L
Lei Yao
Researcher at Agency for Science, Technology and Research
Publications - 54
Citations - 543
Lei Yao is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Signal & CMOS. The author has an hindex of 13, co-authored 51 publications receiving 464 citations. Previous affiliations of Lei Yao include McGill University.
Papers
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Journal ArticleDOI
A 100-Channel 1-mW Implantable Neural Recording IC
Xiaodan Zou,Lei Liu,Jia Hao Cheong,Lei Yao,Peng Li,Ming-Yuan Cheng,Wang Ling Goh,Ramamoorthy Rajkumar,Gavin S. Dawe,Kuang-Wei Cheng,Minkyu Je +10 more
TL;DR: A dual sample-and-hold architecture is proposed, which extends the sampling time of the ADC and reduces the average power per channel by more than 50% compared to the conventional multiplexing neural recording system.
Journal ArticleDOI
Independent Mobility Achieved through a Wireless Brain-Machine Interface
Camilo Libedinsky,Rosa So,Zhiming Xu,Toe K. Kyar,Duncun Ho,Clement Lim,Louiza Chan,Yuanwei Chua,Lei Yao,Jia Hao Cheong,Junghyup Lee,Kulkarni Vinayak Vishal,Yong-Xin Guo,Zhi Ning Chen,Zhi Ning Chen,Lay K. Lim,Peng Li,Lei Liu,Xiaodan Zou,Kai Keng Ang,Yuan Gao,Wai Hoe Ng,Boon Siew Han,Keefe Chng,Cuntai Guan,Cuntai Guan,Minkyu Je,Shih-Cheng Yen +27 more
TL;DR: It is demonstrated that independent mobility can be achieved without first training on prescribed motor movements, opening the door for the implementation of this technology in persons with tetraplegia.
Journal ArticleDOI
A Sub- ${\mu}$ W/Ch Analog Front-End for $\Delta $ -Neural Recording With Spike-Driven Data Compression
TL;DR: A fully implantable neural recording IC with a spike-driven data compression scheme to improve the power efficiency and preserve crucial data for monitoring brain activities and successfully demonstrated precise spike detection through both in vitro and in vivo acquisition of the neural signal.
Journal ArticleDOI
CMOS Conductometric System for Growth Monitoring and Sensing of Bacteria
Lei Yao,P Lamarche,Nancy Tawil,Rifat Khan,A M Aliakbar,M.H. Hassan,Vamsy P. Chodavarapu,Rosemonde Mandeville +7 more
TL;DR: The novelty in the current work lies in the ability of the CMOS sensor system to monitor very low initial concentrations of bacteria (4×102 to 4×104 colony forming unit (CFU)/mL).
Proceedings ArticleDOI
100-Channel wireless neural recording system with 54-Mb/s data link and 40%-efficiency power link
Kuang-Wei Cheng,Xiaodan Zou,Jia Hao Cheong,Rui-Feng Xue,Zhiming Chen,Lei Yao,Hyouk-Kyu Cha,San Jeow Cheng,Peng Li,Lei Liu,Luis Andia,Chee Keong Ho,Ming-Yuan Cheng,Zhu Duan,Ramamoorthy Rajkumar,Yuanjin Zheng,Wang Ling Goh,Yong-Xin Guo,Gavin S. Dawe,Woo-Tae Park,Minkyu Je +20 more
TL;DR: This paper presents a complete chipset for a 100-channel wireless neural recording system, which consists of 3 ICs - a neural interface (NI) IC and a wireless power RX and data TX IC for an implant unit (IU), and an external head unit (EHU).