A review on the non-invasive evaluation of skeletal muscle oxygenation

Halim, Abdul; Laili, M. H.; Aziz, N. Ahmad; Laili, A. R.; Salikin, M. S.; Rusop, M.

doi:10.1063/1.4948829

Cited by 1 publication

(2 citation statements)

References 31 publications

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“…Variable, around 2 cm; dependent on intensity of input light, as attenuation of signal is percentage-based [65] Ultrasound Between 25 and 204 Hz for M-Mode ultrasounds imaging skeletal muscle, though this is also dependent upon the scanning area and number of transducers [78] Axial resolution: 0.25-4.0 mm 3-17 cm, depending on transducer probe type and frequency [79] Lateral resolution: 0.5-5 mm Both axial and lateral resolution are dependent on depth and transducer probe type [78] are around 10 mm in diameter to maximize spatial resolution and minimize crosstalk from surrounding muscles. [53] Surface-recording EMGs may lose many fine details of signal feature due to the low-pass filtering that occurs when conducting across the skin.…”

Section: Temporal Resolutionmentioning

confidence: 99%

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Intelligent Systems for Muscle Tracking: A Review on Sensor‐Algorithm Synergy

Putcha

Nguyen

Smith

et al. 2023

Advanced Intelligent Systems

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Advanced technologies for muscle tracking provide easy access to identify and track muscle activity, often for the purposes of therapeutic interventions. The necessity of muscle trackers arises from the acute and chronic sources that disrupt neuromuscular control, resulting in an impaired ability to perform daily activities without assistance. In the context of human–machine interfaces, muscle trackers can serve as the “sensory” component, providing real‐time information to machines, such as exoskeletons and prosthetics, that can act upon such information for therapeutic and functional aid. Recently developed devices for muscle tracking rely on combinations of sensor modalities and algorithms to extract information from biosignals track muscle activity, or even extrapolate kinematic information, including gestures. However, a number of obstacles remain to be overcome to further facilitate the practical implementation of muscle‐tracking technologies, the most notable being real‐time analysis of biosignal data and extracting kinematic information from complex movements. This review attempts to cover the mechanisms behind various sensor modalities and algorithms commonly used for muscle tracking, as well as establish the current state of applications within the field. Given its multidisciplinary nature and ability to free users from rehabilitation constraints, the field of muscle tracking holds significant promise for future study.

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Section: Temporal Resolutionmentioning

confidence: 99%

“…However, generally wearable devices have a penetration depth of approximately 2 cm. [65] 4.2.1. Optical Physics NIRS falls under the umbrella of vibrational spectroscopic techniques, as it is based upon the molecular absorption of NIR radiation.…”

Section: Digital Preprocessingmentioning

confidence: 99%