BACKGROUND Dysphagia,or swallowing disorder,is a common complication following stroke,significantly impacting patients'quality of life.Electromyographic biofeedback(EMGBF)therapy has emerged as a potential rehabil...BACKGROUND Dysphagia,or swallowing disorder,is a common complication following stroke,significantly impacting patients'quality of life.Electromyographic biofeedback(EMGBF)therapy has emerged as a potential rehabilitation technique to improve swallowing function,but its efficacy in comparison with conventional treatments remains to be further explored.AIM To investigate the effects of different treatment intensities of EMGBF on swallowing function and motor speed after stroke.METHODS The participants were divided into three groups,all of which received routine neurological drug therapy and motor function rehabilitation training.On the basis of routine swallowing disorder training,the EMGBF group received additional EMGBF training,while the enhanced EMGBF group received two additional training sessions.Four weeks before and after treatment,the degree of swallowing disorder was evaluated using the degree of swallowing disorder score(VGF)and the Rosenbek penetration-aspiration scale(PAS).RESULTS Initially,there was no significant difference in VGF and PAS scores among the groups(P>0.05).After four weeks,all groups showed significant improvement in both VGF scores and PAS scores.Furthermore,the standardized swallowing assessment and videofluoroscopic dysphagia scale scores also improved significantly post-treatment,indicating enhanced swallowing function and motor function of the hyoid-bone laryngeal complex,particularly in the intensive EMGBF group.CONCLUSION EMGBF training is more effective than traditional swallowing training in improving swallowing function and the movement rate of the hyoid laryngeal complex in patients with post-stroke dysphagia.展开更多
Objective:This paper focuses on the research and discussion of the efficacy of electromyographic biofeedback combined with swallowing training on post-stroke dysphagia.Methods:This study randomly sampled and analyzed ...Objective:This paper focuses on the research and discussion of the efficacy of electromyographic biofeedback combined with swallowing training on post-stroke dysphagia.Methods:This study randomly sampled and analyzed 68 patients with post-stroke dysphagia from January 2023 to December 2023,34 cases of swallowing training intervention were grouped as the control group,and 34 cases of electromyography biofeedback combined with swallowing training intervention were grouped as the study group,and the clinical therapeutic effects of the two groups of patients after receiving the two different modes of intervention were compared.Results:The swallowing function of patients in both groups improved,and the VFSS score of patients in the seminar group was significantly higher than that of the control group,indicating that the clinical efficacy of the seminar group was more significant.The nasal feeding tube extraction rate,extraction time,and quality of life scores of the seminar group were better than those of the control group(P<0.05),which is of research value.Conclusion:For patients with post-stroke dysphagia,treatment with electromyography biofeedback combined with swallowing training mode can significantly improve their swallowing function.This effective intervention can not only shorten the time for patients to remove the nasal feeding tube but also help to improve the quality of life of patients,which is worth using.展开更多
This study analyzed the difference between using a downward breaststroke kick and a horizontal breaststroke kick in a sample of world class elite swimmers.We compared average muscle activity of the gluteus maximus,qua...This study analyzed the difference between using a downward breaststroke kick and a horizontal breaststroke kick in a sample of world class elite swimmers.We compared average muscle activity of the gluteus maximus,quadriceps femoris(vastus medialis and rectus femoris),hamstring/long head of the biceps femoris,gastrocnemius medialis,rectus abdominal,and erector spinae when using the downward breaststroke kick technique.We find that when this sample of swimmers utilized the downward breaststroke kick,max speed and velocity per stroke increased,measured by 12,788 EMG samples,where the results are highly correlated to duration of the aerodynamic buoyant force in breaststroke kick technique.The increases in performance observed from measuring the world class elite swimmers is highly correlated to the duration of the kick aerodynamic buoyant force.Among this sample of elite swimmers,the longer a swimmer demonstrates a buoyant force breaststroke kick,the lower the time in a 100 breaststroke.展开更多
Surface Electromyography (EMG) is a standard method used in clinical practice and research to assess motor function in order to help with the diagnosis of neuromuscular pathology in human and animal models. EMG record...Surface Electromyography (EMG) is a standard method used in clinical practice and research to assess motor function in order to help with the diagnosis of neuromuscular pathology in human and animal models. EMG recorded from trunk muscles involved in the activity of breathing can be used as a direct measure of respiratory motor function in patients with spinal cord injury (SCI) or other disorders associated with motor control deficits. However, EMG potentials recorded from these muscles are often contaminated with heart-induced electrocardiographic (ECG) signals. Elimination of these artifacts plays a critical role in the precise measure of the respiratory muscle electrical activity. This study was undertaken to find an optimal approach to eliminate the ECG artifacts from EMG recordings. Conventional global filtering can be used to decrease the ECG-induced artifact. However, this method can alter the EMG signal and changes physiologically relevant information. We hypothesize that, unlike global filtering, localized removal of ECG artifacts will not change the original EMG signals. We develop an approach to remove the ECG artifacts without altering the amplitude and frequency components of the EMG signal by using an externally recorded ECG signal as a mask to locate areas of the ECG spikes within EMG data. These segments containing ECG spikes were decomposed into 128 sub-wavelets by a custom-scaled Morlet Wavelet Transform. The ECG-related subwavelets at the ECG spike location were removed and a de-noised EMG signal was reconstructed. Validity of the proposed method was proven using mathematical simulated synthetic signals and EMG obtained from SCI patients. We compare the Rootmean Square Error and the Relative Change in Variance between this method, global, notch and adaptive filters. The results show that the localized wavelet-based filtering has the benefit of not introducing error in the native EMG signal and accurately removing ECG artifacts from EMG signals.展开更多
Objective To improve the lunctional occiusion afer orthognathic operation, the contractiiities of masseter, temporalis and digastric muscles were studied before and after surgery. Methods By means of integrated electr...Objective To improve the lunctional occiusion afer orthognathic operation, the contractiiities of masseter, temporalis and digastric muscles were studied before and after surgery. Methods By means of integrated electromyogram (EMG), bioelectric potentials and EMG activities of these 3 muscles were recorded. ResuIts Signilicant decreases in bioelectric potentials and EMG activities belore and after surgery were observed in working muscles. No doflerence was noted in resting muscles. ConcIusion Postoperative malocclusion necessitates postoperative orthodontic treatment.展开更多
Prophylactic and rehabilitative ankle training programs rarely incorporate ankle eversion exercises of the weight bearing leg during one-legged stand. Such training may be necessary for the optimal PL function and dyn...Prophylactic and rehabilitative ankle training programs rarely incorporate ankle eversion exercises of the weight bearing leg during one-legged stand. Such training may be necessary for the optimal PL function and dynamic ankle control. In this study, we compared a PL exercise that involved eversion of the inverted ankle of a weight bearing leg against the heel lift (HL), a popular PL strengthening exercise. The PL activation patterns were studied in 20 university students (7 male and 13 female). The self-reported dominant legs of the subjects were tested in this study. After recording the surface electromyographic (EMG) activity level of their PL maximal voluntary isometric contractions (MVIC), the subjects performed HL, and ankle eversions of the weight bearing ankle during one-legged stand. Ankle eversions were initiated from two inverted ankle positions, 20 degree inversion (EV1) and 25 degree inversion (EV2). The ankle position and the PL muscle activity were recorded with an accelerometer affixed to the dorsum of the foot and a surface EMG electrode over PL respectively. The ranges of motion for HL, EV1, and EV2 were 25, 29, and 31 degrees respectively. Expressed as percentage of MVIC, the average normalized EMG linear envelopes for EV1 (73%) and EV2 (74%) were significantly greater than HL (64%). These results demonstrated that eversions of the inverted ankle of the weight bearing leg elicited stronger PL activation that may result in better lateral ankle strength and dynamic control. Incorporation of weight bearing ankle eversions may enhance effectiveness of PL exercise and balance.展开更多
The detection of physiological signals from the motor system (electromyographic signals) is being utilized in the practice clinic to guide the therapist in a more precise and accurate diagnosis of motor disorders. I...The detection of physiological signals from the motor system (electromyographic signals) is being utilized in the practice clinic to guide the therapist in a more precise and accurate diagnosis of motor disorders. In this context, the process of decomposition of EMG (electromyographic) signals that includes the identification and classification of MUAP (Motor Unit Action Potential) of a EMG signal, is very important to help the therapist in the evaluation of motor disorders. The EMG decomposition is a complex task due to EMG features depend on the electrode type (needle or surface), its placement related to the muscle, the contraction level and the health of the Neuromuscular System. To date, the majority of researches on EMG decomposition utilize EMG signals acquired by needle electrodes, due to their advantages in processing this type of signal. However, relatively few researches have been conducted using surface EMG signals. Thus, this article aims to contribute to the clinical practice by presenting a technique that permit the decomposition of surface EMG signal via the use of Hidden Markov Models. This process is supported by the use of differential evolution and spectral clustering techniques. The developed system presented coherent results in: (1) identification of the number of Motor Units actives in the EMG signal; (2) presentation of the morphological patterns of MUAPs in the EMG signal; (3) identification of the firing sequence of the Motor Units. The model proposed in this work is an advance in the research area of decomposition of surface EMG signals.展开更多
This study is to investigate the changes of back muscle electromyography (EMG) in occupational low back pain (LBP) patients pre-and post-rehabilitation.20 occupational LBP patients were asked to perform sepcially desi...This study is to investigate the changes of back muscle electromyography (EMG) in occupational low back pain (LBP) patients pre-and post-rehabilitation.20 occupational LBP patients were asked to perform sepcially designed symmetrical and asymmetrical actions,which include"carrying"weights up and down with a 45° left rotation.Back muscle EMG signals were recorded from surface of paraspinal muscles.The tests performed in the weeks immediately before and after 12-week rehabilitation treatment.The profile and mean power frequency (MPF) of EMG were compared between pre-and post-rehabilitation.EMG profiles showed unchangeable,but the MPF showed significantly increase in post-rehabilitation comparing to pre-rehabilitation.That suggested that the muscle activity strategies could not be modified by rehabilitation,but the rehabilitation would increase the threshold of fatigue and reduce the possible muscle pain in back paraspinal muscles.展开更多
The surface electromyography(sEMG)is one of the basic processing techniques to the gesture recognition because of its inherent advantages of easy collection and non-invasion.However,limited by feature extraction and c...The surface electromyography(sEMG)is one of the basic processing techniques to the gesture recognition because of its inherent advantages of easy collection and non-invasion.However,limited by feature extraction and classifier selection,the adaptability and accuracy of the conventional machine learning still need to promote with the increase of the input dimension and the number of output classifications.Moreover,due to the different characteristics of sEMG data and image data,the conventional convolutional neural network(CNN)have yet to fit sEMG signals.In this paper,a novel hybrid model combining CNN with the graph convolutional network(GCN)was constructed to improve the performance of the gesture recognition.Based on the characteristics of sEMG signal,GCN was introduced into the model through a joint voting network to extract the muscle synergy feature of the sEMG signal.Such strategy optimizes the structure and convolution kernel parameters of the residual network(ResNet)with the classification accuracy on the NinaPro DBl up to 90.07%.The experimental results and comparisons confirm the superiority of the proposed hybrid model for gesture recognition from the sEMG signals.展开更多
基金the Research Program of Basic Research Operating Expenses of Provincial Higher Education Institutions in Heilongjiang Province in 2021,No.2021-KYYWF-0369.
文摘BACKGROUND Dysphagia,or swallowing disorder,is a common complication following stroke,significantly impacting patients'quality of life.Electromyographic biofeedback(EMGBF)therapy has emerged as a potential rehabilitation technique to improve swallowing function,but its efficacy in comparison with conventional treatments remains to be further explored.AIM To investigate the effects of different treatment intensities of EMGBF on swallowing function and motor speed after stroke.METHODS The participants were divided into three groups,all of which received routine neurological drug therapy and motor function rehabilitation training.On the basis of routine swallowing disorder training,the EMGBF group received additional EMGBF training,while the enhanced EMGBF group received two additional training sessions.Four weeks before and after treatment,the degree of swallowing disorder was evaluated using the degree of swallowing disorder score(VGF)and the Rosenbek penetration-aspiration scale(PAS).RESULTS Initially,there was no significant difference in VGF and PAS scores among the groups(P>0.05).After four weeks,all groups showed significant improvement in both VGF scores and PAS scores.Furthermore,the standardized swallowing assessment and videofluoroscopic dysphagia scale scores also improved significantly post-treatment,indicating enhanced swallowing function and motor function of the hyoid-bone laryngeal complex,particularly in the intensive EMGBF group.CONCLUSION EMGBF training is more effective than traditional swallowing training in improving swallowing function and the movement rate of the hyoid laryngeal complex in patients with post-stroke dysphagia.
文摘Objective:This paper focuses on the research and discussion of the efficacy of electromyographic biofeedback combined with swallowing training on post-stroke dysphagia.Methods:This study randomly sampled and analyzed 68 patients with post-stroke dysphagia from January 2023 to December 2023,34 cases of swallowing training intervention were grouped as the control group,and 34 cases of electromyography biofeedback combined with swallowing training intervention were grouped as the study group,and the clinical therapeutic effects of the two groups of patients after receiving the two different modes of intervention were compared.Results:The swallowing function of patients in both groups improved,and the VFSS score of patients in the seminar group was significantly higher than that of the control group,indicating that the clinical efficacy of the seminar group was more significant.The nasal feeding tube extraction rate,extraction time,and quality of life scores of the seminar group were better than those of the control group(P<0.05),which is of research value.Conclusion:For patients with post-stroke dysphagia,treatment with electromyography biofeedback combined with swallowing training mode can significantly improve their swallowing function.This effective intervention can not only shorten the time for patients to remove the nasal feeding tube but also help to improve the quality of life of patients,which is worth using.
文摘This study analyzed the difference between using a downward breaststroke kick and a horizontal breaststroke kick in a sample of world class elite swimmers.We compared average muscle activity of the gluteus maximus,quadriceps femoris(vastus medialis and rectus femoris),hamstring/long head of the biceps femoris,gastrocnemius medialis,rectus abdominal,and erector spinae when using the downward breaststroke kick technique.We find that when this sample of swimmers utilized the downward breaststroke kick,max speed and velocity per stroke increased,measured by 12,788 EMG samples,where the results are highly correlated to duration of the aerodynamic buoyant force in breaststroke kick technique.The increases in performance observed from measuring the world class elite swimmers is highly correlated to the duration of the kick aerodynamic buoyant force.Among this sample of elite swimmers,the longer a swimmer demonstrates a buoyant force breaststroke kick,the lower the time in a 100 breaststroke.
文摘Surface Electromyography (EMG) is a standard method used in clinical practice and research to assess motor function in order to help with the diagnosis of neuromuscular pathology in human and animal models. EMG recorded from trunk muscles involved in the activity of breathing can be used as a direct measure of respiratory motor function in patients with spinal cord injury (SCI) or other disorders associated with motor control deficits. However, EMG potentials recorded from these muscles are often contaminated with heart-induced electrocardiographic (ECG) signals. Elimination of these artifacts plays a critical role in the precise measure of the respiratory muscle electrical activity. This study was undertaken to find an optimal approach to eliminate the ECG artifacts from EMG recordings. Conventional global filtering can be used to decrease the ECG-induced artifact. However, this method can alter the EMG signal and changes physiologically relevant information. We hypothesize that, unlike global filtering, localized removal of ECG artifacts will not change the original EMG signals. We develop an approach to remove the ECG artifacts without altering the amplitude and frequency components of the EMG signal by using an externally recorded ECG signal as a mask to locate areas of the ECG spikes within EMG data. These segments containing ECG spikes were decomposed into 128 sub-wavelets by a custom-scaled Morlet Wavelet Transform. The ECG-related subwavelets at the ECG spike location were removed and a de-noised EMG signal was reconstructed. Validity of the proposed method was proven using mathematical simulated synthetic signals and EMG obtained from SCI patients. We compare the Rootmean Square Error and the Relative Change in Variance between this method, global, notch and adaptive filters. The results show that the localized wavelet-based filtering has the benefit of not introducing error in the native EMG signal and accurately removing ECG artifacts from EMG signals.
文摘Objective To improve the lunctional occiusion afer orthognathic operation, the contractiiities of masseter, temporalis and digastric muscles were studied before and after surgery. Methods By means of integrated electromyogram (EMG), bioelectric potentials and EMG activities of these 3 muscles were recorded. ResuIts Signilicant decreases in bioelectric potentials and EMG activities belore and after surgery were observed in working muscles. No doflerence was noted in resting muscles. ConcIusion Postoperative malocclusion necessitates postoperative orthodontic treatment.
文摘Prophylactic and rehabilitative ankle training programs rarely incorporate ankle eversion exercises of the weight bearing leg during one-legged stand. Such training may be necessary for the optimal PL function and dynamic ankle control. In this study, we compared a PL exercise that involved eversion of the inverted ankle of a weight bearing leg against the heel lift (HL), a popular PL strengthening exercise. The PL activation patterns were studied in 20 university students (7 male and 13 female). The self-reported dominant legs of the subjects were tested in this study. After recording the surface electromyographic (EMG) activity level of their PL maximal voluntary isometric contractions (MVIC), the subjects performed HL, and ankle eversions of the weight bearing ankle during one-legged stand. Ankle eversions were initiated from two inverted ankle positions, 20 degree inversion (EV1) and 25 degree inversion (EV2). The ankle position and the PL muscle activity were recorded with an accelerometer affixed to the dorsum of the foot and a surface EMG electrode over PL respectively. The ranges of motion for HL, EV1, and EV2 were 25, 29, and 31 degrees respectively. Expressed as percentage of MVIC, the average normalized EMG linear envelopes for EV1 (73%) and EV2 (74%) were significantly greater than HL (64%). These results demonstrated that eversions of the inverted ankle of the weight bearing leg elicited stronger PL activation that may result in better lateral ankle strength and dynamic control. Incorporation of weight bearing ankle eversions may enhance effectiveness of PL exercise and balance.
文摘The detection of physiological signals from the motor system (electromyographic signals) is being utilized in the practice clinic to guide the therapist in a more precise and accurate diagnosis of motor disorders. In this context, the process of decomposition of EMG (electromyographic) signals that includes the identification and classification of MUAP (Motor Unit Action Potential) of a EMG signal, is very important to help the therapist in the evaluation of motor disorders. The EMG decomposition is a complex task due to EMG features depend on the electrode type (needle or surface), its placement related to the muscle, the contraction level and the health of the Neuromuscular System. To date, the majority of researches on EMG decomposition utilize EMG signals acquired by needle electrodes, due to their advantages in processing this type of signal. However, relatively few researches have been conducted using surface EMG signals. Thus, this article aims to contribute to the clinical practice by presenting a technique that permit the decomposition of surface EMG signal via the use of Hidden Markov Models. This process is supported by the use of differential evolution and spectral clustering techniques. The developed system presented coherent results in: (1) identification of the number of Motor Units actives in the EMG signal; (2) presentation of the morphological patterns of MUAPs in the EMG signal; (3) identification of the firing sequence of the Motor Units. The model proposed in this work is an advance in the research area of decomposition of surface EMG signals.
文摘This study is to investigate the changes of back muscle electromyography (EMG) in occupational low back pain (LBP) patients pre-and post-rehabilitation.20 occupational LBP patients were asked to perform sepcially designed symmetrical and asymmetrical actions,which include"carrying"weights up and down with a 45° left rotation.Back muscle EMG signals were recorded from surface of paraspinal muscles.The tests performed in the weeks immediately before and after 12-week rehabilitation treatment.The profile and mean power frequency (MPF) of EMG were compared between pre-and post-rehabilitation.EMG profiles showed unchangeable,but the MPF showed significantly increase in post-rehabilitation comparing to pre-rehabilitation.That suggested that the muscle activity strategies could not be modified by rehabilitation,but the rehabilitation would increase the threshold of fatigue and reduce the possible muscle pain in back paraspinal muscles.
基金supported by the Development of Sleep Disordered Breathing Detection and Auxiliary Regulation System Project(No.2019I1009)。
文摘The surface electromyography(sEMG)is one of the basic processing techniques to the gesture recognition because of its inherent advantages of easy collection and non-invasion.However,limited by feature extraction and classifier selection,the adaptability and accuracy of the conventional machine learning still need to promote with the increase of the input dimension and the number of output classifications.Moreover,due to the different characteristics of sEMG data and image data,the conventional convolutional neural network(CNN)have yet to fit sEMG signals.In this paper,a novel hybrid model combining CNN with the graph convolutional network(GCN)was constructed to improve the performance of the gesture recognition.Based on the characteristics of sEMG signal,GCN was introduced into the model through a joint voting network to extract the muscle synergy feature of the sEMG signal.Such strategy optimizes the structure and convolution kernel parameters of the residual network(ResNet)with the classification accuracy on the NinaPro DBl up to 90.07%.The experimental results and comparisons confirm the superiority of the proposed hybrid model for gesture recognition from the sEMG signals.