Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Md Asraf Ali"'
Autor:
Md Anamul Islam, Kenneth Sundaraj, R Badlishah Ahmad, Sebastian Sundaraj, Nizam Uddin Ahamed, Md Asraf Ali
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e104280 (2014)
Problem statementIn mechanomyography (MMG), crosstalk refers to the contamination of the signal from the muscle of interest by the signal from another muscle or muscle group that is in close proximity.PurposeThe aim of the present study was two-fold:
Externí odkaz:
https://doaj.org/article/38fe270a97ac45338c7cf0481c1143fb
Autor:
Md Anamul Islam, Kenneth Sundaraj, R Badlishah Ahmad, Sebastian Sundaraj, Nizam Uddin Ahamed, Md Asraf Ali
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e96628 (2014)
PURPOSE: This study aimed: i) to examine the relationship between the magnitude of cross-talk in mechanomyographic (MMG) signals generated by the extensor digitorum (ED), extensor carpi ulnaris (ECU), and flexor carpi ulnaris (FCU) muscles with the s
Externí odkaz:
https://doaj.org/article/8fca5a0ac7554df6bfed09d1bb28339f
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT).
Autor:
Tasriva Sikandar, Sam Matiur Rahman, Dilshad Islam, Md. Asraf Ali, Md. Abdullah Al Mamun, Mohammad Fazle Rabbi, Kamarul H. Ghazali, Omar Altwijri, Mohammed Almijalli, Nizam U. Ahamed
Publikováno v:
Bioengineering; Volume 9; Issue 11; Pages: 715
Walking speed is considered a reliable assessment tool for any movement-related functional activities of an individual (i.e., patients and healthy controls) by caregivers and clinicians. Traditional video surveillance gait monitoring in clinics and a
Publikováno v:
Procedia Computer Science. 185:338-344
Upper limb elbow movement in terms of flexion-relaxation is a complex physical phenomenon in human daily life, particularly during synchronized activities, such as exercising, reaching, pointing, and manipulating. Improper elbow movement might cause
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811648069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4003296e5a544df8501b196efa77d87d
https://doi.org/10.1007/978-981-16-4807-6_29
https://doi.org/10.1007/978-981-16-4807-6_29
Publikováno v:
2021 IEEE Madras Section Conference (MASCON).
Analysis of the complexity and variability from the biomedical physiological time series data raises significant interest as a promising and sensitive marker of abnormality or impairment assessment in muscle physiology, especially in electromyography
Publikováno v:
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).
Breast Cancer is the second most important cause of death among women. As per the clinical expert, breast cancer is one of prominent cancers after lung cancer. However, early detection of this type of cancer in its initial stage helps to save lifes a
Publikováno v:
ICCDE
Software fault prediction and proneness has long been considered as a critical issue for the tech industry and software professionals. In the traditional techniques, it requires previous experience of faults or a faulty module while detecting the sof
Publikováno v:
Cyber Security and Computer Science ISBN: 9783030528553
The aim of this review study is to analyze the techniques for predicting the surface EMG activities on upper limb muscles using different machine learning algorithms. In this study, we followed a systematic searching procedure to select articles from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4a021bef32270b5fb8de0f17eecead7
https://doi.org/10.1007/978-3-030-52856-0_26
https://doi.org/10.1007/978-3-030-52856-0_26