Gain insights into the brain and optimize its function! This project aims to develop a software framework for a brain-computer interface utilizing functional near-infrared spectroscopy (fNIRS). The framework will be employed in a neurofeedback study with a focus on modulating motor brain regions. Neurological disorders, such as stroke, attention deficit hyperactivity disorder (ADHD), and major depressive disorder, are major causes of disability worldwide. However, the current therapeutic approaches often prove ineffective or result in severe side effects, highlighting the need for alternative methods. One of the most promising and side-effect-free approaches is the use of brain-computer interfaces (BCIs). BCIs employ a brain imaging system to measure brain activity, which is then transmitted to a robot or computer screen, providing feedback to the user. Neurofeedback, a form of BCI therapy, involves displaying the patient's brain activity on a screen and allowing them to modulate it in real-time, directly targeting the source of the disorder: the brain itself. This project aims to utilize our custom-built fNIRS system to conduct a neurofeedback study. The primary objective is to implement Python code for real-time analysis and visualization of fNIRS data. A study involving 10 healthy subjects will be performed, and the resulting data will be analyzed using common statistical methods. Tasks: - Conduct a comprehensive literature review and define the study protocol. - Implement and explore algorithms for processing fNIRS data. - Visualize fNIRS data effectively. - Perform a neurofeedback study involving 10 healthy subjects. - Analyze the collected fNIRS measurements.

Join us in revolutionizing brain imaging technologies and make it accessible for everyday use. Near-infrared imaging (NIRI) is an emerging technology that enables cost-effective and precise brain measurements, helping to improve neurotherapies and brain health. Optohive is developing a wearable brain imaging system that provides affordable and accessible insights into brain function, offering a quantitative approach to diagnosing and treating neurological disorders. Our mission is to advance understanding of the human brain and translate this knowledge into innovative diagnostic and therapeutic solutions, addressing the growing prevalence of neurological conditions. We are currently seeking a Mechanical Engineer to help drive the continued development and refinement of our hardware. Send your documents to [email protected]

Are you ready to shape the future of brain imaging technology and advance medical applications? We are seeking a Full-Stack Software Engineer to join optohive, a future ETH Zurich spinoff hosted by the Rehabilitation Engineering Lab (RELab) at the Department of Health Sciences and Technology (D-HEST). Optohive is developing a groundbreaking brain imaging system based on functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain recordings. We aim to translate accessible and easy-to-use brain imaging into widespread applications and accelerate the development of clinically viable biomarkers. We are seeking a Full-Stack Software Engineer to advance our standalone software, making it robust, intuitive, and efficient for both research and medical applications. You will play a key role in designing end-to-end solutions for streaming data from the optohive hardware, performing real-time processing, and visualizing brain activity. The collected data will be further processed through an AI-powered cloud solution. Working closely with an interdisciplinary team, customers, and external developers, you will contribute to a product that bridges cutting-edge neuroscience, AI, and medical applications. This project offers an exciting and dynamic work environment with long-term involvement opportunities. We are looking for a candidate that can start as soon as possible with a workload of 100%. We look forward to receiving your online application with the following documents: Cover letter outlining your motivation and experience in the field. Mention your earliest possible starting date CV including degree certificates Transcript of records Apply here: https://jobs.ethz.ch/job/view/JOPG_ethz_mH20XiX4JZKhxD5HZu