PiEEG

We are in Indiegogo with a PiEEG kit - it is all in one box to measure EEG and signals from your 𝐛𝐫𝐚𝐢𝐧 and 𝐛𝐨𝐝𝐲, great tool for neuroscientists and bioscientist as well!

Friends. Great news for neuroscientists and brain enthusiasts! This 𝐋𝐨𝐰-𝐂𝐨𝐬𝐭 𝐚𝐥𝐥-𝐢𝐧-𝐨𝐧𝐞 𝐄𝐄𝐆 𝐜𝐚𝐩 𝐤𝐢𝐭 includes everything you need for an 8-electrode wet setup available from today in our partner marketplace Elecrow: - 8 𝐀𝐠/𝐀𝐠𝐂𝐥 𝐄𝐄𝐆 wet electrodes with cables - 2 𝐜𝐥𝐢𝐩𝐬 𝐀𝐠/𝐀𝐠𝐂𝐥 electrodes - Nylon cap, international electrode placement system 10-20. Recently, we conducted a 𝐬𝐮𝐫𝐯𝐞𝐲 to understand user preferences between 𝐰𝐞𝐭 and 𝐝𝐫𝐲 electrodes. The results show that more and more people are willing to accept the drawbacks of wet electrodes in exchange for a higher-quality EEG signal. 𝐅𝐨𝐫 𝐝𝐞𝐭𝐚𝐢𝐥𝐬  https://lnkd.in/expmgM83 #Neuroscience #EEGTechnology #BrainResearch #NeuroscienceTools #BrainMapping #CognitiveScience #NeurotechInnovation #BrainWaveAnalysis #NeuroimagingTech #BrainStudy

Hello Friends,  24 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 𝐄𝐄𝐆 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐦𝐞𝐧𝐭 𝐯𝐢𝐚 𝐑𝐚𝐬𝐛𝐞𝐫𝐫𝐲𝐏𝐢 with PiEEG, I did not move on increasing the channels for a long time, because I was afraid that Raspberry Pi would not have enough speed to process the data, but Pi5 inspired optimism in me, well, let's see how software will ready for that to 𝐞𝐚𝐝 𝐄𝐄𝐆 𝐚𝐧𝐝 𝐦𝐚𝐤𝐞 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐭𝐡𝐞 𝐝𝐞𝐯𝐢𝐜𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐫𝐚𝐧𝐬𝐟𝐞𝐫𝐫𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐯𝐢𝐚 𝐰𝐢𝐫𝐞𝐥𝐞𝐬𝐬  and I think this is the final version for PiEEG, if more channels are needed, we will have to move to another direction there are still a lot of technical issues to be resolved so as not to add unnecessary noise, but every evening I am closer to it) #neuroscince #brain #PCB #innovation #hardware #EEG

Hello Friends! Quick question, 𝐝𝐨 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐝𝐫𝐲 𝐨𝐫 𝐰𝐞𝐭 𝐞𝐥𝐞𝐜𝐭𝐫𝐨𝐝𝐞𝐬 to measure EEG? I've always favored dry electrodes for convenience, but sometimes wet electrodes are necessary for cleaner signals, as much as I wouldn't like it I'm planning to provide wet electrodes Cap Kit for the PiEEG device, which allows EEG measurement via Raspberry Pi #EEG #electrodes #BCI #neuroscience #Neurotechnology #BrainComputerInterface #EEGInnovation

Excited to share I recently completed the "Signal Processing (Python) for Neuroscience Practical Course" on Udemy. This course has been an incredible opportunity to gain practical understanding of EEG signals and develop practical skills in Python for signal processing. A huge thank you to Ildar Rakhmatulin for designing and tutoring this course. It has been an enriching experience. The practical nature of the course has helped me; ✅ Understand the basics of EEG signals and their origin. ✅ Master Python for signal processing tasks, including data manipulation and visualization. ✅ Learn to preprocess EEG data with techniques like filtering and artifact removal. ✅ Apply advanced methods like time-frequency analysis and spectral techniques. Looking forward to applying these skills to exciting research projects in neuroscience and related fields! 🚀 Access the course via the link below https://lnkd.in/epGzEz8Y #Neuroscience #SignalProcessing #Python #EEGAnalysis

Hello Friends. In 2025 I am happy to share limited Free access to my Udemy course - "Signal Processing (Python) for Neuroscience Practical Course" You have free access via the next link  https://lnkd.in/epGzEz8Y if free access is over, please. just send a message to pieeg@pieeg.com I've worked a lot on open source for hardware, and now I'm trying to do the same for data processing. and Happy New Year to those who have already returned to work and those who continue to rest By the way, course is suitable for PiEEG devices #EEG #learning #Udemy #pieeg #UdemyCourse #BCI #BrainComputerInterface #PythonProgramming #EEGData #DataScience

Thank you GAGAN SONI it is pleasant to hear that!

Happy New Year everyone, Probably 2024 was not the best for many of us, I really believe and more hope that the new year brings for us the bright future that we deserve!  PEEG for 2025 has many plans in the field of EEG, wearables, virtual reality, healthcare, and much more, all the best to all #eeg #emg #bci #science #startup

64 EEG channels reading with feature extraction in real-time via Jetson Nano (Orin), doest it make sense?

It is a pleasure to receive a positive comment about my Course - "Signal processing (Python) for Neuroscience Practical course"