BCI & Neurotech Masterclass Malaysia 2024 | g.tec medical engineering GmbH

BCI & NEUROTECH MASTERCLASS MALAYSIA

7 June, 2024, 09:00-18:00 MYT

Get ready to dive into the latest research spanning from EEG studies on pain perception to investigations into working memory, and from BCI neurorehabilitation advancements to the cutting-edge developments in BCI technology. Power up your PC and embark on this fascinating journey!

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BCI & NEUROTECH IN MALAYSIA

Neurotechnologies are increasingly part of our daily lives. Without us realizing it, they begin to appear in devices that we already use or hope to use in the near future. This phenomenon is not exclusive to other countries. Also in Malaysia, several laboratories are working to find new ways to adapt the science and knowledge acquired over the last decades in order to make a difference in the global market.

On June 07, 2024, the third BCI & Neurotech Masterclass will take place. g.tec has invited some of the best Malays researchers to present to you the best of the R&D currently taking place in your country. Don’t miss this chance to learn new and future applications of brain-computer interfaces, gain know-how and techniques from our speakers and participate in the largest event of its kind.

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MASTERCLASS PROGRAM

9:00-10:00 Unicorn Unity Interface For Gaming
Mr. Kelvin Wong – Ultra Technology Engineering (UTE)

10:00-11:00 Attention Among Children with Letter Reversal Writing: An ERP of N100, P300 and N170 Study
Dr. Jong Hui Ying – School of Humanities – Malay Linguistics Section, Universiti Sains Malaysia

11:00-12:00 Analyzing Alpha Brain Activity and Anxiety Symptoms While Coloring Mandalas
Dr. Mohd Faizal Mohd Zulkifly – Department of Neurosciences, Universiti Sains Malaysia

12:00-13:00 Latest Clinical Results of recoveriX Neurorehabilitation Therapy in Stroke Gait Rehab, Multiple Sclerosis & Parkinson’s Disease
Ms. Christy Li – g.tec neurotechnology Hong Kong Limited

13:00-15:00 break

15:00-16:00 Multi-modal Physiological Signals Acquisition Using g.USBamp Biosignal Amplifier for Cardiovascular Disease Research
Ap. Dr. Gan Kok Beng – Department of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia (UKM)

16:00-17:00 The Influence of Working Memory Performance by the Quranic Treatment using EEG detection
Dr. Sofina Tamam – Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM)

17:00-18:00 Latest Technology Developments in Brain Computer Interfacing and Ultra High Density EEG
Dr. Christoph Guger – g.tec medical engineering GmbH

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