Investigation of the Relationship between the Motor Unit Number Estimate (MUNE) and the Mean Slope of the Stimulus-Response (SR) Curve of the Compound Muscle Action Potential (CMAP) Scan

The goal of this study is to elicit the relationship between the MUNE and the Mean Slope of the SR Curve of the CMAP Scan. Introduction: MUNE is used to diagnose and to monitor the Neuromuscular Disorders. CMAP Scan is a neurophysiological method based on the gradual stimulation of motor neurons and on recording their responses. As a result, a Stimulus-Response (SR) curve is plotted to study the progress of these diseases. In healthy subjects, SR curve is in the sigmoid form. As Motor Unit (MU) loss takes place, higher stimulus intensities are required in CMAP Scan. In addition, the shape of the SR curve becomes different form rather than sigmoid. This affects the slope of the SR curve. Therefore, a new more integrative variable called Mean Slope can be defined which might be correlated with MUNE. Material and Methods: Motor neuron groups including 5- to-300 axons were constituted via a simulation software and they were stimulated incrementally with currents from 0 to 99 mA. . The voltage differences were computed by using the CMAPs being the responses in the SR curve. The average of all slopes corresponding to each voltage differences was computed to find the Mean Slope. The correlation between MU number the Mean Slope was investigated statistically. Results and Discussion: The coefficient of determination and the Pearson correlation coefficient between MU number and the Mean Slope were found as 0.9974 and 0.999 respectively. A linear relationship between MU number and the Mean Slope was suggested. Conclusion and Recommendation: The mean slope can be taken into account as a new feature while building mathematical models for the MUNE methods. Besides, new variables in conjunction with the slope of the SR curve might be defined in future studies

Detection and conditioning of EMG

In this chapter, the monitoring of the electrical activity of skeletal muscles is depicted. The main components of the detection and conditioning of the EMG signals is explained in the sense of the biomedical instrumentation. But, first, a brief description of EMG generation is introduced. The hardware components of the general instrumentation system used in the acquisition of EMG signal such as amplifier, filters, analog-to-digital converter are discussed in detail. Subsequently, different types of electrodes used in different EMG techniques are mentioned. Then, various EMG signals that can be detected and monitored via EMG systems are described and their clinical importance is discussed with detail. Finally, different EMG techniques used in clinical studies and their purposes are explained with detail

İğne EMG’si ile Nöromüsküler Kavşak ve Tendon Kayıtlamalarında Nöromüsküler Hastalıkların Welch Yöntemi ile Sınıflandırılması

Artuğ, Tuğrul (Arel Author), Osman, Onur (Arel Author), Göker, İmran (Arel Author)In this study, the power spectral density of simulated data which contain neuromuscular diseases and normal motor unit (i.e. control group) scenarios was calculated using Welch's method. Furthermore, the effect of Welch's method on differential diagnosis was investigated. Data were recorded both near innervation zone which is the area that motor unit action potential occurs and near tendon. Multi-layer perceptron was preferred as artificial neural network to investigate the effect of method on classification. When the data from innervation zone and from tendon were applied separately to the ANN, 68.67% performance was obtained. The accuracy of the network was increased up to 76% when data were applied together

Tek Lif Elektromiyografisi Yoluyla Tendondan Kayıtlama ile Lif Çapı Deǧişkenliǧinin Elektriksel Aktiviteye Etkisinin Araştırılması

Medical Technologies National Conference (TIPTEKNO) --OCT 15-18, 2015 -- Bodrum, TURKEYWOS: 000380505200107In this preliminary study, two muscle fibers which one of them had a constant fiber diameter and the other had a variable fiber diameter were created by using an EMG simulator. Single Muscle Fiber Action Potentials (SMFAPs) were recorded either from the vicinity of the neuromuscular junction or near the tendon. It was intended to reveal the relationship between the time dispersions of these electrical activities and the differences of muscle fiber diameters. Hence it is considered that the the difference between the diameters of muscle fibers contributing to these electrical activities can be estimated

Nöromüsküler Hastalıkların Kavşak ve Tendon Kayıtlarında Spektrogramlarına Göre Sınıflandırılması

Artuğ, Tuğrul (Arel Author), Göker, İmran (Arel Author), Osman, Onur (Arel Author)In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. Multi-layer perceptron is chosen as classifier. If only the neuromuscular junction records are applied to the network, the performance is 73.33%. If only tendon records are applied to the input of network, the performance is 94.67%. When neuromuscular junction and tendon records are applied together to the network, the performance is 100%. ÖZET- Bu çalışmada EMG Simulator v3.6 ile oluşturulan normal, nörojenik ve miyopatik motor üniteler için nöromüsküler kavşak ve tendon kayıtlarında spektrogramlarının ayırıcı tanıya etkisi araştırılmıştır. Çok katmanlı algılayıcı sınıflayıcı olarak seçilmiştir. Sadece kavşaktan alınan veriler ağa uygulandığında başarı %73.33’tür. Sadece tendon verileri girişten uygulandığında ise başarı %94.67’dir. Kavşak ve tendon verileri beraber ağa uygulandığında %100 başarı elde edilmiştir

Classification of Neuromuscular Diseases in Neuromuscular Junction and Tendon Recordings with Needle EMG by Using Welch's Method

In this study, the power spectral density of simulated data which contain neuromuscular diseases and normal motor unit (i.e. control group) scenarios was calculated using Welch's method. Furthermore, the effect of Welch's method on differential diagnosis was investigated. Data were recorded both near innervation zone which is the area that motor unit action potential occurs and near tendon. Multi-layer perceptron was preferred as artificial neural network to investigate the effect of method on classification. When the data from innervation zone and from tendon were applied separately to the ANN, 68.67% performance was obtained. The accuracy of the network was increased up to 76% when data were applied together