A publication of the @ieeecassociety and @ieeeembs addressing the areas at the crossroads of Circuits and Systems and Life Sciences.
Joined September 2019
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440 Photos and videos
🧠🗣️ 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
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🧠📡 "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
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📝 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
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🧬 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
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🧠 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
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🖐️ 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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➿ Stay connected with the latest from the IEEE Transactions on Biomedical Circuits and Systems
🔗 Visit this link and click "Add title to my alerts" on the upper right side of the page to sign up for alerts 👉 loom.ly/Xi8w51E
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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
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🧪📡 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
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📚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
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🧠✨ New Graphical Abstract: A 43 μm × 269 μm Light-Adaptive Optoelectronic Autonomous Microsystem for Neural Recording
🔗 Read the paper: loom.ly/OudZnyY
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🔍 Become a TBioCAS Reviewer
👥 Interested in volunteering?
Learn more about reviewer expectations and how to get involved: loom.ly/rEWA_v8
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🧠🔋 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
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🧠 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
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🏆 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
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🧠 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
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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!
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🔎 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
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📘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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