Virtual reality based Machine Learning for Arm-Hand Function Evaluation and Support System (VAFES)

Posted on By jannis No Comments on Virtual reality based Machine Learning for Arm-Hand Function Evaluation and Support System (VAFES)
press release, research grand

Consortium: Prof. Dr. Ioannis Iossifidis (PI, consortium lead), Dr. Christian Klaes (PI), Ruhr University Bochum-Knappschaft University Hospital, Prof. Dr. Martin Tegenthoff (PI) Ruhr University- Bergmannsheil University Hospital, Dr. Corinna Weber, Snap GmbH (PI)) Project duration: 01/2020 — 12/2022 Funding volume: € 2.092.917,- Restrictions in hand and arm function are a highly relevant consequence of neurological diseases, … Read More “Virtual reality based Machine Learning for Arm-Hand Function Evaluation and Support System (VAFES)” »

Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)

Posted on By jannis No Comments on Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)
press release, research grand

Consortium: Prof. Dr. Ioannis Iossifidis (PI, consortium lead), Dr. Christian Klaes (PI), Ruhr University Bochum-Knappschaft University Hospital, Prof. Dr. Martin Tegenthoff (PI) Ruhr University- Bergmannsheil University Hospital, Dr. Corinna Weber, Snap GmbH (PI)) Project duration: 10/2019 — 09/2022 Funding volume: € 2,084,843 Project REXO is among the winners of the lead market health competition — … Read More “Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)” »

Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients

Posted on By jannis No Comments on Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients
press release, research grand

DFG: Emmy-Noether-Grand: Dr. Christian Klaes (PI, Coordinator), Prof. Dr. Kirsten Schmieder (PI), Prof. Dr. Ioannis Iossifidis (PI).03/2016 — 02/2021 Tetraplegic patients are paralyzed from the neck down. Their severe condition is often the result of car accidents or falls. According to the National Spinal Cord Injury Statistical Center approximately 160.000 persons in the USA are … Read More “Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients” »

Spike-Deeptector in conjunction with artifact rejector: A deep-learning based feature extractor for online invasive BCI applications (Thesis-Proposal)

Posted on By Muhammad Saif-Ur-Rehman No Comments on Spike-Deeptector in conjunction with artifact rejector: A deep-learning based feature extractor for online invasive BCI applications (Thesis-Proposal)
teaching

Brain-computer interface (BCI) systems are a rapidly growing technology that controlsexternal devices, e.g. a neuroprosthetic limb, by directly decoding intended movements from the recorded neural activities and bypassing the spinal cord. Decoding neural activity is a two-step process, feature vector extraction and classification/regression. In online BCI applications, non-stationary behavior of neural signals makes the process of … Read More “Spike-Deeptector in conjunction with artifact rejector: A deep-learning based feature extractor for online invasive BCI applications (Thesis-Proposal)” »

Control of a Brushless DC Motor (Thesis-Proposal)

Posted on By ayaz No Comments on Control of a Brushless DC Motor (Thesis-Proposal)
teaching

contact: Muhammad Ayaz Hussain, M. Sc., Tel: +49 208 88254806muhammad.hussain@hs-ruhrwest.de A brushless dc (BLDC) motor drive is characterized by higher efficiency, lower maintenance, and higher cost. In a market driven by profit margins, the appliance industry is reluctant to replace the conventional motor drives with the advanced motor drives (BLDC) due to their higher cost. … Read More “Control of a Brushless DC Motor (Thesis-Proposal)” »

Comparing and Evaluating Prioritized Experience Replay Methods in Reinforcement Learning (Thesis-Proposal)

Posted on By felix No Comments on Comparing and Evaluating Prioritized Experience Replay Methods in Reinforcement Learning (Thesis-Proposal)
teaching

Reinforcement Learning (RL) is a subdomain of machine learning that has developed rapidly in recent years and has become increasingly popular. In reinforcement learning an agent learns from experience using a scalar reward signal, in contrast to learning from examples of labelled data as it is done in supervised machine learning. The agent interacts with … Read More “Comparing and Evaluating Prioritized Experience Replay Methods in Reinforcement Learning (Thesis-Proposal)” »

Comparing and Evaluating Distributional Reinforcement Learning Methods (Thesis Proposal)

Posted on By felix No Comments on Comparing and Evaluating Distributional Reinforcement Learning Methods (Thesis Proposal)
teaching

Reinforcement Learning (RL) is a subdomain of machine learning that has developed rapidly in recent years and has become increasingly popular. In reinforcement learning an agent learns from experience using a scalar reward signal, in contrast to learning from examples of labelled data as it is done in supervised machine learning. The agent interacts with … Read More “Comparing and Evaluating Distributional Reinforcement Learning Methods (Thesis Proposal)” »

Sensor-Based Smart Glove Enables Parkinson’s Diagnosis

Posted on By jannis No Comments on Sensor-Based Smart Glove Enables Parkinson’s Diagnosis
press release

Interview with Professor Ioannis Iossifidis, Head of Robotics and BCI Laboratory, Ruhr West University of Applied Sciences published at Medica Magazine Read the whole interview: https://www.medica-tradefair.com/en/News/Interviews/Previous_Interviews/Interviews_2020/Sensor-Based_Smart_Glove_Enables_Parkinson_s_Diagnosis

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Posted on By jannis No Comments on SpikeDeeptector: a deep-learning based method for detection of neural spiking activity
scientific publication

Journal of Neural Engineering: https://iopscience.iop.org/article/10.1088/1741-2552/ab1e63 In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordings of some channels contain neural activity, which are often contaminated with noise. Another fraction of channels does … Read More “SpikeDeeptector: a deep-learning based method for detection of neural spiking activity” »

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity

Posted on By jannis No Comments on SpikeDeeptector: a deep-learning based method for detection of neural spiking activity
scientific publication

Journal of Neural Engineering: https://iopscience.iop.org/article/10.1088/1741-2552/ab1e63 In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordings of some channels contain neural activity, which are often contaminated with noise. Another fraction of channels does … Read More “SpikeDeeptector: a deep-learning based method for detection of neural spiking activity” »