Max Ortiz Catalan sheds light on how biology and mechatronics, for the first time, can integrate man and machine through intuitive prosthetics, controlled by the mind.

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Max develops prosthetics that, with help from titanium implants, neuromuscular interfaces, and sophisticated control algorithms, can be controlled by the brain – just like our biological limbs.

Forskaren Max Ortiz Catalan har utvecklat världsunika proteser som styrs av hjärnan och dessutom skickar tillbaka sensorisk information. I Efter tio förklarar han hur det går till.
Malou Efter tio i TV4 från 2019-11-15:
I Malou efter tio bjuds det på långa intervjuer, starka berättelser, nyfikna frågor och engagerande diskussioner. Det blir politik, medicin, hälsa och kultur i en halsbrytande blandning. Se hela avsnitt på TV4 Play http://tv4play.se/program/malou-efter-tio

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Malou efter tio is a Swedish talkshow on TV4 with host Malou von Sivers.

This video is part of the article:
Ortiz-Catalan, et al. Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain. Lancet, 2016.
Published online Dec 1.
http://dx.doi.org/10.1016/S0140-6736(16)31598-7.

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Animation of the next generation of the pioneering OPRA Implant System. The first permanently implanted interface that a allows a long-term implementation of a more natural prosthetic control, including feedback through neurostimulation, thus closing the gap between the research lab and the real-world.

For more information visit: http://www.sahlgrenskaic.com/medical-care/opra-implant-system/treatment-success/

As a young man, Ulf lost his arm in an accident. As one of four recipients in the world, he was fitted with a prosthetic that he is able to control with his thoughts. Ulf is part of an internationally acclaimed research project in Sweden, a joint venture between Region Västra Götaland; C.A.R.E. (Centre for Advanced Reconstruction of Extremities) at Sahlgrenska University Hospital; Integrum; and Chalmers University of Technology.

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Video on the first patient with below-elbow amputation implanted with osseo-neuromuscular interfaces (e-OPRA).
Electrodes implanted in nerves and muscles allow for the extraction of control information and to provide intuitive sensory feedback (”feeling”).
Osseointegrated implants allow for direct skeletal attachment of the prosthesis, while also serving as safe, long-term stable, and bidirectional communication interfaces to the implanted electrodes.
Patient initially uses a virtual prosthesis during recovery from implantation, prior receiving the dexterous and sensorized hand prosthesis to be used in daily life.

This technology was developed by Integrum AB and Chalmers University of Technology (@ChalmersBNL), as part of the European project DeTOP (http://www.detop-project.eu).

Follow more neuroprosthetic developments @ChalmersBNL (FB, IG, TW).

Restoration of natural wrist rotation in below-elbow amputees via a novel artificial wrist joint and osseointegrated implants for direct skeletal attachment.
Full scientific publication:
Boni I., Millenaar J., Controzzi M., and Ortiz-Catalan M., Restoring natural forearm rotation in transradial osseointegrated amputees, IEEE Trans. Neural Sys. & Rehab. Eng., 2018

Follow more neuroprosthetic developments @ChalmersBNL (FB, IG, TW)

First recipient of a robotic arm directly interfaced to bone, nerves, and muscles, via an osseointegrated implant (OPRA Implant System). The patient demonstrates superior control over conventional technology using superficial electrodes.
Movie 1 from: Ortiz-Catalan, M., Håkansson, B., and Brånemark, R., Osseointegrated human-machine gateway for long-term stable sensory feedback and motor control of artificial limbs, Science Translational Medicine 6, 2014, 257re6.
http://stm.sciencemag.org/lookup/doi/10.1126/scitranslmed.3008933

Intuitive control based on pattern recognition fed by the implanted neuromuscular interfaces via an osseointegrated implant (OPRA Implant System). Demonstration in augmented reality and with a multi-functional prosthesis, as well as real-time evaluation in virtual reality.
Movie 2 from: Ortiz-Catalan, M., Håkansson, B., and Brånemark, R., Osseointegrated human-machine gateway for long-term stable sensory feedback and motor control of artificial limbs, Science Translational Medicine 6, 2014, 257re6.
http://stm.sciencemag.org/lookup/doi/10.1126/scitranslmed.3008933

This is a commercially available prosthetic device that has been modified to allow the user to individually control each finger. Pattern recognition of myoelectric signals recorded in the surface of the forearm makes this possible. In this initial test no control strategies are employed. The movement of each finger is directly couple to the classifier prediction. This is part of ongoing research on natural control of artificial limbs.

This demo was done using BioPatRec, an open source project. For more information visit: https://code.google.com/p/biopatrec/

This is an initial demonstration of simultaneous prosthetic control using pattern recognition to classify mixed movements. Myoelectric signals from the forearm feed the classifier which raw output drives the actuators. No control algorithm was applied as can be seen by the wobbling of the artificial hand. This demonstration is part of ongoing research in prosthetic control which is not yet ready for clinical use.

This demo was done using BioPatRec, an open source project. For more information visit: https://code.google.com/p/biopatrec/