D. Wolf

发表

Time and Frequency Patterns Identification of sEMG Signals Using Hilbert-Huang Transform

L. Leija, R. Muñoz, A. Vera, 2017, IEEE Latin America Transactions.

Interpretation and improvement of an iterative wavelet-based denoising method

D. Wolf, R. Ranta, C. Heinrich, 2003, IEEE Signal Processing Letters.

A COMPLETE TOOLBOX FOR ABDOMINAL SOUNDS SIGNAL PROCESSING AND ANALYSIS

D. Wolf, R. Ranta, C. Heinrich, 2005 .

A ROBUST CHAOTIC AND FAST WALSH TRANSFORM ENCRYPTION FOR GRAY SCALE BIOMEDICAL IMAGE TRANSMISSION

Adelaide Nicole Kengnou Telem, H. Fotsin, D. Tchiotsop, 2015 .

Extraction of reproducible epileptic patterns on scalp EEG

J. Vignal, F. Wendling, D. Wolf, 2006 .

Detection of Sore-risk Regions on the Foot Sole with Digital Image Processing and Passive Thermography in Diabetic Patients

Arturo Vera Hernández, L. Leija, D. Wolf, 2020, 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

AUTOMATIC SEGMENTATION AND CLASSIFICATION OF BOWEL SOUNDS

D. Wolf, R. Ranta, C. Heinrich, 2002 .

Principal component analysis and interpretation of bowel sounds

V. Louis-Dorr, R. Ranta, C. Heinrich, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Digestive Activity Evaluation by Multichannel Abdominal Sounds Analysis

Didier Wolf, Radu Ranta, Valérie Louis-Dorr, 2010, IEEE Transactions on Biomedical Engineering.

Towards an acoustic map of abdominal activity

D. Wolf, Ch. Heinrich, F. Guillemin, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Débruitage par ondelettes et segmentation de signaux non-stationnaires : réinterprétation d'un algorithme itératif et application à la phonoentérographie Wavelet denoising and segmentation for non-stationary signals : a reinterpretation of an iterative algorithm and application to phonoenterography

Radu Ranta, Valérie Louis-Dorr, Didier Wolf, 2003 .

Extraction of reproducible seizure patterns based on EEG scalp correlations

Fabrice Wendling, Didier Wolf, Valérie Louis-Dorr, 2007, Biomed. Signal Process. Control..

Automatic lateralization of temporal lobe epilepsy based on scalp EEG

F. Wendling, V. Louis-Dorr, L. Maillard, 2006, Clinical Neurophysiology.

Detection of early Parkinson’s disease with wavelet features using finger typing movements on a keyboard

Didier Wolf, Daniel Tchiotsop, Atemangoh Bruno Peachap, 2020, SN Applied Sciences.

A comparison study of polynomial-based PCA, KPCA, LDA and GDA feature extraction methods for epileptic and eye states EEG signals detection using kernel machines

Daniel Tchiotsop, Beaudelaire Saha Tchinda, Romain Atangana, 2021 .

EEG signals analysis for epileptic seizures detection using polynomial transforms, linear discriminant analysis and support vector machines

Didier Wolf, Valérie Louis-Dorr, Daniel Tchiotsop, 2020, Biomed. Signal Process. Control..

Automating the clinical stools exam using image processing integrated in an expert system

Didier Wolf, Daniel Tchiotsop, Oscar Takam Nkamgang, 2019, Informatics in Medicine Unlocked.

Automatic Recognition of Human Parasite Cysts on Microscopic Stools Images using Principal Component Analysis and Probabilistic Neural Network

Didier Wolf, Daniel Tchiotsop, Réné Tchinda, 2015 .

Towards an automated medical diagnosis system for intestinal parasitosis

Didier Wolf, Daniel Tchiotsop, Valérie Louis-Dorr, 2019, Informatics in Medicine Unlocked.

Wavelet-based bowel sounds denoising, segmentation and characterization

V. Louis-Dorr, R. Ranta, C. Heinrich, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Retinal blood vessels segmentation using classical edge detection filters and the neural network

Daniel Tchiotsop, Valerie Louis-Dorr, Beaudelaire Saha Tchinda, 2021, Informatics in Medicine Unlocked.

ECG Data Compression Using Jacobi Polynomials

V. Louis-Dorr, R. Husson, D. Tchiotsop, 2007, Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of EEG signals for epileptic seizures detection and eye states identification using Jacobi polynomial transforms-based measures of complexity and least-square support vector machine

Daniel Tchiotsop, Romain Atangana, Laurent Chanel Djoufack Nkengfack, 2021, Informatics in Medicine Unlocked.