Browsing by Author "Pamula, Venkata Rajesh"
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Publication A 172 $lW compressive sampling photoplethysmographic readout with embedded direct heart-rate and variability extraction from compressively sampled data
Proceedings paper2016-02, IEEE International Solid State Circuits Conference - ISSCC, 31/01/2016, p.386-387Publication A 172 μW compressively sampled photoplethysmographic (PPG) readout ASIC with heart rate estimation directly from compressively sampled data
Journal article2017, IEEE Transactions on Biomedical Circuits and Systems, (11) 3, p.487-496Publication A 17nA, 47.2 dB dynamic range, adaptive sampling controller for online data rate reduction in low power ECG systems
Proceedings paper2016, IEEE Biomedical Circuits and Systems Conference - BioCAS, 20/10/2016, p.272-275Publication A 680nA ECG acquisition IC for leadless pacemaker applications
;Yan, Long ;Harpe, Pieter ;Pamula, Venkata Rajesh ;Osawa, Masato ;Harada, YasunariTamiya, KoseiJournal article2014, IEEE Transactions on Biomedical Circuits and Systems, (8) 6, p.779-786Publication A novel feature extraction algorithm for on the sensor node processing of compressive sampled photoplethysmography signals
Proceedings paper2015, IEEE Sensors, 1/11/2015, p.ID 2024Publication A switched-capacitor degenerated, scalable gm-C filter-bank for acoustic front-ends
Proceedings paper2016, IEEE International Symposium on Circuits and Systems - ISCAS, 22/05/2016, p.818-821Publication A wearable wrist-band with compressive sensing based ultra-low power photoplethysmography readout circuit
;Ahmmed, Parvez ;Valero-Sarmiento, Jose Manual ;Dieffenderfer, JamesPamula, Venkata RajeshProceedings paper2019, 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 19/05/2019Publication Computationally-efficient compressive sampling for low-power pulseoximeter system
Proceedings paper2014, IEEE Conference on Biomedical Circuits and Systems - BioCAS, 22/10/2014, p.69-72Publication Heart and variability estimation with direct computations on compressively sampled photoplethysomographic signals
Proceedings paper2015, IEEE Biomedical Circuits and Systems Conference - BioCAS, 22/10/2015Publication PHIDIAS: Ultra-low-power holistic design for smart bio-signals computing platforms
Proceedings paper2016, ACM Conference on Computing Frontiers - CF, 16/05/2016, p.309-314