A sub-scalp implant sensor for epilepsy seizure detection and treatment
Research team members: Peng Sun- Type I sub-scalp EEG implant electronics; Zhao Chen - Data receiver ASIC; Jules Antoine - Wireless power telemetry and high precision SAR ADC; Jian Xu (in charge) - Type II EEG implant electronics; Tong Wu - Digital circuits.
Collaborators: The clinical needs are defined by Steven Schachter at CIMIT/Harvard and Bryan McLaughlin at Draper Lab supported by an A*STAR-CIMIT grant. For signal processing and seizure prediction/detection, we are collaborating with Cuntai Guan at I2R-A*STAR. We have done bench-top testing and are preparing for animal experiments.
On-Chip Neural Signal Processing
Research team members: Tong Wu (in charge) - Neural signal processing hardware; Amir Rastegarnia, Yin Zhou - EC/PC spike data compression algorithm; Azam Khalili, Ke Zhao - EMPCA and Weighted PCA based spike feature extraction algorithm.
Collaborators: we are using animal experiment data recorded by Edward Keefer at Plexon (controlled rats experiments), Rosa So, Kai Keng Ang, and Cuntai Guan at A*STAR (100-ch chronic monkey experiemnts), and Victor Pikov at HMRI (16-ch chronic cat experiments) for algorithm and hardware development. We are collaborating with Lian Yong, ShihCheng Yen at ECE NUS, and Wentai Liu at UCLA, on algorithm/hardware development.
A Frequency-Shaping Neural Recorder with 3-pF Input Capacitance and "11+4.5"-bit Dynamic Range
Research team members: Jian Xu (in charge) - Frequency shaping neural amplifier and high precision ADC; Tong Wu - Signal processing hardware.
Mohammad Reza Keshtkaran, Md. Kafiul Islam - signal processing algorithm development.
Collaborators: We are collaborating with Wentai Liu at UCLA, ShihCheng Yen at the ECE Department NUS, Gavin Dawe at CLeS NUS, and Minkyu Je at IME-A*STAR.
Artifact Detection and Removal Algorithm and ASIC Implementation for Outpatients Monitoring
Research team members: Mohammad Reza Keshtkaran - algorithm and hardware AISC for powerline interference detection and cancellation. Md. Kafiul Islam, Amir Rastegarnia - artifact detection and removal algorithm.
Collaborators: we are using animal experiment data recorded by Rosa So and Cuntai Guan at A*STAR (100-ch chronic monkey experiments) and Victor Pikov at HMRI (16-ch chronic cat experiments) for algorithm and hardware development, and human data recorded by Shuo Wang at Caltech (100-ch, 1-10kHz, epilepsy patient recording).
A Multichannel Optical Stimulator Array for In-vitro Neuroscience Experiments
Research team members: Lei Cai (in charge), Baitong Wang - Optical stimulator design, prototyping, and measurement; Jian Xu - Neural recording Electronics.
Collaborators: We have done bench-top experiments. We are preparing in-vitro experiments with Antonius VanDongen at Duke-NUS and other labs as well.
Palpebral aperture recording and processsing for Ptosis patient
Research team members: Muhammad Azri Bin Razali (in charge) - algorithm, software, and experiments for palpebral aperture recording and processing; Tong Wu - Algorithm implementation in digital ASIC.
Collaborators: We are collaborating with clinicians Clement Tan, Stephanie Young, and Haze Lin at the Department of Ophthalmology NUHS for clinical trials with ptosis patients.
Visual neuromorphic system for saliency prediction and sense-making
Research team members: Tong Wu (in charge) - Integrated Circuits Design; Baitong Wang - System Design and Prototyping, Xiuxiang Huang - Frameware, Software.
Collaborators: The saliency prediction and object extraction algorithms are developed by Ming Jiang and Qi Zhao at the ECE Department NUS.
An Acute Implant for Breast Cancer Tumor Localization and Continuous Visualization
Research team members: Lei Cai, Zuiqiu Duan, Md. Kafiul Islam, Amir Rastegarnia, and Tasnuva Faruk.
Collaborators: We are collaborating with clinicians Anthony Tang and his colleagues at the Department of Surgery NUHS.
Due to the signing of NDA, detailed description of our technology is not available.
Other ongoing projects:
A closed-loop neural stimulator - simultaneous stimulation, recording, and signal processing: chip tape out scheduled in Apr/2014.
Wireless signal processing platform targeted for biomedical applications, co-investigated with Chun Huat Heng: chip tape out schedule in Jan/2014.
A smart shoe for foot pressure monitoring, co-investigated with NUS Sesame Center at IDMI: prototyping ongoing.
An ultra low noise, high precision neural recorder with integated spike detector for peripheral nerve recording, co-investigated with Edward Keefer at Plexon: chip tape out scheduled in May/2014.