2021
DOI: 10.1007/978-3-030-69547-7_50
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Ultrasound-Based Sensing and Control of Functional Electrical Stimulation for Ankle Joint Dorsiflexion: Preliminary Study

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Cited by 1 publication
(3 citation statements)
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“…The potential for TDI to monitor muscle fatigue during EMS brings about unique opportunities in biomechanics, rehabilitation, and sports performance. EMS parameters such as timing, duration, and intensity are commonly controlled without any feedback from the targeted muscle (Shields et al, 2006 ; Freeman et al, 2016 ; Hallock et al, 2018 ; Phongamwong et al, 2019 ), though finding real time feedback to close the loop for human–robot interaction is an active area of research (Zhou et al, 2018 ; Zhang et al, 2022b ). By integrating muscle fatigue as feedback, EMS protocols can be better refined to optimize the desired stimulation outcomes.…”
Section: Discussionmentioning
confidence: 99%
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“…The potential for TDI to monitor muscle fatigue during EMS brings about unique opportunities in biomechanics, rehabilitation, and sports performance. EMS parameters such as timing, duration, and intensity are commonly controlled without any feedback from the targeted muscle (Shields et al, 2006 ; Freeman et al, 2016 ; Hallock et al, 2018 ; Phongamwong et al, 2019 ), though finding real time feedback to close the loop for human–robot interaction is an active area of research (Zhou et al, 2018 ; Zhang et al, 2022b ). By integrating muscle fatigue as feedback, EMS protocols can be better refined to optimize the desired stimulation outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…We envision future wearable feedback devices can use ultrasound to monitor EMS-induced muscle fatigue in real time. Wearable ultrasound is still an emerging technology (Sikdar et al, 2014 ; AlMohimeed and Ono, 2020 ), and we are optimistic that other ultrasound approaches besides TDI may have utility to quantify muscle fatigue (Zhang et al, 2022b ). Although TDI provides robust and detailed velocity information, current implementations of TDI typically have high power requirements, impractically large physical forms, extensive computational and memory demands, and are thus generally unsuited for wearable applications.…”
Section: Discussionmentioning
confidence: 99%
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