PiEEG

I’m thrilled to share that I’ve successfully completed "Signal processing (Python) for Neuroscience Practical course" on Udemy! 🏆 A big thank you to Ildar Rakhmatulin for creating such an informative, engaging, and well-structured course. 🙌 This course has helped me to understand different filters, decomposition techniques and their code implementation in python. The resources provided with the course are really helpful.  🚀 Certification : https://lnkd.in/gNY4_GAz #SignalProcessing #learning

Hello friends, on the eve of Christmas, great news 🎉🎉🎉 from PiEEG and probably last from this year I successfully tested the possibility of increasing the channels for reading EEG signals on the JetsonNano (Orin). 🌟 Up to 64 EEG channels device for real-time with Deep Learning for feature extraction with JetsonNano (Orin). 🌟 Real-Time for 64 Ch 🌟 Deep Learning for feature extraction Soon it will be possible to attach the JNEEG board to each other shields and increase the number of channels up to 64!!!. Do you think it is convenient to attach shields to each other or is it better to do everything on one shield? 32 and 64 on one board GitHub is here https://lnkd.in/e-q9-f2i YouTube demo for 8 Ch https://lnkd.in/eqSikMTz #EEG #BCI #neuroscience #python #pieeg #science #bioscience #healthcare #nvidia

I've just finished this great course by Ildar Rakhmatulin on EEG signal processing using Python. Its a great introduction into signal processing and covers various methods of data visualisation and cleaning (+ includes supplementary code). For anyone wanting to get involved in BCI applications with EEG it's a great start and doesn't take long. https://lnkd.in/eBbG57bv

Hello Friends. I am happy to share limited Free access to my Udemy course - "Signal Processing (Python) for Neuroscience Practical course" Sorry, free access is over, please. just send message to pieeg@pieeg.com with one word "course" and at begin of January I will send the link with free access This is my first time on Udemy, and I didn't know that in Udemu I have ability to use links for free limited access. I apologize for not sharing it right away, I'm correcting myself now. #EEG #learning #Udemy #pieeg #UdemyCourse #BCI #BrainComputerInterface #PythonProgramming #EEGData #DataScience

Value your customers. Support your team. Build great products. 🔥 These principles aren’t just nice-to-haves. They are the foundation of success for any organization. They will make or break your business. 🧐 At MindGarden we’re committed to these pillars every day. We deeply value our customers and their partnership, and we are endlessly proud of our incredible team who pour their expertise, energy, and passion into our mission. 💜 We don’t just build products - we create reliable, delightful, and collaborative solutions that center around our customers’ functional needs while prioritizing security, privacy, and scalability. Our #BCI research platform is built to simplify your workflow in the cloud and automatically scales with you as you grow. We’re committed to community and collaboration which is why we are taking an #openscience friendly approach in our design. We are fully device-agnostic and can meet you wherever you are in your research journey by supporting your existing device investments or by helping you build your own. 😎 We’re honored to be partners with innovators like PiEEG. Ildar Rakhmatulin has built some of the most reliable BCI hardware on the market, and his dedication to his customers’ success is nothing short of inspiring. His expertise and leadership are invaluable to our work. 🫶 MindGarden is also proud to be part of the EMOTIV developer ecosystem as we pursue a device-agnostic approach to research. Collaborating with some of the most recognizable names in BCI technology is both an honor and a testament to our mission to expand the boundaries of this field. 🙌 Calling all BCI hardware startups and organizations of any size: If you’re building innovative tools and technologies, we welcome your partnership. Our platform and ecosystem are growing, and we’re excited to support you. 👋🫶 BCI researchers, research institutions, or innovators interested in the next frontier of BCI products and software: We’d love to connect with you. Let’s explore how we can support your journey and help you achieve your goals. 👋💜 Wishing everyone an amazing week and a joyful holiday season ahead! Let’s keep building, growing, and transforming together. 🫶✌️✊

Hello, my friends 🎉🎉🎉 , bioscience, and neuroscience researchers, lecturers, students, and everyone who likes coding and brain-computer interfaces. I am really happy to share, that first time in my life I published a course on Udemy "Signal Processing with Python for Neuroscience, Practical course ". It is an especially practical course, a short example of how to implement the most popular algorithms in signal processing for EEG data, and easy (just copy from the course) to implement them in your applied tasks. So I believe short demonstrations with very easily readable and short scripts it is a quite short way to understand how to make signal processing. This course is perfectly suitable for datasets from the low-cost PiEEG device (available in Elecrow), but actually, datasets can be used from any device, since the structure of the dataset is the general format. As you know I worked for many years in hardware for low-cost and easy-to-apply brain-computer interfaces (BCI) however just hardware is not enough to achieve any task in neuroscience because EEG data is quite noisy and not stationary signals. so for this reason I collected all my projects for the last years in quite short and readable scripts, to provide an opportunity in real-time to see how works with algorithms for EEG, and easily change coefficients in see in the graph result.   So the signal process is the most important thing in EEG data as an engineer, I believe that providing applied knowledge is a short way to undestand what signal processing is for EEG and how to use it.  Finally, I've been a Udemy student for many years and have always loved the platform, so this is a new path, and really hope that I chose the correct way to represent my lessons. https://lnkd.in/ewfrBWcx #EEG #learning #Udemy #pieeg #UdemyCourse #BCI #BrainComputerInterface #PythonProgramming #EEGData #DataScience