Trunk muscle activity patterns in a person with spinal cord injury walking with different un-powered exoskeletons: A case study

Guan, Xinyu; Liu, Yali; Gao, Lianjun; Ji, Linhong; Wang, Rencheng; Yang, Mingliang; Ji, Run

doi:10.2340/16501977-2065

Cited by 9 publications

(10 citation statements)

References 6 publications

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“…The raw EMG signals were filtered by a bidirectional Butterworth band-pass filter with cutoff values of 20 and 500 Hz [31,32] in a custom script written in MATLAB (MathWorks Inc., Natick, MA, USA). The signals were full-wave rectified and filtered by a low-pass filter at 10 Hz [33,34]. The filtered EMG signals were then used to calculate the root mean square (RMS EMG) with a window of 10 ms to describe the muscle activation during movement [33].…”

Section: The Emg Analysismentioning

confidence: 99%

“…In addition, the filtered EMG signals were used to calculate the mean of the EMG (MEMG) to describe the work of one muscle during movement. Since the gait cycle was usually normalized to 0~100%, the sEMG data acquired synchronously should be also interpolated into 0~100% to describe how the muscles were activated during the gait [34,35]. Therefore, all the RMS EMGs were interpolated into 101 points corresponding to the gait cycle.…”

Section: The Emg Analysismentioning

confidence: 99%

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Effects of Backpack Loads on Leg Muscle Activation during Slope Walking

Liu

Qiang²,

Song

et al. 2020

Applied Sciences

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Hikers and soldiers usually walk up and down slopes with a load carriage, causing injuries of the musculoskeletal system, especially during a prolonged load journey. The slope walking has been reported to lead to higher leg extensor muscle activities and joint moments. However, most of the studies investigated muscle activities or joint moments during slope walking without load carriage or only investigated the joint moment changes and muscle activities with load carriages during level walking. Whether the muscle activation such as the signal amplitude is influenced by the mixed factor of loads and grades and whether the influence of the degrees of loads and grades on different muscles are equal have not yet been investigated. To explore the effects of backpack loads on leg muscle activation during slope walking, ten young male participants walked at 1.11 m/s on a treadmill with different backpack loads (load masses: 0, 10, 20, and 30 kg) during slope walking (grade: 0, 3, 5, and 10°). Leg muscles, including the gluteus maximus (GM), rectus femoris (RF), hamstrings (HA), anterior tibialis (AT), and medial gastrocnemius (GA), were recorded during walking. The hip, knee, and ankle extensor muscle activations increased during the slope walking, and the hip muscles increased most among hip, knee, and ankle muscles (GM and HA increased by 46% to 207% and 110% to 226%, respectively, during walking steeper than 10° across all load masses (GM: p = 1.32 × 10−8 and HA: p = 2.33 × 10−16)). Muscle activation increased pronouncedly with loads, and the knee extensor muscles increased greater than the hip and ankle muscles (RF increased by 104% to 172% with a load mass greater than 30 kg across all grades (RF: p = 8.86 × 10−7)). The results in our study imply that the hip and knee muscles play an important role during slope walking with loads. The hip and knee extension movements during slope walking should be considerably assisted to lower the muscle activations, which will be useful for designing assistant devices, such as exoskeleton robots, to enhance hikers’ and soldiers’ walking abilities.

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Section: The Emg Analysismentioning

confidence: 99%

Section: The Emg Analysismentioning

confidence: 99%

Effects of Backpack Loads on Leg Muscle Activation during Slope Walking

Liu

Qiang²,

Song

et al. 2020

Applied Sciences

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“…Then, a fourth-order Butterworth band-pass filter with cutoff values between 10 Hz and 500 Hz was applied [ 14 – 16 ]. The root mean square was calculated with a moving 100 ms window to smooth the signals [ 12 , 17 ]. All rectification, filtering, and smoothing were processed in the software (EMGworks 4.1.7, Analysis).…”

Section: Methodsmentioning

confidence: 99%

“…The static analysis method for the strength and few analyses of relationship between strength and muscle activation limit our knowledge on the characteristics of the abnormal patterns. The dynamic analysis between the kinematic or dynamic parameters and the muscle activation has been reported to be beneficial to understand patients' movement relationship between the extrinsic characteristics and the inherent nature [ 12 ]. Therefore, a dynamic analysis on the performing process is needed to explore the relationship between the strength and muscle activation and investigate the elements influencing the abnormal strength patterns.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of the Abnormal Isometric Strength Movement Pattern between Shoulder and Elbow Joint in Patients with Hemiplegia

Liu

Hong

2018

Journal of Healthcare Engineering

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Patients with hemiplegia usually have weak muscle selectivity and usually perform strength at a secondary joint (secondary strength) during performing a strength at one joint (primary strength). The abnormal strength pattern between shoulder and elbow joint has been analyzed by the maximum value while the performing process with strength changing from 0 to maximum then to 0 was a dynamic process. The objective of this study was to develop a method to dynamically analyze the strength changing process. Ten patients were asked to perform four group asks (maximum and 50% maximum voluntary strength in shoulder abduction, shoulder adduction, elbow flexion, and elbow extension). Strength and activities from seven muscles were measured. The changes of secondary strength had significant correlation with those of primary strength in all tasks (R > 0.76, p < 0.01). The antagonistic muscles were moderately influenced by the primary strength (R > 0.4, p < 0.01). Deltoid muscles, biceps brachii, triceps brachii, and brachioradialis had significant influences on the abnormal strength pattern (all p < 0.01). The dynamic method was proved to be efficient to analyze the different influences of muscles on the abnormal strength pattern. The muscles, deltoid muscles, biceps brachii, triceps brachii, and brachioradialis, much influenced the stereotyped movement pattern between shoulder and elbow joint.

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“…Тренировка мышц на аппаратных комплексах с БОСэффективный и перспективный метод реабилитации лиц с ТБСМ [9,10,[16][17][18][19][20].…”

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Biofeedback in Rehabilitation for People with Traumatic Spinal Cord Injury

Бодрова¹,

Zakamyrdina²

2019

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Цель исследования: оценка возможностей технологий с биологической обратной связью (БОС) у пациентов с травматической болезнью спинного мозга (ТБСМ), занимающихся адаптивной физической культурой (АФК). Дизайн: рандомизированное исследование. Материалы и методы. Обследованы 48 мужчин в возрасте 25,8 ± 2,1 года с ТБСМ (поясничный уровень повреждения, давность травмы от 1,5 года до 6 лет). В группе 1 (n = 18) проводили стандартную терапию, активную механотерапию с БОС под контролем электромиографии (ЭМГ) мышц верхних и нижних конечностей и мышц спины, активно-пассивную электростимуляцию с БОС под контролем ЭМГ мышц спины и нижних конечностей. В группе 2 (n = 30) применяли только стандартную терапию. Состояние пациентов оценивали по клиническим и функциональным шкалам; выполняли электронейрофизиологические исследования и исследование вегетативных функций; изучали данные протокола тестирования EN-TreeM по силе, амплитуде, средней скорости, мощности при концентрических и эксцентрических сокращениях мышц. Результаты. В группе 1 при эксцентрических сокращениях мышц мощность увеличилась на 88,5%, амплитуда на 79,2% (в обоих случаях рост статистически значим: p < 0,001). В группе 2 показатели свободного движения статистически значимо не изменились (p > 0,05). Заключение. Технологии с БОС повышают эффективность медицинской реабилитации пациентов с ТБСМ, занимающихся АФК. Ключевые слова: медицинская реабилитация, механотерапия, электромиостимуляция, биологическая обратная связь, адаптивная физическая культура.

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Trunk muscle activity patterns in a person with spinal cord injury walking with different un-powered exoskeletons: A case study

Abstract: These findings prompt further development of un-powered exoskeletons and investigation into trunk muscle functions in patients with spinal cord injury when walking with un-powered exoskeletons.

Cited by 9 publications

References 6 publications

Effects of Backpack Loads on Leg Muscle Activation during Slope Walking

Effects of Backpack Loads on Leg Muscle Activation during Slope Walking

Dynamic Analysis of the Abnormal Isometric Strength Movement Pattern between Shoulder and Elbow Joint in Patients with Hemiplegia

Biofeedback in Rehabilitation for People with Traumatic Spinal Cord Injury

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