Classification Performance-Based Feature Selection Algorithm for Machine Learning: P-Score
In this study, we have developed a feature selection algorithm based on decision support vectors classification performance. The method can work according to two different selection criteria. We tested the classification performances of the features selected with P-Score with three different classifiers. Besides, we assessed P-Score performance with 13 feature selection algorithms in the literature. According to the results of the study, the P-Score feature selection algorithm has been determined as a method which can be used in the field of machine learning.Graphical abstract (Source: IRBM)
Source: IRBM - February 1, 2020 Category: Biomedical Engineering Source Type: research
An Improved Method with High Anti-interference Ability for R Peak Detection in Wearable Devices
Publication date: Available online 24 January 2020Source: IRBMAuthor(s): X. Gu, J. Hu, L. Zhang, J. Ding, F. YanAbstractThe rapid development of the wearable electrocardiogram monitoring equipment increases the requirements for R peak detection in wearable devices. An improved method called ISC algorithm is proposed with high anti-interference ability for R peak detection in wearable devices based on a simple basic algorithm called SC algorithm. The proposed method is characterized by using the updated amplitude selection threshold, updated slope comparison threshold and RR interval judgement to reduce false positives and ...
Source: IRBM - January 25, 2020 Category: Biomedical Engineering Source Type: research
Editorial Board
Publication date: February 2020Source: IRBM, Volume 41, Issue 1Author(s): (Source: IRBM)
Source: IRBM - January 25, 2020 Category: Biomedical Engineering Source Type: research
IRBM: Past and Future Directions
Publication date: February 2020Source: IRBM, Volume 41, Issue 1Author(s): D. Melodelima, F. Frouin (Source: IRBM)
Source: IRBM - January 25, 2020 Category: Biomedical Engineering Source Type: research
Quantification Methodology of “Health Human Resources” Related to “Health Technologies” Based on Indicators “RhSan”, “TechSan” and “RhTech”: Application to Senegal
ConclusionTechSan, RhSan and RhTech can provide reliable decision-making tools in order to elaborate health policies in sub-Saharan African countries on more rigorous basis.Graphical abstract (Source: IRBM)
Source: IRBM - January 23, 2020 Category: Biomedical Engineering Source Type: research
Increased Co-contraction Activity During Push-Off Phase of Walking in Healthy Women
Publication date: Available online 15 January 2020Source: IRBMAuthor(s): A. Strazza, A. Mengarelli, F. Verdini, S. Cardarelli, A. Tigrini, C. Morbidoni, S. Fioretti, F. Di NardoAbstractResearch purposeThe assessment of possible gender-related differences in co-contraction activity of quadriceps femoris vs. hamstring muscles in able-bodied adults, during straight walking.MethodsStatistical gait analysis was performed on surface-EMG signals from vastus lateralis (VL), rectus femoris (RF), and medial hamstrings (MH) in 15 female (F-group) and 15 male (M-group) age-matched healthy adults. Co-contraction timing and occurrence f...
Source: IRBM - January 16, 2020 Category: Biomedical Engineering Source Type: research
Voice Pathologies Classification and Detection Using EMD-DWT Analysis Based on Higher Order Statistic Features
ConclusionHOS features show promising results in the automatic voice pathology detection and classification compared to DWT features. Thus, it can reliably be used as noninvasive tool to assist clinical evaluation for pathological voices identification.Graphical abstract (Source: IRBM)
Source: IRBM - January 7, 2020 Category: Biomedical Engineering Source Type: research
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey
This study could be beneficial for researchers to analyze the existing state-of-art techniques used in detection of arrhythmia conditions. (Source: IRBM)
Source: IRBM - January 4, 2020 Category: Biomedical Engineering Source Type: research
New Intraclass Helitrons Classification Using DNA-Image Sequences and Machine Learning Approaches
Publication date: Available online 3 January 2020Source: IRBMAuthor(s): R. Touati, I. Messaoudi, A.E. Oueslati, Z. Lachiri, M. KharratAbstractHelitrons, eukaryotic transposable elements (TEs) transposed by rolling-circle mechanism, have been found in various species with highly variable copy numbers and sometimes with a large portion of their genomes. The impact of helitrons sequences in the genome is to frequently capture host genes during their transposition. Since their discovery, 18 years ago, by computational analysis of whole genome sequences of Arabidopsis thaliana plant and Caenorhabditis elegans (C. elegans) nemat...
Source: IRBM - January 4, 2020 Category: Biomedical Engineering Source Type: research
Novel PCG Analysis Method for Discriminating Between Abnormal and Normal Heart Sounds
Publication date: Available online 27 December 2019Source: IRBMAuthor(s): O. El Badlaoui, A. Benba, A. HammouchAbstractA novel approach for separation among normal and heart murmurs sounds based on Phonocardiogram (PCG) analysis is introduced in this paper. The purpose of this work is to find the appropriate algorithm able to detect heart failures. Different features have been extracted from time and frequency domains. After the normalization step, the Principal Component Analysis algorithm is used for data reduction and compression. Support Vectors Machine (SVM), and k-Nearest Neighbors (kNN) classifiers were used with di...
Source: IRBM - December 29, 2019 Category: Biomedical Engineering Source Type: research
Isolation of Fetal ECG Signals from Abdominal ECG Using Wavelet Analysis
ConclusionThe proposed method is promising for FECG extraction since it relies on filtering and wavelet analysis of two abdominal signals for the algorithm. The method implemented is easily adjusted based on the power levels of signals, giving it great ease of adaptation to changing signals in different biosignals applications.Graphical abstract (Source: IRBM)
Source: IRBM - December 20, 2019 Category: Biomedical Engineering Source Type: research
A Fuzzy Model for Noise Estimation in Magnetic Resonance Images
ConclusionOn simulation studies on MR phantom, noise variance is found to be well-correlated with image fuzziness. The proposed model exhibited high goodness of fit. The model is found to be superior to the noise models available in literature in terms of Root Mean Square Error (RMSE). The principle of the proposed fuzziness based noise model is straightforward compared to indirect noise models which make use of image histogram.Graphical abstract (Source: IRBM)
Source: IRBM - December 13, 2019 Category: Biomedical Engineering Source Type: research
A Wearable System for In-Home and Long-Term Assessment of Fetal Movement
Conclusion: The proposed wearable system will provide a good alternative to optimize the use of medical professionals and hospital resources, and has potential applications in the field of e-Health home care. Besides, the fetal movement acceleration signals acquired with volunteers (pregnant women) help establish an initial database for future medical analysis of sensor-recorded fetal behaviors.Graphical abstract (Source: IRBM)
Source: IRBM - December 6, 2019 Category: Biomedical Engineering Source Type: research
Online Classification of Multiple Motor Imagery Tasks Using Filter Bank Based Maximum-a-Posteriori Common Spatial Pattern Filters
ConclusionThe proposed FB-MAP-CSP algorithm is found to be a potential / superior method for classifying multi-condition motor imagery EEG signals in comparison to FBCSP based techniques.Graphical abstract (Source: IRBM)
Source: IRBM - November 27, 2019 Category: Biomedical Engineering Source Type: research
Human Gait Recognition Using Hip, Knee and Ankle Joint Ratios
Publication date: Available online 19 November 2019Source: IRBMAuthor(s): V.M. Akhil, M. Ashmi, P.K. Rajendrakumar, K.S. SivanandanAbstractThe estimation of joint angle ratios for healthy and afflicted subjects in characterizing the human gait has great significance in the development of limb prosthetics. The two dimensional analysis of human gait was performed and the ratio of hip to knee, knee to ankle, hip to ankle as well as the time taken for achieving a gait were determined. The percentage of affliction was computed based on the joint angle ratios and comparison was made with healthy gait. The joint ratios were fed a...
Source: IRBM - November 20, 2019 Category: Biomedical Engineering Source Type: research
