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Convolutional Autoencoder for Real-Time PPG Based Blood Pressure Monitoring Using TinyML.

, , , and . ICM, page 41-45. IEEE, (2023)

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A comparative analysis of optimized low-power comparators for biomedical-ADCs., , , , , and . ICM, page 1-4. IEEE, (2017)Convolutional Autoencoder for Real-Time PPG Based Blood Pressure Monitoring Using TinyML., , , and . ICM, page 41-45. IEEE, (2023)Hall sensor system design and modeling for current-measurement in power meters., , , and . ICM, page 49-52. IEEE, (2016)10Gbit/s 2mW inductorless transimpedance amplifier., and . ISCAS, page 1728-1731. IEEE, (2012)On Failure Propagation in Component-Based Software Systems., and . QSIC, page 402-411. IEEE Computer Society, (2008)Live demonstration: A support vector machine based hardware platform for blood pressure prediction., , , , , , and . BioCAS, page 130. IEEE, (2016)Non-Invasive Continuous Real-Time Blood Glucose Estimation Using PPG Features-based Convolutional Autoencoder with TinyML Implementation., , , , , and . ISCAS, page 1-5. IEEE, (2024)Optical Receiver Using Noise Cancelling With an Integrated Photodiode in 40 nm CMOS Technology., and . IEEE Trans. Circuits Syst. I Regul. Pap., 60-I (7): 1929-1936 (2013)An ECG-Based Blood Pressure Estimation Using U-Net auto-encoder and Random Forest Regressor., , , and . ICM, page 107-112. IEEE, (2023)A Control Flow Representation for Component-Based Software Reliability Analysis., and . SERE, page 1-10. IEEE, (2012)