OBJECTIVE: To determine the midpoint (MD) of extensor hallucis longus muscle (EHL) and compare the accuracy of different needle electromyography (EMG) insertion techniques through cadaver dissection. METHODS: Thirty-eight limbs of 19 cadavers were dissected. The MD of EHL was marked at the middle of the musculotendinous junction and proximal origin of EHL. Three different needle insertion points of EHL were marked following three different textbooks: M1, 3 fingerbreadths above bimalleolar line (BML); M2, junction between the middle and lower third of tibia; M3, 15 cm proximal to the lower border of both malleoli. The distance from BML to MD (BML_MD), and the difference between 3 different points (M1-3) and MD were measured (designated D1, D2, and D3, respectively). The lower leg length (LL) was measured from BML to top of medial condyle of tibia. RESULTS: The median value of LL was 34.5 cm and BML_MD was 12.0 cm. The percentage of BML_MD to LL was 35.1%. D1, D2, and D3 were 7.0, 0.9, and 3.0 cm, respectively. D2 was the shortest, meaning needle placement following technique by Lee and DeLisa was closest to the actual midpoint of EHL. CONCLUSION: The MD of EHL is approximately 12 cm above BML, and about distal 35% of lower leg length. Technique that recommends placing the needle at distal two-thirds of the lower leg (M2) is the most accurate method since the point was closest to muscle belly of EHL.
Cadaver* ; Electromyography ; Extremities ; Leg ; Methods ; Needles* ; Tibia

Sensory conflict impacts postural control, yet its effect on cortico-muscular interaction remains underexplored. We aimed to investigate sensory conflict's influence on the cortico-muscular network and postural stability. We used a rotating platform and virtual reality to present subjects with congruent and incongruent sensory input, recorded EEG (electroencephalogram) and EMG (electromyogram) data, and constructed a directed connectivity network. The results suggest that, compared to sensory congruence, during sensory conflict: (1) connectivity among the sensorimotor, visual, and posterior parietal cortex generally decreases, (2) cortical control over the muscles is weakened, (3) feedback from muscles to the cortex is strengthened, and (4) the range of body sway increases and its complexity decreases. These results underline the intricate effects of sensory conflict on cortico-muscular networks. During the sensory conflict, the brain adaptively decreases the integration of conflicting information. Without this integrated information, cortical control over muscles may be lessened, whereas the muscle feedback may be enhanced in compensation.
Humans ; Muscle, Skeletal ; Electromyography/methods* ; Electroencephalography/methods* ; Brain ; Brain Mapping

The detection and analysis of electromyographic signal is of far reaching importance for clinical diagnosis as well as for convalescence medicine. Electromyographic signal is a kind of biological signal in the background full of noise, so it is somewhat difficult to detect and extract the electromyographic signal. In this paper is discussed how to use the method of wavelet package transform to denoise the electromyographic signal on the basis of its feature and its relationship with noise. The results of simulation and application in the Electromyographic Evoked Potential Measuring System independently developed by our laboratory illuminate that the method is effective for denoising electromyographic signal.
Algorithms ; Bionics ; Electromyography ; methods ; Humans ; Signal Processing, Computer-Assisted

Arrhythmias, Cardiac ; physiopathology ; Electromyography ; methods ; Female ; Humans ; Infant, Newborn ; Male

Biopsy ; methods ; Electromyography ; Humans ; Muscles ; pathology ; Polyneuropathies ; diagnosis

AIMIn order to decrease the destruction on the intestine wall, increase the same pace of the recording electric and mechanic activity and make the method simple during recording of intestine activity.

METHODSSilver ball electrode was held upon the strain gauge plate by silica gel which was a 2 mm 5 mm 9 mm recording device to be sewed only through the four corner point on to the intestine.

RESULTS AND CONCLUSIONIt had little destruction on the intestine and was more easy and the recording electric activity was in almost the same pace of the motion.

At present, fatigue state monitoring of upper limb movement generally relies solely on surface electromyographic signal (sEMG) to identify and classify fatigue, resulting in unstable results and certain limitations. This paper introduces the sEMG signal recognition and motion capture technology into the fatigue state monitoring process and proposes a fatigue analysis method combining an improved EMG fatigue threshold algorithm and biomechanical analysis. In this study, the right upper limb load elbow flexion test was used to simultaneously collect the biceps brachii sEMG signal and upper limb motion capture data, and at the same time the Borg Fatigue Subjective and Self-awareness Scale were used to record the fatigue feelings of the subjects. Then, the fatigue analysis method combining the EMG fatigue threshold algorithm and the biomechanical analysis was combined with four single types: mean power frequency (MPF), spectral moments ratio (SMR), fuzzy approximate entropy (fApEn) and Lempel-Ziv complexity (LZC). The test results of the evaluation index fatigue evaluation method were compared. The test results show that the method in this paper has a recognition rate of 98.6% for the overall fatigue state and 97%, 100%, and 99% for the three states of ease, transition and fatigue, which are more advantageous than other methods. The research results of this paper prove that the method in this paper can effectively prevent secondary injury caused by overtraining during upper limb exercises, and is of great significance for fatigue monitoring.
Electromyography/methods* ; Fatigue ; Humans ; Muscle Fatigue ; Muscle, Skeletal ; Upper Extremity

There was a development of the diagnostic aids such as electromyography, discography, epidural venography, myelography, and CT in lumbar disc herniation. In 1984, Edgardo et al. described that the diagnosis of unusual extreme lateral disc herniation might be suggested by CT, but the diagnosis was made more certain with CT done after discography. Also, in 1986, Michael et al. reported,that the addition of CT to lumbar discography could help the clinician to obtain an anatomically valid diagnosis in people who, in spite of prior negative diagnosis evaluation, continue with significant clinical symptoms of low back pain and sciatica. The authors have studied 25 cases of CT after discography from July 1984 to June 1987. The results were as follows;1) CT after discography, which was a diagnostic method of direct visualization of nucleus pulposus herniation, shown same finding as previous CT in 16 cases and more accurate finding of herniated site snd size in 2 cases. 2) In one csse, the diagnosis of extreme lateral disc herniation, which was suggested by previous CT, made more certain with CT after discography. 3) There was false negative in 6 cases.
Diagnosis ; Electromyography ; Low Back Pain ; Methods ; Myelography ; Phlebography ; Sciatica

OBJECTIVES: This study investigates the effects of using customized walking aids individualized for stroke patients by measuring the effects of different cane lengths to determine the ideal length of walking aids for stroke patients. METHODS: Cane lengths were determined from the greater trochanter with walking aids measured 5cm below, at the greater trochanter and 5cm above. All patients walked for ten meters with each cane length to measure speed. Then, we measured the opto gait, timed up go test, and electromyography three times each. Statistical analysis was performed using a linear mixed model, and in the case of significance, the p-value was corrected using the Bonferroni method. RESULTS: There was a statistically significant differences in time up and go test(TUGT), 10m walking, stride and speed between the groups. CONCLUSIONS: Long cane length increases body symmetry, stride, increasing muscle activity, and short cane length increases balance and walking.
Canes* ; Cerebrovascular Disorders ; Electromyography ; Femur ; Gait ; Humans ; Methods ; Stroke* ; Walking*

Diaphragmatic electromyographic (EMGdi) signal is a weak biological signal, which contains some significant physiological information of our body respiration system and is susceptible to strong electrocardiography (ECG) signal interference. Based on wavelet transform and theory of information entropy, a new wavelet energy entropy threshold algorithm to remove ECG interference is proposed in this paper. On the base of analysis of wavelet coefficients of each scale, the method sees the information of each scale as a single signal source, equalizes it byzones, and then divides the energy entropy into two categories (i. e., high energy entropy and low energy entropy) through the distribution characteristics of energy entropy of each zone to conduct absolute mean value threshold. In addition, the denoised signal is reconstructed by wavelet coefficients processed. The experimental results showed that the method removed the ECG signal in EMGdi effectively and reserved the available characteristics of EMGdi better.
Algorithms ; Artifacts ; Diaphragm ; physiology ; Electrocardiography ; methods ; Electromyography ; methods ; Entropy ; Humans ; Signal Processing, Computer-Assisted ; Wavelet Analysis