Statistical methods for electromyography data and associated problems

This thesis proposes three novel models which extend the statistical methodology for motor unit number estimation, a clinical neurology technique. Motor unit number estimation is important in the treatment of degenerative muscular diseases and, potentially, spinal injury. Additionally, a recent and untested statistic to enable statistical model choice is found to be a practical alternative for larger datasets. The existing methods for dose finding in dual-agent clinical trials are found to be suitable only for designs of modest dimensions. The model choice case-study is the first of its kind containing interesting results using so-called unit information prior distributions.

The effects of ageing and exercise on skeletal muscle structure and function

Musculoskeletal ageing is associated with profound morphological and functional changes that increase fall risk and disease incidence and is characterised by age-related reductions in motor unit number and atrophy of muscle fibres, particularly type II fibres. Decrements in functional strength and power are relatively modest until the 6th decade, after which the rate of loss exponentially accelerates, particularly beyond the 8th decade of life. Physical activity is a therapeutic modality that can significantly attenuate age-related decline. The underlying signature of ageing, as manifested by perturbed redox homeostasis, leads to a blunting of acute and chronic redox regulated exercise adaptations. Impaired redox regulated exercise adaptations are mechanistically related to altered exercise-induced reactive oxygen and nitrogen species generation and a resultant failure to properly activate redox regulated signaling cascades. Despite the aforementioned specific impairment in redox signaling, exercise induces a plethora of beneficial effects, irrespective of age. There is, therefore, strong evidence for promoting regular physical exercise, especially progressive resistance training as a lifelong habitual practice.

Common input to different regions of biceps brachii long head

The purpose of the experiment was to compare the level of synchronization exhibited by pairs of motor units located within and between functionally distinct regions of the biceps brachii muscle. Pairs of single motor units were recorded from seven subjects using separate electrodes located in the lateral and medial aspects of the long head of biceps brachii. Participants were required to exert a combination of flexion and supination torques so that both motor units discharged at approximately 10 pps for a parts per thousand yen200 s and the level of motor unit synchronization could be quantified. When motor unit recordings were sufficiently stable at the completion of this synchrony task, a series of ramp contractions with multiple combinations of flexion and supination torques were performed to characterize the recruitment thresholds of the motor units. Common input strength (CIS) was significantly greater (P <0.01) for the within-region pairs of motor units (0.28 extra sync. imps/s, n = 26) than for the between-region pairs (0.13 extra sync. imps/s, n = 18), but did not differ significantly for the 12 within-region pairs from the lateral head and 14 from the medial head (0.27 vs. 0.29 extra sync. imps/s; P = 0.83). Recruitment thresholds were measured for 33 motor units, but there was only a weak association between CIS and the respective recruitment patterns for motor unit pairs (n = 9). The present investigation provides evidence of a differential distribution of synaptic input across the biceps brachii motor neuron pool, but this appears to have minimal association with the recruitment patterns for individual motor units.

Effects of isometric elbow flexion on electromyographic spike analysis

The main objective of this research was to examine the relationship between surface electromyographic (SEMG) spike activity and force. The secondary objective was to determine to what extent subcutaneous tissue impacts the high frequency component of the signal, as well as, examining the relationship between measures of SEMG spike shape and their traditional time and frequency analogues. A total of96 participants (46 males and 50 females) ranging in age (18-35 years), generated three 5-second isometric step contractions at each force level of 40, 60, 80, and 100 percent of maximal voluntary contraction (MVC). The presentation of the contractions was balanced across subjects. The right arm of the subject was positioned in the sagittal plane, with the shoulder and elbow flexed to 90 degrees. The elbow rested on a support in a neutral position (mid pronation/mid supination) and placed within a wrist cuff, fastened below the styloid process. The wrist cuff was attached to a load cell (JR3 Inc., Woodland, CA) recording the force produced. Biceps brachii activity was monitored with a pair of Ag/AgCI recording electrodes (Grass F-E9, Astro-Med Inc., West Warwick, RI) placed in a bipolar configuration, with an interelectrode distance (lED) of 2cm distal to the motor point. Data analysis was performed on a I second window of data in the middle of the 5-second contraction. The results indicated that all spike shape measures exhibited significant (p < 0.01) differences as force increase~ from 40 to 100% MVC. The spike shape measures suggest that increased motor unit (MU) recruitment was responsible for increasing force up to 80% MVC. The results suggested that further increases in force relied on MU III synchronization. The results also revealed that the subcutaneous tissue (skin fold thickness) had no relationship (r = 0.02; P > 0.05) with the mean number of peaks per spike (MNPPS), which was the high frequency component of the signal. Mean spike amplitude (MSA) and mean spike frequency (MSF) were highly correlated with their traditional measures root mean square (RMS) and mean power frequency (MPF), respectively (r = 0.99; r = 0.97; P < 0.01).

Relationship between Surface and Indwelling EMG Spike Shape Measures

Indwelling electromyography (EMG) has great diagnostic value but its invasive and often painful characteristics make it inappropriate for monitoring human movement. Spike shape analysis of the surface electromyographic signal responds to the call for non-invasive EMG measures for monitoring human movement and detecting neuromuscular disorders. The present study analyzed the relationship between surface and indwelling EMG interference patterns. Twenty four males and twenty four females performed three isometric dorsiflexion contractions at five force levels from 20% to maximal force. The amplitude measures increased differently between electrode types, attributed to the electrode sensitivity. The frequency measures were different between traditional and spike shape measures due to different noise rejection criteria. These measures were also different between surface and indwelling EMG due to the low-pass tissue filtering effect. The spike shape measures, thought to collectively function as a means to differentiate between motor unit characteristics, changed independent of one another.

Altérations synaptiques à la jonction neuromusculaire dans un modèle murin de sclérose latérale amyotrophique

La sclérose latérale amyotrophique est une maladie neurodégénérative fatale caractérisée par la dégénérescence progressive des neurones moteurs centraux et périphériques. L’un des premiers signes de la maladie est la dénervation de la jonction neuromusculaire (JNM). Les diverses unités motrices (UM) ne présentent toutefois pas la même vulnérabilité à la dénervation dans la SLA: les UM rapide fatigables sont en fait les plus vulnérables et les UM lentes sont les plus résistantes. Alors que des études précédentes ont démontré dans plusieurs modèles animaux de la SLA de nombreuses variations synaptiques, les découvertes ont été contradictoires. Par ailleurs, le type d’UM n’a pas été tenu en compte dans ces divers travaux. Nous avons donc émis l’hypothèse que la présence de la mutation SOD1 pourrait affecter différemment la transmission synaptique des UM, en accord avec leur vulnérabilité sélective. En effectuant des enregistrements électrophysiologiques et de l’immunohistochimie, nous avons étudié la transmission synaptique des différents types d’UM du muscle à contraction rapide Extensor Digitorum Longus (EDL; rapide fatigable (FF) MU) et du muscle à contraction lente Soleus (SOL; lente (S) and rapide fatigue-résistante (FR) MU) de la souris SOD1G37R et leur congénères WT. Pour identifier le type d’UM, un marquage par immunohistochimie des chaînes de myosine a été effectué. Un triple marquage de la JNM a également été effectué pour vérifier son intégrité aux différents stades de la maladie. À P160, dans la période asymptomatique de la maladie, alors qu’aucune altération morphologique n’était présente, l’activité évoquée était déjà altérée différemment en fonction des UM. Les JNMs FF mutantes ont démontré une diminution de l’amplitude des potentiels de plaque motrice (PPM) et du contenu quantique, alors que les JNMs lentes démontraient pratiquement le contraire. Les JNMs FR montraient quant à elles une force synaptique semblable au WT. À P380, dans la période présymtomatique, de nombreuses altérations morphologiques ont été observées dans le muscle EDL, incluant la dénervation complète, l’innervation partielle et les extensions du nerf. La transmission synaptique évoquée des UM FF étaient toujours réduites, de même que la fréquence des potentiels de plaque motrice miniatures. À P425, à l’apparition des premiers symptômes, l’activité synaptique des JNMs S était redevenue normale alors que les JNMs FR ont montré à ce moment une diminution du contenu quantique par rapport au contrôle. De manière surprenante, aucun changement du ratio de facilitation n’a été observé malgré les changements flagrants de la force synaptique. Ces résultats révèlent que la fonction de la JNM est modifiée différemment en fonction de la susceptibilité des UM dans l’ALS. Cette étude fournit des pistes pour une meilleure compréhension de la physiologie de la JNM durant la pathologie qui est cruciale au développement d’une thérapie adéquate ciblant la JNM dans la SLA.

Utilidad de la electromiografía de esfínter anal en el diagnóstico diferencial de la atrofia multisistémica: una revisión de la literatura

La atrofia multisistémica (AMS) es una enfermedad degenerativa caracterizada por disautonomías y síntomas extrapiramidales. El diagnóstico diferencial con otros parkinsonismos es difícil, por lo cual se requiere una ayuda paraclínica para soportar el diagnóstico clínico. La degeneración del núcleo de Onuf, exclusiva en esta enfermedad, podría sugerir que la presencia de denervación en el esfínter anal podría ser tomada en cuenta como criterio diagnóstico de AMS. Se realizó una revisión sistemática con el fin de determinar la utilidad de la electromiografía de esfínter anal (EMG-EA) en el diagnóstico diferencial de AMS contra otros parkinsonismos. Se incluyeron 17 estudios que analizaron los resultados de EMG-EA en pacientes con AMS. De éstos, 11 de estudios fueron analíticos y compararon pacientes con AMS y otros parkinsonismos. Los 6 estudios restantes fueron descriptivos. La duración de los potenciales de unidad motora (PUM) es significativamente mayor en pacientes con AMS comparados con otros parkinsonismos, y utilizando un punto de corte > 13 ms muestra características operativas que hacen a este parámetro potencialmente útil. Solo un estudio encontró diferencias significativas en el porcentaje de PUM polifásicos, el cual tuvo una sensibilidad y especificidad clínicamente útil cuando el punto de corte es mayor a 60%. El resto de los estudios no reportan diferencias estadísticamente significativas entre parkinsonismos. La literatura disponible apunta a la potencial utilidad de la EMG-EA en el diagnóstico diferencial de la AMS de otros parkinsonismos; sin embargo es necesario conducir más estudios para solventar las limitaciones metodológicas existentes.

The application of the Hilbert spectrum to the analysis of electromyographic signals

This paper investigates the application of the Hilbert spectrum (HS), which is a recent tool for the analysis of nonlinear and nonstationary time-series, to the study of electromyographic (EMG) signals. The HS allows for the visualization of the energy of signals through a joint time-frequency representation. In this work we illustrate the use of the HS in two distinct applications. The first is for feature extraction from EMG signals. Our results showed that the instantaneous mean frequency (IMNF) estimated from the HS is a relevant feature to clinical practice. We found that the median of the IMNF reduces when the force level of the muscle contraction increases. In the second application we investigated the use of the HS for detection of motor unit action potentials (MUAPs). The detection of MUAPs is a basic step in EMG decomposition tools, which provide relevant information about the neuromuscular system through the morphology and firing time of MUAPs. We compared, visually, how MUAP activity is perceived on the HS with visualizations provided by some traditional (e.g. scalogram, spectrogram, Wigner-Ville) time-frequency distributions. Furthermore, an alternative visualization to the HS, for detection of MUAPs, is proposed and compared to a similar approach based on the continuous wavelet transform (CWT). Our results showed that both the proposed technique and the CWT allowed for a clear visualization of MUAP activity on the time-frequency distributions, whereas results obtained with the HS were the most difficult to interpret as they were extremely affected by spurious energy activity. (c) 2008 Elsevier Inc. All rights reserved.

Thought communication and control: a first step using radiotelegraphy

A signalling procedure is described involving a connection, via the Internet, between the nervous system of an able-bodied individual and a robotic prosthesis, and between the nervous systems of two able-bodied human subjects. Neural implant technology is used to directly interface each nervous system with a computer. Neural motor unit and sensory receptor recordings are processed real-time and used as the communication basis. This is seen as a first step towards thought communication, in which the neural implants would be positioned in the central nervous systems of two individuals.

Simulation of a diffusion driven mobile robot

In this paper, we investigate the possibility to control a mobile robot via a sensory-motory coupling utilizing diffusion system. For this purpose, we implemented a simulation of the diffusion process of chemicals and the kinematics of the mobile robot. In comparison to the original Braitenberg vehicle in which sensorymotor coupling is tightly realised by hardwiring, our system employs the soft coupling. The mobile robot has two sets of independent sensory-motor unit, two sensors are implemented in front and two motors on each side of the robot. The framework used for the sensory-motor coupling was such that 1) Place two electrodes in the medium 2) Drop a certain amount of Chemical U and V related to the distance to the walls and the intensity of the light 3) Place other two electrodes in the medium 4) Measure the concentration of Chemical U and V to actuate the motors on both sides of the robot. The environment was constructed with four surrounding walls and a light source located at the center. Depending on the design parameters and initial conditions, the robot was able to successfully avoid the wall and light. More interestingly, the diffusion process in the sensory-motor coupling provided the robot with a simple form of memory which would not have been possible with a control framework based on a hard-wired electric circuit.

Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control

Cerebral palsy (CP) includes a broad range of disorders, which can result in impairment of posture and movement control. Brain-computer interfaces (BCIs) have been proposed as assistive devices for individuals with CP. Better understanding of the neural processing underlying motor control in affected individuals could lead to more targeted BCI rehabilitation and treatment options. We have explored well-known neural correlates of movement, including event-related desynchronization (ERD), phase synchrony, and a recently-introduced measure of phase dynamics, in participants with CP and healthy control participants. Although present, significantly less ERD and phase locking were found in the group with CP. Additionally, inter-group differences in phase dynamics were also significant. Taken together these findings suggest that users with CP exhibit lower levels of motor cortex activation during motor imagery, as reflected in lower levels of ongoing mu suppression and less functional connectivity. These differences indicate that development of BCIs for individuals with CP may pose additional challenges beyond those faced in providing BCIs to healthy individuals.

Decomposition of surface electromyographic signal using Hidden Markov Model

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.

Laryngeal electromyography in normal Brazilian population

Quantitative analysis of normal values of motor unit action potentials duration and amplitude of muscles tireoaritenoideus (TA), cricotireoideus (CT), cricoaritenoideus lateralis (CAL), and cricoaritenoideus posterioris (CAP) was performed in 14 adult normal Brazilian volunteers. The recordings were obtained by percutaneously inserted concentric needle electrode. Different motor unit action potentials were manually selected in each muscle for quantitative computerized analysis of duration and amplitude. The mean values for duration and amplitude were respectively 3.8 ms and 413 μV for TA, 4.9 ms and 585 μV for CT, 4.1 ms and 388 μV for CAL and 4.5 ms and 475 μV in CAP. There were no similar reports of normal values of motor unit action potentials in Brazilian subjects.