A review on the nonlinear dynamical system analysis of electrocardiogram signal

SK Nayak, A Bit, A Dey, B Mohapatra… - Journal of healthcare …, 2018 - Wiley Online Library
Electrocardiogram (ECG) signal analysis has received special attention of the researchers in
the recent past because of its ability to divulge crucial information about the …

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks

W Zeng, J Yuan, C Yuan, Q Wang, F Liu… - Artificial Intelligence …, 2021 - Springer
Phonocardiogram (PCG) plays an important role in evaluating many cardiac abnormalities,
such as the valvular heart disease, congestive heart failure and anatomical defects of the …

Automatic detection of heart valve disorders using Teager–Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG …

W Zeng, B Su, C Yuan, Y Chen - Artificial Intelligence Review, 2023 - Springer
The heart sound signals (phonocardiogram, PCG) have been for decades a fundamental
diagnostic tool to detect a potential cardiovascular pathology in clinical practice. Due to the …

Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers

Y Chen, B Su, W Zeng, C Yuan, B Ji - Multimedia Tools and Applications, 2023 - Springer
Phonocardiogram (PCG) is commonly used as a diagnostic tool in ambulatory monitoring in
order to evaluate cardiac abnormalities and detect cardiovascular diseases. Although …

Soft measurement modeling based on chaos theory for biochemical oxygen demand (BOD)

J Qiao, Z Hu, W Li - Water, 2016 - mdpi.com
The precision of soft measurement for biochemical oxygen demand (BOD) is always
restricted due to various factors in the wastewater treatment plant (WWTP). To solve this …

A diagnostic system for detection of atrial and ventricular arrhythmia episodes from electrocardiogram

A Chetan, RK Tripathy, S Dandapat - Journal of Medical and Biological …, 2018 - Springer
Cardiac arrhythmias, with each passing day, are becoming highly prevalent in modern
society. The ever increasing number of patients added to the sheer amount of data that is …

Changes in bowel sounds of inpatients undergoing general anesthesia

G Wang, M Wang, H Liu, S Zhao, L Liu… - BioMedical Engineering …, 2020 - Springer
Background General anesthesia can affect intestinal function, but there is no objective,
practical and effective indicator to evaluate the inhibition and recovery of intestinal function …

Research on athlete skipping surface electromyography and energy consumption based on principal component analysis of wavelet packet

Y Yu - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
EMG signal acquisition is mostly used in medical research. However, it has not been applied
in athletes' sports state recognition and body state detection, and there are few related …

Identification of localized void defects in composite by recurrence quantification analysis of ultrasonic backscattered signal

Z Wang, CL Yang, XJ Zhou, YH Teng - Russian Journal of Nondestructive …, 2019 - Springer
Voids usually have a detrimental effect on the performance of carbon fiber reinforced
polymer (CFRP). This paper presents a nonlinear dynamic method, known as recurrence …

Optimization of recurrence quantification analysis for detecting the presence of multiple sclerosis

S Carrubba, C Frilot, AA Marino - Journal of Medical and Biological …, 2019 - Springer
Purpose The visual patterns in recurrence plots of time-series data can be quantified using
recurrence quantification analysis (RQA), a phase-space-based method. The ability to …