulse wave is drawn. Furthermore, the baseline drift phenomenon is filtered by morphological methods, and the maximum percentage frequency is determined by Fast Fourier Transform, that is, the pulse wave frequency. The heart rate value is then calculated, and finally, the stability of the heart rate detection result is evaluated. The experiment shows that the method produces accurate and stable results, demonstrating that it can provide living information (heart rate value) for vein authentication, which has great application prospects and development opportunities in security systems.

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Cardiac arrest prediction in smokers using enhanced Artificial Bee Colony algorithm with stacked autoencoder model

Banu¹,

Vanjerkhede²

2023

Computer Methods in Biomechanics and Biomedical Engineering

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Screening of cardiac disease based on integrated modeling of heart rate variability

Cited by 4 publications

References 48 publications

A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes

A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes

Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging

Cardiac arrest prediction in smokers using enhanced Artificial Bee Colony algorithm with stacked autoencoder model

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