A5048771603- Muscle activation and electromyography studies
- Balance, Gait, and Falls Prevention
- Non-Invasive Vital Sign Monitoring
- Effects of Vibration on Health
- Machine Fault Diagnosis Techniques
- Ergonomics and Musculoskeletal Disorders
- Fault Detection and Control Systems
- Structural Health Monitoring Techniques
- Preterm Birth and Chorioamnionitis
- Nutrition and Health in Aging
- EEG and Brain-Computer Interfaces
- Frailty in Older Adults
- Gait Recognition and Analysis
- Cerebral Palsy and Movement Disorders
- ECG Monitoring and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Body Composition Measurement Techniques
- Aging, Elder Care, and Social Issues
- Musculoskeletal pain and rehabilitation
- Neuroscience and Neural Engineering
- Neural Networks and Applications
- Tactile and Sensory Interactions
- Wireless Power Transfer Systems
- Quality and Safety in Healthcare
- Blind Source Separation Techniques
Centre National de la Recherche Scientifique
2006-2019
Université de Technologie de Troyes
2009-2019
Laboratoire Interdisciplinaire Solidarités Sociétés Territoires
2017
Laboratoire Interdisciplinaire de Recherches "Sociétés, Sensibilités, Soin"
2017
Maastricht University
2013
University of Trinidad and Tobago
2010
Institut de Myologie
2010
Université de Technologie de Compiègne
1988-2005
Centre Hospitalier Compiègne-Noyon
1993
Biomécanique et Bioingénierie
1986
A general method is proposed to describe multivariate data sets using discriminant analysis and principal-component analysis. First, the problem of finding K vectors in an L-class set solved compared solution literature for two-class problems classical sets. It shown that better than L classes a generalization optimal problems. Then combined with generalized permit user define properties each successive computed vector. All methods were tested measurements made on various kinds flowers (IRIS...
Abstract Background The study of balance using stabilogram analysis is particular interest in the falls. Although simple statistical parameters derived from have been shown to predict risk falls, such measures offer little insight into underlying control mechanisms responsible for degradation balance. In contrast, fractal and non-linear time-series stabilograms, as estimations Hurst exponent (H), may provide information related motor strategies governing postural stability. order be adapted...
The temporal and spectral properties of the human uterine electromyogram are first described, related to two different situations: pregnancy parturition. Thus, a parameter set is selected, discriminant analysis performed, in order obtain best vector for these situations. A dynamic control efficiency contractions during labor described. good results this permit us propose monitoring device providing information on contraction rate efficiency.
Simulation models are unavoidable in experimental research when the point is to develop new processing algorithms be applied on real signals order extract specific parameter values. Such have generally optimized by comparing true values those deduced from algorithm. Only a simulation model can allow user access and control actual process This constraint especially dealing with biomedical like surface electromyogram (SEMG). work an attempt produce efficient SEMG as help for assessing related...
Several methods of measuring entropy time series have been developed and applied on physiological signals in order to distinguish data sets according their underlying nonlinear dynamics. These are not well adapted for studying the different scales, presence dominant local trends low-frequency components. In this letter, intrinsic mode (IMEn) is proposed as an measure over multiple oscillation levels. Robustness ensured with new measure, enabling efficient characterization dynamics...
Toward the goal of detecting preterm birth by characterizing events in uterine electromyogram (EMG), authors propose a method detection and classification this signal. Uterine EMG is considered as nonstationary signal authors' approach consists assuming piecewise stationarity using dynamic change detector with no priori knowledge parameters hypotheses on process state to be detected. The based cumulative sum (DCS) local generalized likelihood ratios associated multiscale decomposition...
The uterine electromyogram (EMG) has been proven to be an efficient tool for pregnancy and parturition monitoring. Temporal spectral characteristics of this signal, recorded by means external electrodes, make it possible discriminate between inefficient contractions in terms electrical command capability. As is record the activity as early 19 weeks gestational age, abdominal EMG can value monitoring especially if noninvasive recording associated with ambulatory instrumentation. Much work...
Spectral electromyographic (EMG) changes in human quadriceps muscles were studied to reinvestigate discrepant results concerning mean power frequency (MPF) during dynamic exercise. An incremental test consisting of a quasi-linear increase mechanical on bicycle ergometer (for 20-100% maximal aerobic power) was performed by forty subjects. During this test, surface EMGs from the showed that EMG total (PEMG) increased with curvilinear pattern for every subject, whereas MPF kinetics varied one...
Falls are a leading cause of death in the elderly. One most common methods predicting falls is to evaluate balance using force plate measurement Centre Pressure (COP) displacement. This signal, known as stabilogram, can be decomposed into movement anteroposterior (AP) and mediolateral (ML) directions. It has been suggested that studying velocity COP displacement could lead new insights fall risk. The aim this study was attempt classify elderly fallers non-fallers, well control subjects based...
This paper presents a new method for analysis of center pressure (COP) signals using empirical mode decomposition (EMD). The EMD decomposes COP signal into finite set band-limited termed as intrinsic functions (IMFs). Thereafter, processing technique used in continuous chaotic modeling is to investigate the difference between experimental conditions on summed IMFs. detect degree variability from second-order plot, which quantified Central Tendency Measure (CTM). Seventeen subjects were...
Frailty is of increasing concern due to the associated decrease in independence elderly who suffer from condition. An innovative system was designed order objectively quantify level frailty based on a series remote tests, each which used objects similar those found peoples' homes. A modified ball, known as Grip-ball evaluate maximal grip force and exhaustion during an entirely assessment. smartphone equipped with tri-axial accelerometer estimate gait velocity physical activity level....
Frailty detection and remote monitoring are of major importance for slowing down, and/or even stopping the frailty process in home-dwelling older people. Taking Fried's criteria as a reference, this work aims to compare results produced by technological set (ARPEGE Pack) with those obtained usual clinical tests, well discuss ability Pack be used long-run monitoring. 194 participants were given number geriatric tests asked make use ARPEGE tools reference feed indicators. Spearman or Pearson's...
The aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods EMD named complex (complex-EMD) bivariate (bivariate-EMD). All were used analyze stabilogram center pressure (COP) time series. are suitable be applied series extract intrinsic functions (IMFs) before the Hilbert transform is subsequently on IMFs. trace analytic IMF in plane has a circular form, with each having its own rotation frequency. area circle average frequency IMFs represent...