Journal of Novel Physiotherapies
Open Access

Elevating Muscle Ultrasound Examination: Real-time Detection of Fasciculation and Automated Motion Recognition for Improved Sensitivity and Specificity

Luciane Wild^*

Department of Exercise, Santa Paula University, Australia

Received Date: Nov 30, 2023 / Published Date: Dec 28, 2023

Citation: Wild L (2023) Elevating Muscle Ultrasound Examination: Real-time Detection of Fasciculation and Automated Motion Recognition for Improved Sensitivity and Specificity. J Nov Physiother 13: 656.DOI: 10.4172/2165-7025.1000656

Copyright: © 2023 Wild L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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To enhance the efficiency of an automated algorithm designed for identifying fasciculation and various movements in muscle ultrasound videos, we are implementing real-time fasciculation detection in muscle ultrasound through continuous analysis of live videos. However, relying solely on human observation imposes limitations on the acquired objective data. The automation of motion detection is anticipated to improve both sensitivity and specificity, thereby enhancing overall reliability. Our investigation focuses on atypical eye movements resulting from disorders affecting the extra ocular muscles and their innervation. We employ a bottom-up anatomical approach, examining the impact of lesions at each site on gaze control. Extra ocular muscles are susceptible to mitochondrial disorders, which restrict the range of eye movements and lead to ptosis, though diplopia is rarely a consequence.