Fully automated F-wave corridor extraction and analysis algorithm for F-wave analyses and MUNE studies

Abstract F-waves are used in motor unit number estimation (MUNE) studies, which require rapid dedicated software to perform calculations. The aim of this study is to define a mathematical method for a fully automated F-wave extraction algorithm to perform F-wave and MUNE studies while performing baseline corrections without distorting traces. Ten recordings from each class, such as healthy controls, polio patients and ALS patients, were included. Submaximal stimuli were applied to the median and ulnar nerves to record 300 traces from the abductor pollicis brevis and abductor digiti minimi muscles. The autocorrelation function and the signal of sum of all traces were used to find the location for the maximum amplitude of the F-waves. F-waves were revealed by using a cutting window. Linear line estimation was preferred for baseline corrections because it did not cause any distortion in the traces. The algorithm automatically revealed F-waves from all 30 recordings in accordance with the locations marked by a neurophysiologist. The execution of the algorithm was less than 2 (usually < 1) minutes when 300 traces were analyzed. Mean sMUP amplitudes and MUNE values are important for differentiating healthy controls from patients. Moreover, F-wave parameters belonging to polio patients on whom there was a relatively low number of studies conducted were also evaluated

A preliminary study for remote healthcare system: Activity classification for elder people with on body sensors

6th International Conference on Control Engineering and Information Technology, CEIT 2018 -- 25 October 2018 through 27 October 2018 --Development of intelligent care system for elder people have been investigated in recent years. In this study, to detect emergency situations for elder people, activity classification was aimed using on body sensor data. Multi-layer perceptron, radial basis function networks, k- nearest neighbor and support vector machines were used in classification. In feature selection process principal component analysis and ReliefF were used. Accuracy of classification was above 85% for every classifier and the best performance was acquired with 3-NN with 99.8% accuracy. When feature selection was applied 5- NN was showed the highest performance with 99.4%. This study shows that it is possible to develop remote care system by using sensors and classifiers for a more secure life for elder people. © 2018 IEEE

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

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

Jitter Ölçümünde Önemli Bir Gösterge: Ardışık Bloklar

Nöromüsküler hastalıklar sinirden kasa iletimi etkilerler. Eğer bir sinir uyartı eşik değerinden daha yüksek bir uyartı ile uyarılırsa aksiyon potansiyeli üretilir. Sinirden kasa doğru aksiyon potansiyelinin iletimi 0.5 ile 1 ms arasında bir zaman almaktadır. Bu zaman uyarıdan uyarıya değişmektedir ve bu değişintiye “Jitter” adı verilir. Ardışık sinir uyartımına karşılık üretilen yanıt uyartı ile birlikte tek lif EMG elektrodu ile kaydedilir. Bazı ülkelerdeki kısıtlamalardan dolayı tek kullanımlık konsantrik elektrot da jitter ölçümü için kullanılmaktadır. Zaman zaman kayıtlarda sinir uyartımına karşılık yanıt alınamaz ve bloklar gözlemlenir. Ardışık uyarıya karşılık hasta kayıtlarında blokları görmek mümkündür. Bu çalışmada 13 katılımcıdan konsantrik iğne elektrodu kullanarak her oturumda 100 sinyal kaydedilmiştir ve geliştirilen yazılım ile bu kayıtlar analiz edilmiştir. Bu yazılımla, jitter değeri ve blok sayısı hesaplanabilirken, ardışık bloklar da gösterilebilmektedir. Sağlıklı bireylerde hiç blok görülmemiştir fakat miyasteni gravis hastalarında yüksek miktarda blok ve ardışık blok grubu görülmüştür. Blok sayısındaki artma ve ardışık blok gruplarındaki artışın hastalığın ciddiyeti konusunda bir gösterge olacağı öngörülmüştür

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

Estimation of the muscle fiber density from the motor unit action potential

A space $X$ has a $mathbb{Q}$-diagonal if $X^2 setminus Delta$ has a $mathcal{K}( mathbb{Q})$-directed compact cover. We show that any compact space with a $mathbb{Q}$-diagonal is metrizable, hence any Tychonorff space with a $mathbb{Q}$-diagonal is cosmic. These give a positive answer to Problem 4.2 and Problem 4.8 in cite{COT11} raised by Cascales, Orihuela and Tkachuk

Nöromüsküler hastalıkların tanısına yönelik yeni özniteliklerin belirlenmesi

#nofulltext# --- Artuğ, Tuğrul (Arel Author), Osman, Onur (Arel Author), Göker, İmran (Arel Author) --- Conference: TıpTekno'2013 Tıp Teknolojileri Ulusal Kongresi, Antalya, 31 Ekim- 2 Kasım 2013.