Max Jair Ortiz Catalan
Max Ortiz Catalán är docent och leder forskargruppen Bionik vid institutionen för elektroteknik. Hans forskning fokuserar på naturlig kontroll av proteser genom osseointegrerade implantat. Detta innebär bioelektrisk signalmottagning och signalbehandling, neurala gränssnitt, medicintekniska hjälpmedel, mönsterigenkänning, regleralgoritmer och artificiell intelligens. Max leder den medicinska utvecklingen och det kliniska genomförandet av en osseointegrerad förbindelse mellan människa och maskin.
Mer detaljerad information finns på den här sidans engelska motsvarighet.

Visar 68 publikationer
Chronic Use of a Sensitized Bionic Hand Does Not Remap the Sense of Touch
Ultrasound-powered tiny neural stimulators
Neural feedback strategies to improve grasping coordination in neuromusculoskeletal prostheses
Self-contained neuromusculoskeletal arm prostheses
Safety of long-term electrical peripheral nerve stimulation: review of the state of the art
Alpha Oscillation in Phantom Limb Pain Patients: A Neuropathic Pain Signature
Load exposure of osseointegrated implants for transfemoral limb prosthesis during running
Improved Prosthetic Control Based on Myoelectric Pattern Recognition via Wavelet-Based De-Noising
Differential Activation of Biceps Brachii Muscle Compartments for Human-Machine Interfacing
Restoration of somatosensory perception via electrical stimulation of peripheral nerves
Universal, Open Source, Myoelectric Interface for Assistive Devices
Restoring Natural Forearm Rotation in Transradial Osseointegrated Amputees
Estimates of Classification Complexity for Myoelectric Pattern Recognition
Low-cost, open source bioelectric signal acquisition system
Evaluation of Computer-Based Target Achievement Tests for Myoelectric Control
Classification complexity in myoelectric pattern recognition
Touch and Hearing Mediate Osseoperception
The Bionic Human Arm - Fact or Fiction in 2016?
Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
The Bionic Human Arm – fact or fiction in 2016?
Outcome measures following implanted electrodes in an osseointegrated trans-humeral patient
Real-Time and Simultaneous Control of Artificial Limbs Based on Pattern Recognition Algorithms
Evaluation of Classifier Topologies for the Real-time Classification of Simultaneous Limb motions
A permanent bidirectional interface for the natural control of artificial limbs.
Multi-layer perceptron training algorithms for pattern recognition of myoelectric signals
Biologically inspired algorithms applied to prosthetic control
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Visar 7 forskningsprojekt
Highly integrated bionic arm: Clinical implementation
GRAphene-based Flexible neural Interfaces for the control of Neuroprosthetic devices (GRAFIN)
Neuromotos: En innovativ neuroplastisk behandling av fantomsmärtor
Novel technology to alleviate intracable pain caused by motor impairment