Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Abdelouahad Achmamad"'
Publikováno v:
Scientific African, Vol 20, Iss , Pp e01676- (2023)
Rehabilitation services are among the most severely impacted by the COVID-19 pandemic. This has increased the number of people not receiving the needed rehabilitation care. Home-based rehabilitation becomes alternative support to face this greater ne
Externí odkaz:
https://doaj.org/article/c5ba1d8b2e9249a4a3c75d25e1716c16
Publikováno v:
2022 16th IEEE International Conference on Signal Processing (ICSP).
Publikováno v:
Analog Integrated Circuits and Signal Processing. 108:635-650
The purpose of this research is to design and implement embedded instrumentation and processing for sEMG signal. This embedded system is based on PSoC reconfigurable technology. The methodological approach followed consists of two aspects. A theoreti
Autor:
Abdelouahad Achmamad, Atman Jbari
Automatic detection of neuromuscular disorders performed using electromyography (EMG) has become an interesting domain for many researchers. In this paper, we present an approach to evaluate and classify the non-stationary EMG signals based on discre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85207174351e52dfe4430561a77c4834
https://zenodo.org/record/4490084
https://zenodo.org/record/4490084
Fast automatic detection of amyotrophic lateral sclerosis disease based on Euclidean distance metric
Publikováno v:
2020 International Conference on Electrical and Information Technologies (ICEIT).
This paper proposes an efficient method for the fast detection of amyotrophic lateral sclerosis (ALS) disease. Electromyography (EMG) signal is the most often used in the processing of neuromuscular disorders such as ALS and myopathy. EMG provides he
Publikováno v:
2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT).
Electromyography (EMG) is a very suitable technique for the diagnosis of the skeletal muscle state. This work introduces a powerful tool for the analysis and the classification of myopathy and normal EMG signals. Continuous wavelet transform (CWT) wa
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 9:744
Early diagnosis of amyotrophic lateral sclerosis (ALS) based on electromyography (EMG) is crucial. The processing of a non-stationary EMG signal requires powerful multi-resolution methods. Our study analyzes and classifies the EMG signals. In the pre
Publikováno v:
Journal of Communications Software & Systems; Dec2019, Vol. 15 Issue 4, p336-342, 7p
Autor:
Saad Motahhir
This book covers a wide range of challenges, technologies and state-of-the-art for the design, development and realization of smart and complex embedded systems and their applications; i.e., software and hardware development, with the use of digital