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A 96-channel ASIC for sEMG Fatigue Monitoring with Compressed Sensing for Data Reduction.

, , , and . ISCAS, page 1-5. IEEE, (2018)

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Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness., , , , , , , , , and 8 other author(s). Frontiers Digit. Health, (March 2023)Deep Learning for Diabetes: A Systematic Review., , , and . IEEE J. Biomed. Health Informatics, 25 (7): 2744-2757 (2021)A 4-Channel sEMG ASIC with Real-Time Muscle Fatigue Feature Extraction., , , , and . ISCAS, page 1-5. IEEE, (2021)An ISFET Array for Ion Multiplexing with an Integrated Sensor Learning Algorithm., , and . ISCAS, page 1-5. IEEE, (2020)High-Throughput Digital Readout System for Real-Time Ion Imaging using CMOS ISFET Arrays., , and . ISCAS, page 1-5. IEEE, (2020)An Ion-to-Frequency ISFET Architecture for Ultra-Low Power Applications., , and . ISCAS, page 1-5. IEEE, (2020)A Digital ISFET Sensor with In-Pixel ADC., , , and . ISCAS, page 1-5. IEEE, (2021)Live demonstration: A handheld Bio-inspired Artificial pancreas for treatment of diabetes., , , , , , , and . BioCAS, page 172. IEEE, (2014)A neuromorphic based median frequency tracker for muscle fatigue monitoring., , and . BioCAS, page 232-235. IEEE, (2016)A weak inversion ISFET current mirror for differential bio-sensing., , and . BioCAS, page 42-45. IEEE, (2016)