What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Control theory
Eric J. Perreault spends much of his time researching Stiffness, Electromyography, Physical medicine and rehabilitation, Control theory and Reflex.
His Stiffness study combines topics in areas such as Human arm, Muscle contraction and System identification.
Eric J. Perreault combines subjects such as Motor cortex, Isometric exercise and Motor coordination with his study of Electromyography.
His biological study spans a wide range of topics, including Spinal cord injury, Physical therapy and Functional electrical stimulation.
His Control theory research incorporates elements of Orientation and Control.
Eric J. Perreault does research in Reflex, focusing on Stretch reflex specifically.
His most cited work include:
- Alterations in upper limb muscle synergy structure in chronic stroke survivors (171 citations)
- Alterations in upper limb muscle synergy structure in chronic stroke survivors (171 citations)
- Effects of voluntary force generation on the elastic components of endpoint stiffness (143 citations)
What are the main themes of his work throughout his whole career to date?
Eric J. Perreault focuses on Physical medicine and rehabilitation, Control theory, Stiffness, Electromyography and Reflex.
His study in Physical medicine and rehabilitation is interdisciplinary in nature, drawing from both Physical therapy, Isometric exercise, Spinal cord injury and Elbow, Anatomy.
Eric J. Perreault works mostly in the field of Control theory, limiting it down to topics relating to Simulation and, in certain cases, Artificial intelligence and Computer vision.
His Stiffness research is multidisciplinary, incorporating elements of Human arm and Biomechanics.
His Electromyography study also includes fields such as
- Brainstem that intertwine with fields like Moro reflex,
- Transcranial magnetic stimulation which intersects with area such as Motor cortex.
His work in the fields of Reflex, such as Stretch reflex, overlaps with other areas such as Population.
He most often published in these fields:
- Physical medicine and rehabilitation (48.05%)
- Control theory (31.17%)
- Stiffness (32.03%)
What were the highlights of his more recent work (between 2016-2021)?
- Physical medicine and rehabilitation (48.05%)
- Isometric exercise (16.88%)
- Stiffness (32.03%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Physical medicine and rehabilitation, Isometric exercise, Stiffness, Torque and Muscle activation.
His studies in Physical medicine and rehabilitation integrate themes in fields like Elbow, Anatomy and Reflex.
His study explores the link between Elbow and topics such as Deltoid muscle that cross with problems in Biceps.
Eric J. Perreault is interested in Muscle stiffness, which is a branch of Stiffness.
His Muscle activation study also includes
- Joint together with Control theory,
- Motor Pathways which connect with Simulation.
As a part of the same scientific study, Eric J. Perreault usually deals with the Artificial intelligence, concentrating on Neural control and frequently concerns with Electromyography.
Between 2016 and 2021, his most popular works were:
- Online adaptive neural control of a robotic lower limb prosthesis. (38 citations)
- Online adaptive neural control of a robotic lower limb prosthesis. (38 citations)
- Consensus for experimental design in electromyography (CEDE) project : Electrode selection matrix (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Internal medicine
Physical medicine and rehabilitation, Isometric exercise, Electromyography, Stiffness and Muscle activity are his primary areas of study.
Eric J. Perreault interconnects Finger movement, Motor learning, Elbow, Range of motion and Shoulders in the investigation of issues within Physical medicine and rehabilitation.
His Isometric exercise study integrates concerns from other disciplines, such as Functional electrical stimulation, Deltoid muscle, Deltoid curve, Biceps and Muscle activation.
His Electromyography research includes elements of Neural control, Stairs, Artificial intelligence, Word error rate and Lower limb prosthesis.
His research in Stiffness is mostly concerned with Muscle stiffness.
His research in Muscle activity intersects with topics in Joint, Anatomy, Motor cortex and Reflex.
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