A biosignal embedded system for physiological computing

Thesis submitted in the fulfilment of the requirements for the Degree of Master in Electronic and Telecomunications Engineering

Coherence and phase locking disruption in electromyograms of patients with amyotrophic lateral sclerosis

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Altered Sleep Homeostasis in Rev-erbα Knockout Mice.

STUDY OBJECTIVES: The nuclear receptor REV-ERBα is a potent, constitutive transcriptional repressor critical for the regulation of key circadian and metabolic genes. Recently, REV-ERBα's involvement in learning, neurogenesis, mood, and dopamine turnover was demonstrated suggesting a specific role in central nervous system functioning. We have previously shown that the brain expression of several core clock genes, including Rev-erbα, is modulated by sleep loss. We here test the consequences of a loss of REV-ERBα on the homeostatic regulation of sleep. METHODS: EEG/EMG signals were recorded in Rev-erbα knockout (KO) mice and their wild type (WT) littermates during baseline, sleep deprivation, and recovery. Cortical gene expression measurements after sleep deprivation were contrasted to baseline. RESULTS: Although baseline sleep/wake duration was remarkably similar, KO mice showed an advance of the sleep/wake distribution relative to the light-dark cycle. After sleep onset in baseline and after sleep deprivation, both EEG delta power (1-4 Hz) and sleep consolidation were reduced in KO mice indicating a slower increase of homeostatic sleep need during wakefulness. This slower increase might relate to the smaller increase in theta and gamma power observed in the waking EEG prior to sleep onset under both conditions. Indeed, the increased theta activity during wakefulness predicted delta power in subsequent NREM sleep. Lack of Rev-erbα increased Bmal1, Npas2, Clock, and Fabp7 expression, confirming the direct regulation of these genes by REV-ERBα also in the brain. CONCLUSIONS: Our results add further proof to the notion that clock genes are involved in sleep homeostasis. Because accumulating evidence directly links REV-ERBα to dopamine signaling the altered homeostatic regulation of sleep reported here are discussed in that context.

A simple test of muscle coactivation estimation using electromyography

In numerous motor tasks, muscles around a joint act coactively to generate opposite torques. A variety of indexes based on electromyography signals have been presented in the literature to quantify muscle coactivation. However, it is not known how to estimate it reliably using such indexes. The goal of this study was to test the reliability of the estimation of muscle coactivation using electromyography. Isometric coactivation was obtained at various muscle activation levels. For this task, any coactivation measurement/index should present the maximal score (100% of coactivation). Two coactivation indexes were applied. In the first, the antagonistic muscle activity (the lower electromyographic signal between two muscles that generate opposite joint torques) is divided by the mean between the agonistic and antagonistic muscle activations. In the second, the ratio between antagonistic and agonistic muscle activation is calculated. Moreover, we computed these indexes considering different electromyographic amplitude normalization procedures. It was found that the first algorithm, with all signals normalized by their respective maximal voluntary coactivation, generates the index closest to the true value (100%), reaching 92 ± 6%. In contrast, the coactivation index value was 82 ± 12% when the second algorithm was applied and the electromyographic signal was not normalized (P < 0.04). The new finding of the present study is that muscle coactivation is more reliably estimated if the EMG signals are normalized by their respective maximal voluntary contraction obtained during maximal coactivation prior to dividing the antagonistic muscle activity by the mean between the agonistic and antagonistic muscle activations.

Study on the activation of the biceps brachii compartments in normal subjects

Les prothèses myoélectriques modernes peuvent être dotées de plusieurs degrés de liberté ce qui nécessite plusieurs signaux musculaires pour en exploiter pleinement les capacités. Pour obtenir plus de signaux, il nous a semblé prometteur d'expérimenter si les 6 compartiments du biceps brachial pouvaient être mis sous tension de façon volontaire et obtenir ainsi 6 signaux de contrôle au lieu d'un seul comme actuellement. Des expériences ont donc été réalisées avec 10 sujets normaux. Des matrices d'électrodes ont été placées en surface au-dessus du chef court et long du biceps pour recueillir les signaux électromyographiques (EMG) générés par le muscle lors de contractions effectuées alors que les sujets étaient soit assis, le coude droit fléchi ~ 100 ° ou debout avec le bras droit tendu à l'horizontale dans le plan coronal (sur le côté). Dans ces deux positions, la main était soit en supination, soit en position neutre, soit en pronation. L'amplitude des signaux captés au-dessus du chef court du muscle a été comparée à ceux obtenus à partir du chef long. Pour visualiser la forme du biceps sous les électrodes l'imagerie ultrasonore a été utilisée. En fonction de la tâche à accomplir, l'activité EMG a était plus importante soit dans un chef ou dans l'autre. Le fait de pouvoir activer préférentiellement l'un des 2 chefs du biceps, même si ce n'est pas encore de façon complètement indépendante, suggère que l'utilisation sélective des compartiments pourrait être une avenue possible pour faciliter le contrôle des prothèses myoélectriques du membre supérieur.

Back muscles activity and scoliosis in ataxic and dystrophic patients

To investigate the role of muscles in the development of adolescent idiopathic scoliosis (AIS), our group was initially interested in Duchenne muscular dystrophy (DMD) diseases where a muscular degeneration often leads to scoliosis. Few years ago the studies with those patients provided interesting results but were obtained only from few patients. To increase that number, the present project was initiated but recruitment of new DMD patients from Marie-Enfant hospital was found impossible. As an alternative, patients with Friedreich’s ataxia (FA) were recruited since they also suffer from a muscular deficiency which often induces a scoliosis. So, 4 FA patients and 4 healthy controls have been chosen to closely match the age, weight and body mass indexes (BMI) of the patients were enrolled in our experiments. As in the previous study, electromyography (EMG) activity of paraspinal muscles were recorded on each side of the spine during three types of contraction at 2 different maximum voluntary contractions (MVC). Moreover, the volume and skinfold thickness of these muscles were determined from ultrasound images (US) in order to facilitate the interpretation of EMG signals recorded on the skin surface. For the 3 FA right scoliotic patients, EMG activity was most of the time larger on the concave side of the deviation. The opposite was found for the 4th one (P4, left scoliosis, 32°) for whom EMG activity was larger on the convex side; it should however be noted that all his signals were of small amplitude. This was associated to a muscle weakness and a large skinfold thickness (12 mm) vs 7 mm for the 3 others. As for the paraspinal muscle volume, it was present on the convex side of P1, P3 and P4 and on the concave side for P2. As for skinfold thickness over this muscle, it was larger on the concave side for P1 and P2 and the opposite for P3 and P4. At the apex of each curve, the volume and skinfold thickness differences were the largest. Although the study covers only a small number of FA patients, the presence of larger EMG signals on the concave side of a spinal deformation is similar to pre-scoliotic DMD patients for whom the deformation is in its initial stage. It thus seems that our FA patients with more EMG activity on their concave side could see progression of their spinal deformation in the coming months in spite of their already important Cobb angle.

Proposition de combinaisons optimales de contractions volontaires maximales isométriques pour la normalisation de 12 muscles de l'épaule

Afin d’être représentatif d’un niveau d’effort musculaire, le signal électromyographique (EMG) est exprimé par rapport à une valeur d’activation maximale. Comme l’épaule est une structure articulaire et musculaire complexe, aucune contraction volontaire isométrique (CVMi) proposée dans la littérature ne permet d’activer maximalement un même muscle de l’épaule pour un groupe d’individus. L’objectif de ce mémoire est de développer une approche statistique permettant de déterminer les CVMi optimales afin de maximiser les niveaux d’activation d’un ensemble de muscles de l’épaule. L’amplitude du signal EMG de 12 muscles de l’épaule a été enregistrée chez 16 sujets alors qu’ils effectuaient 15 CVMi. Une première approche systématique a permis de déterminer les 4 CVMi parmi les 15 qui ensemble maximisent les niveaux d’activation pour les 12 muscles simultanément. Ces 4 contractions ont donné des niveaux d’activation supérieurs aux recommandations antérieures pour 4 muscles de l’épaule. Une seconde approche a permis de déterminer le nombre minimal de CVMi qui sont nécessaires afin de produire un niveau d’activation qui n’est pas significativement différent des valeurs d’activation maximales pour les 16 sujets. Pour 12 muscles de l’épaule, un total de 9 CVMi sont requises afin de produire des valeurs d’activation qui sont représentatives de l’effort maximal de tous les sujets. Ce mémoire a proposé deux approches originales, dont la première a maximisé les niveaux d’activation qui peuvent être produits à partir d’un nombre fixe de CVMi tandis que la deuxième a permis d’identifier le nombre minimal de CVMi nécessaire afin de produire des niveaux d’activation qui ne sont pas significativement différentes des valeurs d’activation maximales. Ces deux approches ont permis d’émettre des recommandations concernant les CVMi nécessaires à la normalisation de l’EMG afin de réduire les risques de sous-estimer l’effort maximal d’un ensemble d’individus.

Prediction of Parkinson’s Disease tremor onset using a radial basis function neural network based on particle swarm optimization

Deep Brain Stimulation (DBS) has been successfully used throughout the world for the treatment of Parkinson's disease symptoms. To control abnormal spontaneous electrical activity in target brain areas DBS utilizes a continuous stimulation signal. This continuous power draw means that its implanted battery power source needs to be replaced every 18–24 months. To prolong the life span of the battery, a technique to accurately recognize and predict the onset of the Parkinson's disease tremors in human subjects and thus implement an on-demand stimulator is discussed here. The approach is to use a radial basis function neural network (RBFNN) based on particle swarm optimization (PSO) and principal component analysis (PCA) with Local Field Potential (LFP) data recorded via the stimulation electrodes to predict activity related to tremor onset. To test this approach, LFPs from the subthalamic nucleus (STN) obtained through deep brain electrodes implanted in a Parkinson patient are used to train the network. To validate the network's performance, electromyographic (EMG) signals from the patient's forearm are recorded in parallel with the LFPs to accurately determine occurrences of tremor, and these are compared to the performance of the network. It has been found that detection accuracies of up to 89% are possible. Performance comparisons have also been made between a conventional RBFNN and an RBFNN based on PSO which show a marginal decrease in performance but with notable reduction in computational overhead.

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.

The ACB technique: a biomagentic tool for monitoring gastrointestinal contraction directly from smooth muscle in dogs

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Electromyographic activity of shoulder muscles during exercises performed with oscillatory and non-oscillatory poles

CONTEXTUALIZAÇÃO: A dor e a disfunção no complexo articular do ombro é comumente encontrada na prática fisioterapêutica. Essas anormalidades musculoesqueléticas estão relacionadas à instabilidade e inadequado funcionamento cinemático, que dependem da integridade dos tecidos musculares. Assim, no sentido de prevenir e reabilitar esses sintomas, o uso da haste oscilatória vem sendo implantado para melhorar os resultados de técnicas cinesioterapêuticas. OBJETIVOS: Analisar a atividade eletromiográfica (EMG) dos músculos que estabilizam a articulação do ombro durante a realização de exercícios com haste oscilatória e haste não-oscilatória. MÉTODOS: Participaram do estudo 12 voluntárias com idade de 20,4±1,9 anos. Os dados EMG foram coletados nos músculos trapézio superior (TrS), trapézio inferior (TrI) e deltoide médio (DM) durante três diferentes exercícios realizados com haste oscilatória e haste não-oscilatória. O sinal EMG foi analisado no domínio do tempo pelo cálculo do Root Mean Square (RMS). Os valores de RMS foram normalizados pelo valor de pico obtido em todas as tentativas por cada músculo. A análise estatística foi feita com os testes ANOVA para medidas repetidas e post-hoc de Bonferroni. RESULTADOS: A atividade EMG dos músculos TrS, TrI e DM foi significativamente maior nos exercícios com haste oscilatória do que com haste não-oscilatória (todos p<0,001). Não foram significativas as diferenças na ativação desses músculos entre os exercícios. CONCLUSÃO: Os resultados do presente estudo indicaram que a haste oscilatória requisitou maior atividade EMG dos músculos do ombro e, assim, pode ser um instrumento útil no treinamento desses músculos.

Análise de parâmetros de força e resistência dos músculos eretores da espinha lombar durante a realização de exercício isométrico em diferentes níveis de esforço

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Padrão de co-ativação dos músculos do tronco durante exercícios com haste oscilatória

This study aimed to compare trunk muscle co-activation pattern during exercises using an oscillatory pole. Twelve volunteers participated in this study, in which they performed three different exercises. EMG activity of internal oblique (IO), external oblique (EO), rectus abdominis (RA), multifidus (MU) and iliocostalis lumborum (IL) was collected. The EMG signals were analyzed in time domain (RMS) and muscles activation ratios were computed as follow: anterior-posterior (A/P=RA+EO+IO/MU+IL), MU/IL and OE/OI. The bilateral oscillation of the pole in frontal plane (exercise II) promoted a higher value of MU/IL ratio than unilateral oscillation of the pole in sagital plane (exercise III). Also, the bilateral oscillation of the pole in frontal plane (exercise II) and the unilateral oscillation of the pole in sagital plane (exercise III) caused higher values of the IO/EO than bilateral oscillation of the pole in transversal plane (exercise I). Thus, the exercises II and III required higher activation of trunk stabilizer muscles, being more indicate for training, which aims higher recruitment of these muscles in daily activities.

Electromyographic activity of trunk muscles during exercises with flexible and non-flexible poles

Objective: Hand-held flexible poles which are brought into oscillation to cause alternating forces on trunk, are advocated as training devices that are supposed to solicit increased levels of stabilizing trunk muscle activity. The aim of this study was to verify this claim by comparing electromyographic (EMG) activity of trunk muscles during exercises performed with a flexible pole and a rigid pole.Methods: Twelve healthy females performed three different exercises with flexible and rigid poles. EMG activity of iliocostalis lumborum (IL), multifidus (MU), rectus abdominis (RA), external oblique (EO) and internal oblique (IO), and was continuously measured. The EMG signals were analyzed in time domain by calculation of the Root Mean Square (RMS) amplitudes over 250 ms windows. The mean RMS-values over time were normalized by the maximum RMS obtained for each muscle.Results: The IO showed a 72% greater EMG activity during the exercises performed with the flexible pole than with the rigid pole (p = 0.035). In exercises performed in standing, the IO was significantly more active than when sitting (p = 0.006).Conclusion: As intended, the cyclic forces induced by the oscillating pole did increase trunk muscle activation. However, the effect was limited and significant for the IO muscle only.

Back extensor muscle fatigue at submaximal workloads assessed using frequency banding of the electromyographic signal

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)