IEEE Transactions on Biomedical Circuits & Systems

🧠🗣️ The article “A 40-nm 3.9 mW, 200 Words/Min Neural Signal Processor in Speech Decoding for Brain–Machine Interface” presents a low-power neural signal processor enabling real-time speech decoding for brain–machine interface systems. 🔗 Read: loom.ly/aY9TnC8

🧠📡 "Configurable γ Photon Spectrometer to Enable Precision Radioguided Tumor Resection" introduces a compact CMOS-based γ photon spectrometer designed to improve precision in radioguided tumor resection. 🔗 Read: loom.ly/OiZ_Ucw

📝 Ready to share your latest research with the biomedical circuits and systems community? The IEEE TBioCAS invites original, high-quality manuscripts at the intersection of circuits, systems, and biomedical applications. 👉 Learn more: loom.ly/P47qWmc

🧬 About IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) The IEEE TBioCAS is a leading, peer-reviewed journal at the intersection of circuits and systems engineering and the life sciences. 👉 Learn more about TBioCAS subscriptions: loom.ly/-weYbLg

🧠 New TBioCAS graphical abstract spotlight: A Neuromodulation System with Real-Time Neural Signals Recovery Overlapped Temporally and Spectrally with Stimulation Artifacts Read the full paper on IEEE Xplore®: loom.ly/TCJYRkA

🖐️ TBioCAS Graphical Abstract Highlight DERMIS: End-to-End Design of a Fully Integrated Large-Area Grasp-State-Adaptive Tactile Sensor System on a-IGZO TFT 📄 Read the paper: loom.ly/2dc7ovE

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🙏 Thank You, TBioCAS Reviewers Your dedication plays a vital role in ensuring the quality, integrity, and impact of TBioCAS. The journal’s success would not be possible without you. 🌍📘 🔍 Interested in becoming a reviewer? 👉 Learn morer:loom.ly/rEWA_v8

🧪📡 New Graphical Abstract: Millimeter-sized 0.1 pM-LoD Wireless 16-Channel Organic Electrochemical Transistors–Based Electrochemical Sensing SoC 🔗 Read the paper: loom.ly/GfuPQcQ #BiomedicalCircuits #Biosensor #ElectrochemicalSensing #WearableTech #ImplantableDevices

📚Looking to dive deeper into the intersection of circuits & systems and the life sciences? Explore the full archive of IEEE Transactions on Biomedical Circuits and Systems (#TBioCAS) on #IEEE #Xplore. 👉 Read past issues: loom.ly/FRu6g34

🧠✨ New Graphical Abstract: A 43 μm × 269 μm Light-Adaptive Optoelectronic Autonomous Microsystem for Neural Recording 🔗 Read the paper: loom.ly/OudZnyY

🔍 Become a TBioCAS Reviewer 👥 Interested in volunteering? Learn more about reviewer expectations and how to get involved: loom.ly/rEWA_v8

🧠🔋 New TBioCAS Graphical Abstract: A 6.78-MHz Wireless, Mode-Convertible Single-Stage Resonant CC/CV Battery Charger for Implantable Biomedical Devices 🔗 Read the paper: loom.ly/A9GA-_4 #IEEE #CASS #TBioCAS #Biomedical #ImplantableDevices #MedicalElectronics

🧠 New in IEEE TBioCAS: Self-Adaptive Pseudo-Resistors Enabling Millisecond-Level Artifact Recovery and High-Linearity for Neural Recording Front-Ends. 📄 Read the full paper: loom.ly/ZC9g12g #TBioCAS #NeuralInterfaces #BiomedicalCircuits #Neurotechnology

🏆 Who's got your vote for the 2026 IEEE CASS Best Paper Awards? Ready to submit a nomination or explore the award categories? 🔗 Learn more: loom.ly/0yksgKg #IEEECASS #CircuitsAndSystems #BestPaperAward #CallForNominations #ResearchCommunity

🧠 New Graphical Abstract in IEEE TBioCAS “A 7 mHz–6.29 Hz Configurable High-Pass Analog Front-End with Direct Tunneling Biasing and Output DC-Servo Loop” 📄 Read the full paper: loom.ly/yvt8poo #TBioCAS #BiomedicalCircuits #AnalogFrontEnds #NeuralInterfaces #CMOS

We're delighted to spotlight Associate Editor Dr. Yuanqi Hu from Beihang University! ✨ Dr. Hu has provided exceptional service to IEEE TBioCAS as an Associate Editor since 2022. We are deeply grateful for his expertise and hard work in advancing our journal and the field!

🔎 Elevate your research by utilizing our RSS feed feature! Access the latest from the IEEE Transactions on Biomedical Circuits and Systems here 👉 loom.ly/PLSubro #TBioCAS #RSSFeed #IEEE #IEEECASS #Biomedical #CircuitsandSystem

📘Explore "A 1024-Channel 0.8V 23.9-nW/Channel Event-based Compute In-memory Neural Spike Detector." 👉 Read the article: loom.ly/Xd9nBkc

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