Ken Yoshida mainly focuses on Biomedical engineering, Anatomy, Neurophysiology, Artificial intelligence and Muscle contraction. His research integrates issues of Functional electrical stimulation, Peripheral nerve and Neuroprosthetics in his study of Biomedical engineering. His work on Peripheral nerve interface as part of general Peripheral nerve research is frequently linked to Future studies, bridging the gap between disciplines.
His Afferent study, which is part of a larger body of work in Anatomy, is frequently linked to Surface micromachining, bridging the gap between disciplines. His work in Artificial intelligence addresses issues such as Sensory system, which are connected to fields such as Pattern recognition. His Muscle contraction research includes themes of Inhibitory postsynaptic potential, Stimulation, Gastrocnemius muscle and Rhythm.
Ken Yoshida mainly investigates Biomedical engineering, Stimulation, Anatomy, Artificial intelligence and Sensory system. Ken Yoshida interconnects Nerve fiber, Peripheral, Microelectrode, Nerve conduction velocity and Peripheral nerve in the investigation of issues within Biomedical engineering. Ken Yoshida focuses mostly in the field of Stimulation, narrowing it down to topics relating to Sensation and, in certain cases, Physical medicine and rehabilitation and Electrocutaneous stimulation.
His work in the fields of Anatomy, such as Muscle contraction, Gastrocnemius muscle and Transverse plane, intersects with other areas such as Peripheral nervous system. His research investigates the link between Artificial intelligence and topics such as Pattern recognition that cross with problems in Standard deviation, Signal conditioning and Brain–computer interface. His Sensory system study combines topics from a wide range of disciplines, such as Stimulus and Neurophysiology.
His primary areas of study are Biomedical engineering, Stimulation, Physical medicine and rehabilitation, Fiber and Sensation. Ken Yoshida combines subjects such as Peripheral, Peripheral nerve, Single fiber and Nerve fiber with his study of Biomedical engineering. His Stimulation research integrates issues from Forelimb and Neuroprosthetics.
He works mostly in the field of Forelimb, limiting it down to topics relating to Electromyography and, in certain cases, Muscle contraction, Decoding methods and Motor unit, as a part of the same area of interest. His research in Physical medicine and rehabilitation intersects with topics in Sensory stimulation therapy and Sensory system. The study incorporates disciplines such as Electronic engineering, Coupling and Frequency domain in addition to Fiber.
Ken Yoshida mostly deals with Biomedical engineering, Fiber, Neuroprosthetics, Forelimb and Stimulation. His Biomedical engineering research is multidisciplinary, incorporating perspectives in Peripheral, Substrate, Nanotechnology and Anatomy. In the subject of general Anatomy, his work in Motor unit and Muscle contraction is often linked to Spike train, thereby combining diverse domains of study.
His Fiber study combines topics in areas such as Nerve fascicle, Coupling and Frequency domain. His Neuroprosthetics research includes elements of Electromyography, Motor unit recruitment, Functional electrical stimulation and Sensory system. His Forelimb research is multidisciplinary, incorporating elements of Transverse plane, Göttingen minipig, Elbow and Median nerve.
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A transverse intrafascicular multichannel electrode (TIME) to interface with the peripheral nerve.
Tim Boretius;Jordi Badia;Aran Pascual-Font;Martin Schuettler.
Biosensors and Bioelectronics (2010)
Selective stimulation of peripheral nerve fibers using dual intrafascicular electrodes
K. Yoshida;K. Horch.
IEEE Transactions on Biomedical Engineering (1993)
Assessment of Biocompatibility of Chronically Implanted Polyimide and Platinum Intrafascicular Electrodes
N. Lago;K. Yoshida;K.P. Koch;X. Navarro.
IEEE Transactions on Biomedical Engineering (2007)
A 32-site neural recording probe fabricated by DRIE of SOI substrates
Peter Norlin;Maria Kindlundh;Aliette Mouroux;Ken Yoshida.
Journal of Micromechanics and Microengineering (2002)
Closed-loop control of ankle position using muscle afferent feedback with functional neuromuscular stimulation
K. Yoshida;K. Horch.
IEEE Transactions on Biomedical Engineering (1996)
Identification, Localization, and Modulation of Neural Networks for Walking in the Mudpuppy (Necturus Maculatus) Spinal Cord
Jianguo Cheng;Richard B. Stein;Ksenija Jovanovic;Ken Yoshida.
The Journal of Neuroscience (1998)
On the Use of Longitudinal Intrafascicular Peripheral Interfaces for the Control of Cybernetic Hand Prostheses in Amputees
S. Micera;X. Navarro;J. Carpaneto;L. Citi.
international conference of the ieee engineering in medicine and biology society (2008)
On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes
Luca Citi;Jacopo Carpaneto;Ken Yoshida;Ken Yoshida;Klaus-Peter Hoffmann.
Journal of Neuroscience Methods (2008)
Acute peripheral nerve recording Characteristics of polymer-based longitudinal intrafascicular electrodes
S.M. Lawrence;G.S. Dhillon;W. Jensen;K. Yoshida.
international conference of the ieee engineering in medicine and biology society (2004)
Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis
S. Micera;L. Citi;J. Rigosa;J. Carpaneto.
Proceedings of the IEEE (2010)
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