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Journal of Mechanics in Medicine and Biology is a peer-reviewed journal published by World Scientific, covering Muscle activation and electromyography studies, EEG and Brain-Computer Interfaces, Orthopaedic implants and arthroplasty.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Journal of Mechanics in Medicine and Biology 12, 45–58 (2023).
Formats any DOI in the closest standard style — Journal of Mechanics in Medicine and Biology has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Muscle activation and electromyography studies EEG and Brain-Computer Interfaces Orthopaedic implants and arthroplasty ECG Monitoring and Analysis Elasticity and Material Modeling |
| ISSN | 0219-5194 |
| Citation impact (2-yr) | 0.59 |
| h-index | 48 |
| i10-index | 498 |
| Total citations | 16,725 |
| Top institutions publishing here | Nanyang Technological University |
| Journal website | www.worldscinet.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The commonly accepted "tower of blocks" model for vertebrate spine mechanics is only useful when modeling a perfectly balanced, upright, immobile spine. Using that model, in any other position than perfectly upright, the forces generated will tear muscle, crush bone and exhaust energy. A new model of the spine uses a tensegrity-truss system that will…
In the area of medical imaging and computer vision, automatic diagnosis of ulcer and bleeding from wireless capsule endoscopy images has been an active research domain. It contains several challenges including low contrast, complex background, lesion shape and color which affect its segmentation and classification accuracy. In this article, a novel method for automated detection…
Electroencephalography (EEG) is a measure which represents the functional activity of the brain. We show that a detailed analysis of EEG measurements provides highly discriminant features which indicate the mental state of patients with clinical depression. Our feature extraction method revolves around a novel processing structure that combines wavelet packet decomposition (WPD) and non-linear algorithms.…
EEG is useful for the analysis of the functional activity of the brain and a detailed assessment of this non-stationary waveform can provide crucial parameters indicative of the mental state of patients. The complex nature of EEG signals calls for automated analysis using various signal processing methods. This paper attempts to classify the EEG signals…
Epilepsy is a brain disorder causing people to have recurring seizures. Electroencephalogram (EEG) is the electrical activity of the brain signals that can be used to diagnose the epilepsy. The EEG signal is highly nonlinear and nonstationary in nature and may contain indicators of current disease, or warnings about impending diseases. The chaotic measures like…
