scholarly journals Effect of Real-Time Ultrasound Imaging for Biofeedback on Trunk Muscle Contraction in Healthy Subjects: A Preliminary Study

2020 ◽  
Author(s):  
Shanshan Lin ◽  
Bo Zhu ◽  
Yiyi Zheng ◽  
Guozhi Huang ◽  
Qing Zeng ◽  
...  
Keyword(s):  
Muscle Contraction ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Healthy Subjects ◽  
Clinical Medicine ◽  
Transversus Abdominis ◽  
Trunk Muscles ◽  
Visual Biofeedback ◽  
Preliminary Study ◽  
Experimental Group

Abstract Background: Real-time ultrasound imaging (RUSI) has been increasingly used in clinical medicine as a form of biofeedback when instructing and re-training muscle contraction. However, the effectiveness of the RUSI on a single sustained contraction of the lumbar multifidus (LM) and transversus abdominis (TrA) has rarely been reported. This preliminary study aimed to determine if the use of RUSI as visual biofeedback enhances the ability of activation and continuous contraction of the trunk muscles including LM and TrA.Methods: Forty healthy individuals were included and assigned to 2 groups. All subjects received clinical instruction in how to perform a preferential activation of the LM and TrA, while subjects in the experimental group also received visual feedback (watched the LM and TrA contraction) provided by RUSI. All subjects maintained the LM and TrA contraction for 30 seconds, and the thickness of LM and TrA at rest and during contraction (Tc-max, T15s, and T30s) were extracted and recorded.Results: Non-significant differences were found in the thickness of LM at rest (P > 0.999), Tc-max (P > 0.999), and T15s (P = 0.414) between groups. However, the ability to recruit LM muscle contraction differed between groups at T30s (P = 0.006), with subjects in the experimental group that received visual ultrasound biofeedback maintaining a relative maximum contraction. Besides, there were also no significant differences in the TrA muscle thickness at rest (P > 0.999) and Tc-max (P > 0.999) between groups. While, significant differences of contraction thickness were found at T15s (P = 0.031) and T30s (P = 0.010) between groups during the ADIM, with greater TrA muscle contraction thickness in the experimental group.Conclusions: RUSI can be used to provide visual biofeedback, which can promote continuous contraction efficiency, improve performance, and retention in the ability to activate the LM and TrA muscles in healthy subjects.

scholarly journals Effect of real-time ultrasound imaging for biofeedback on trunk muscle contraction in healthy subjects: a preliminary study

2020 ◽  
Author(s):  
Shanshan Lin ◽  
Bo Zhu ◽  
Yiyi Zheng ◽  
Guozhi Huang ◽  
Qing Zeng ◽  
...  
Keyword(s):  
Muscle Contraction ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Healthy Subjects ◽  
Transversus Abdominis ◽  
Trunk Muscles ◽  
Control Group ◽  
Visual Biofeedback ◽  
Preliminary Study ◽  
Experimental Group

Abstract Background: Real-time ultrasound imaging (RUSI) has been increasingly used as a form of biofeedback when instructing and re-training muscle contraction. However, the effectiveness of the RUSI on a single sustained contraction of the lumbar multifidus (LM) and transversus abdominis (TrA) has rarely been reported. This preliminary study aimed to determine if the use of RUSI, as visual biofeedback, could enhance the ability of activation and continuous contraction of the trunk muscles including LM and TrA.Methods: Forty healthy individuals were included and randomly assigned into the experimental group and control group. All subjects performed a preferential activation of the LM and/or TrA (maintained the constraction of LM and/or TrA for 30 seconds and then relaxed for two minutes), while those in the experimental group also received visual feedback provided by RUSI. The thickness of LM and/or TrA at rest and during contraction (Tc-max, T15s, and T30s) were extracted and recorded. The experiment was repeated three times.Results: No significant differences were found in the thickness of LM at rest (P > 0.999), Tc-max (P > 0.999), and T15s (P = 0.414) between the two groups. However, the ability to recruit LM muscle contraction differed between groups at T30s (P = 0.006), with subjects in the experimental group that received visual ultrasound biofeedback maintaining a relative maximum contraction. Besides, no significant differences were found in the TrA muscle thickness at rest (P > 0.999) and Tc-max (P > 0.999) between the two groups. However, significant differences of contraction thickness were found at T15s (P = 0.031) and T30s (P = 0.010) between the two groups during the Abdominal Drawing-in Maneuver (ADIM), with greater TrA muscle contraction thickness in the experimental group.Conclusions: RUSI can be used to provide visual biofeedback, which can promote continuous contraction, and improve the ability to activate the LM and TrA muscles in healthy subjects.

scholarly journals Effect of real-time ultrasound imaging for biofeedback on trunk muscle contraction in healthy subjects: a preliminary study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Shanshan Lin ◽  
Bo Zhu ◽  
Yiyi Zheng ◽  
Guozhi Huang ◽  
Qi Zeng ◽  
...  
Keyword(s):  
Muscle Contraction ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Healthy Subjects ◽  
Transversus Abdominis ◽  
Trunk Muscles ◽  
Control Group ◽  
Visual Biofeedback ◽  
Preliminary Study ◽  
Experimental Group

Abstract Background Real-time ultrasound imaging (RUSI) has been increasingly used as a form of biofeedback when instructing and re-training muscle contraction. However, the effectiveness of the RUSI on a single sustained contraction of the lumbar multifidus (LM) and transversus abdominis (TrA) has rarely been reported. This preliminary study aimed to determine if the use of RUSI, as visual biofeedback, could enhance the ability of activation and continuous contraction of the trunk muscles including LM and TrA. Methods Forty healthy individuals were included and randomly assigned into the experimental group and control group. All subjects performed a preferential activation of the LM and/or TrA (maintained the constraction of LM and/or TrA for 30 s and then relaxed for 2 min), while those in the experimental group also received visual feedback provided by RUSI. The thickness of LM and/or TrA at rest and during contraction (Tc-max, T15s, and T30s) were extracted and recorded. The experiment was repeated three times. Results No significant differences were found in the thickness of LM at rest (P > 0.999), Tc-max (P > 0.999), and T15s (P = 0.414) between the two groups. However, the ability to recruit LM muscle contraction differed between groups at T30s (P = 0.006), with subjects in the experimental group that received visual ultrasound biofeedback maintaining a relative maximum contraction. Besides, no significant differences were found in the TrA muscle thickness at rest (P > 0.999) and Tc-max (P > 0.999) between the two groups. However, significant differences of contraction thickness were found at T15s (P = 0.031) and T30s (P = 0.010) between the two groups during the Abdominal Drawing-in Maneuver (ADIM), with greater TrA muscle contraction thickness in the experimental group. Conclusions RUSI can be used to provide visual biofeedback, which can promote continuous contraction, and improve the ability to activate the LM and TrA muscles in healthy subjects.

scholarly journals Effect of real-time ultrasound imaging for biofeedback on trunk muscle contraction in healthy subjects: a preliminary study

2020 ◽  
Author(s):  
Shanshan Lin ◽  
Bo Zhu ◽  
Yiyi Zheng ◽  
Guozhi Huang ◽  
Qing Zeng ◽  
...  
Keyword(s):  
Muscle Contraction ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Healthy Subjects ◽  
Transversus Abdominis ◽  
Trunk Muscles ◽  
Control Group ◽  
Visual Biofeedback ◽  
Preliminary Study ◽  
Experimental Group

Abstract Background: Real-time ultrasound imaging (RUSI) has been increasingly used as a form of biofeedback when instructing and re-training muscle contraction. However, the effectiveness of the RUSI on a single sustained contraction of the lumbar multifidus (LM) and transversus abdominis (TrA) has rarely been reported. This preliminary study aimed to determine if the use of RUSI, as visual biofeedback, could enhance the ability of activation and continuous contraction of the trunk muscles including LM and TrA.Methods: Forty healthy individuals were included and randomly assigned into the experimental group and control group. All subjects performed a preferential activation of the LM and/or TrA (maintained the constraction of LM and/or TrA for 30 seconds and then relaxed for two minutes), while those in the experimental group also received visual feedback provided by RUSI. The thickness of LM and/or TrA at rest and during contraction (Tc-max, T15s, and T30s) were extracted and recorded. The experiment was repeated three times.Results: No significant differences were found in the thickness of LM at rest (P > 0.999), Tc-max (P > 0.999), and T15s (P = 0.414) between the two groups. However, the ability to recruit LM muscle contraction differed between groups at T30s (P = 0.006), with subjects in the experimental group that received visual ultrasound biofeedback maintaining a relative maximum contraction. Besides, no significant differences were found in the TrA muscle thickness at rest (P > 0.999) and Tc-max (P > 0.999) between the two groups. However, significant differences of contraction thickness were found at T15s (P = 0.031) and T30s (P = 0.010) between the two groups during the Abdominal Drawing-in Maneuver (ADIM), with greater TrA muscle contraction thickness in the experimental group.Conclusions: RUSI can be used to provide visual biofeedback, which can promote continuous contraction, and improve the ability to activate the LM and TrA muscles in healthy subjects.

scholarly journals Automated semi-real-time detection of muscle activity with ultrasound imaging

2021 ◽  
Author(s):  
Anna J. Sosnowska ◽  
Aleksandra Vuckovic ◽  
Henrik Gollee
Keyword(s):  
Muscle Contraction ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Muscle Activity ◽  
Qualitative Assessment ◽  
Pixel Intensity ◽  
Online Study ◽  
The Difference ◽  
Study Participants ◽  
Force Data

AbstractUltrasound imaging (USI) biofeedback is a useful therapeutic tool; however, it relies on qualitative assessment by a trained therapist, while existing automatic analysis techniques are computationally demanding. This study aims to present a computationally inexpensive algorithm based on the difference in pixel intensity between USI frames. During an offline experiment, where data was analyzed after the study, participants performed isometric contractions of the gastrocnemius medialis (GM) muscle, as executed (30% of maximum contraction) or attempted (low force contraction up to a point when the participant is aware of exerting force or contracting the muscle) movements, while USI, EMG, and force data were recorded. The algorithm achieved 99% agreement with EMG and force measurements for executed movements and 93% for attempted movements, with USI detecting 1.9% more contractions than the other methods. In the online study, participants performed GM muscle contractions at 10% and 30% of maximum contraction, while the algorithm provided visual feedback proportional to the muscle activity (based on USI recordings during the maximum contraction) in less than 3 s following each contraction. We show that the participants reached the target consistently, learning to perform precise contractions. The algorithm is reliable and computationally very efficient, allowing real-time applications on standard computing hardware. It is a suitable method for automated detection, quantification of muscle contraction, and to provide biofeedback which can be used for training of targeted muscles, making it suitable for rehabilitation. Graphical abstract Biofeedback session based on ultrasound imaging (USI) during muscle training. Novel, computationally inexpensive algorithm based on the difference in pixel intensity between USI frames is used to process the video and provide quantitative feedback on the strength of muscle contraction.

The effects of curl-up exercise in terms of posture and muscle contraction direction on muscle activity and thickness of trunk muscles

2020 ◽  
Vol 33 (5) ◽  
pp. 857-863
Author(s):  
Sun-Young Ha ◽  
DooChul Shin
Keyword(s):  
Muscle Contraction ◽  
Muscle Activity ◽  
Muscle Thickness ◽  
Transversus Abdominis ◽  
Trunk Muscles ◽  
Abdominal Muscles ◽  
Significant Difference ◽  
Effective Angle ◽  
External Oblique ◽  
Internal Oblique

BACKGROUND: The curl-up exercise is widely used in clinical practice for strengthening abdominal muscles, but has been applied without a systematic method. OBJECTIVE: The purpose of this study was to determine the most effective method considering the angle and muscle contraction direction during the curl-up exercise. METHODS: Fourteen healthy males performed the curl-up exercise according to contraction direction (concentric and eccentric) and angle (30∘, 60∘, and 90∘). The muscle activity of the rectus abdominis (RA), external oblique (EO), internal oblique (IO), and iliopsoas (IP) was measured using electromyography (EMG), and the muscle thickness of transversus abdominis (TrA) was measured using ultrasonography. RESULTS: The activities of the abdominal muscles (RA, EO, and IO) decreased with increasing angles (30∘, 60∘, and 90∘) (p< 0.05). There was no significant difference between eccentric and concentric contractions. The thickness ratio of TrA was the largest at an eccentric curl-up at 30∘, and the smallest at a concentric curl-up at 30∘ (p< 0.05). CONCLUSIONS: The most effective angle for curl-up was 30∘. Although there is no difference in the direction of muscle contraction, eccentric curl-up at 30∘ could be considered the most effective posture for abdominal strengthening considering the importance of TrA.

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