Search Results - "Bruin, Hubert de"

A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy by Khodayari-Rostamabad, Ahmad, Hasey, Gary M, MacCrimmon, Duncan J, Reilly, James P, Bruin, Hubert de

“…Abstract Objective To investigate whether applying advanced machine learning (ML) methodologies to pre-treatment electroencephalography (EEG) data can predict…”
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Electrical muscle stimulation after immediate nerve repair reduces muscle atrophy without affecting reinnervation by Willand, Michael P., Holmes, Michael, Bain, James R., Fahnestock, Margaret, De Bruin, Hubert

“…ABSTRACT Introduction Electrical stimulation of denervated muscle has been shown to minimize atrophy and fibrosis and increase force in animal and human…”
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Motor unit populations in healthy and diseased muscles by McComas, A J, Galea, V, de Bruin, H

“…The numbers of functioning motor units can be estimated in proximal and distal muscles of human limbs by an electrophysiological technique in which the mean…”
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Wavelet-Based Muscle Artefact Noise Reduction for Short Latency rTMS Evoked Potentials by Chrapka, Philip, de Bruin, Hubert, Hasey, Gary, Reilly, Jim

“…This paper presents a new method of reducing the noise in the EEG response signal recorded during repetitive transcranial magnetic stimulation (rTMS). This…”
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Estimating neural sources using a worst-case robust adaptive beamforming approach by Chrapka, Philip, Reilly, Jim, de Bruin, Hubert

“…Recently, brain source localization and beamforming methods have played an important role in enhancing the utility of the electroencephalograph (EEG) and/or…”
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A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder by Khodayari-Rostamabad, Ahmad, Reilly, James P, Hasey, Gary M, de Bruin, Hubert, MacCrimmon, Duncan J

“…Highlights • Salient quantitative biomarkers or features extracted from the pre-treatment EEG data are automatically identified that discriminate responders…”
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Diagnosis of psychiatric disorders using EEG data and employing a statistical decision model by Khodayari-Rostamabad, A, Reilly, J P, Hasey, G, de Bruin, Hubert, MacCrimmon, D

“…An automated diagnosis procedure based on a statistical machine learning methodology using electroencephalograph (EEG) data is proposed for diagnosis of…”
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Sensory Nerve Cross-Anastomosis and Electrical Muscle Stimulation Synergistically Enhance Functional Recovery of Chronically Denervated Muscle by Willand, Michael P., Holmes, Michael, Bain, James R., de Bruin, Hubert, Fahnestock, Margaret

“…Long-term muscle denervation leads to severe and irreversible atrophy coupled with loss of force and motor function. These factors contribute to poor…”
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The numbers and relative sizes of motor units estimated by computer by Galea, V, de Bruin, H, Cavasin, R, McComas, A J

“…A fully automated system is described for estimating the numbers and relative sizes of functioning motor units in proximal and distal muscles of the arm and…”
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Muscle activity during mandibular movements in normal and mandibular retrognathic subjects by Harper, R P, de Bruin, H, Burcea, I

“…The masticatory muscles function as a unit during precise mandibular positioning movements that occur during such activities as speech, singing, or playing…”
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Electrical muscle stimulation after immediate nerve repair reduces muscle atrophy without affecting reinnervation: Stimulation after Nerve Repair by Willand, Michael P., Holmes, Michael, Bain, James R., Fahnestock, Margaret, De Bruin, Hubert

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Minute by Minute Differences in Co-activation during Treadmill Walking in Cerebral Palsy by Maltais, Desiree, Pierrynowski, Michael Raymond, Galea, Victoria, de Bruin, Hubert, Al-Mutawaly, Nafia, Bar-Or, Oded

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Minute by Minute Differences in Co-activation during Treadmill Walking in Cerebral Palsy by Maltais, Desiree, Pierrynowski, Michael Raymond, Galea, Victoria, de Bruin, Hubert, Al-Mutawaly, Nafia, Bar-Or, Oded

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A Simple and Fast Algorithm for Automatic Suppression of High-Amplitude Artifacts in EEG Data by Mourad, N., Reilly, J. P., de Bruin, H., Hasey, G., MacCrimmon, D.

“…In this paper we present a simple and fast technique for correcting high amplitude artifacts that contaminate EEG signals. Examples of such artifacts are…”
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The Effects of Pulse Configuration on Magnetic Stimulation by Al-Mutawaly, Nafia, de Bruin, Hubert, Hasey, Gary

“…SUMMARYA study is presented in which the authors have examined the effects of pulse configuration, stimulation intensity, and coil current direction during…”
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The effect of stimulus current pulse width on nerve fiber size recruitment patterns by Szlavik, Robert B, de Bruin, Hubert

“…There have been theoretical studies presented that postulate a change in the stimulus current amplitude required to recruit nerve fibers with different…”
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The effect of anisotropy on the potential distribution in biological tissue and its impact on nerve excitation simulations by Szlavik, R.B., de Bruin, H.

“…Presents a finite difference solution of the potential distribution associated with electrical current stimulation in an anisotropic in-homogeneous tissue…”
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Application of wavelet based denoising techniques to rTMS evoked potentials by Chrapka, P., de Bruin, H., Hasey, G.

“…This paper presents a new method of removing noise from the EEG response signal recorded during repetitive transcranial magnetic stimulation (rTMS). This noise…”
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A novel approach using tendon vibration of the human flexor carpi radialis muscle to study spinal reflexes by Tsang, Kenneth, de Bruin, Hubert, Archambeault, Mark

“…Although most muscle spindle investigations have used the cat model and invasive measurement techniques, several investigators have used microneurography to…”
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Using pre-treatment electroencephalography data to predict response to transcranial magnetic stimulation therapy for major depression by Khodayari-Rostamabad, A., Reilly, J. P., Hasey, G. M., de Bruin, H., MacCrimmon, D.

“…We investigate the use of machine learning methods based on the pre-treatment electroencephalograph (EEG) to predict response to repetitive transcranial…”
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