Chacko John Deepu

Orcid: 0000-0002-6139-1100

Affiliations:
  • University College Dublin, School of Electrical and Electronic Engineering, Ireland
  • National University of Singapore, Department of Electrical and Computer Engineering, Singapore


According to our database1, Chacko John Deepu authored at least 69 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Class-Separation Preserving Pruning for Deep Neural Networks.
IEEE Trans. Artif. Intell., January, 2024

Tiny Models are the Computational Saver for Large Models.
CoRR, 2024

DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling.
CoRR, 2024

ECG Classification With Event-Driven Sampling.
IEEE Access, 2024

2023
NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro.
Neurocomputing, December, 2023

ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors.
IEEE Internet Things J., August, 2023

An evaluation of ECG data fusion algorithms for wearable IoT sensors.
Inf. Fusion, August, 2023

A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network.
Int. J. Circuit Theory Appl., July, 2023

A Foreground Mismatch and Memory Harmonic Distortion Calibration Algorithm for TIADC.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2023

A DSP-Based EBI, ECG, and PPG Measurement Platform.
IEEE Trans. Instrum. Meas., 2023

P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification.
CoRR, 2023

Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for Biomedical Applications.
Proceedings of the IEEE Nordic Circuits and Systems Conference, 2023

Decentralised Biomedical Signal Classification using Early Exits.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Correcting ADC jitter using DPLL timing error signal.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Classification of ECG based on Hybrid Features using CNNs for Wearable Applications.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
A Background Calibration for Joint Mismatch in the OFDM System With Time-Interleaved ADC.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Low Complexity Binarized 2D-CNN Classifier for Wearable Edge AI Devices.
IEEE Trans. Biomed. Circuits Syst., 2022

An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices.
IEEE Trans. Biomed. Circuits Syst., 2022

ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.
IEEE Trans. Biomed. Circuits Syst., 2022

A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors.
IEEE Internet Things J., 2022

Classification of ECG based on Hybrid Features using CNNs for Wearable Applications.
CoRR, 2022

A predictive analytics approach for stroke prediction using machine learning and neural networks.
CoRR, 2022

Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks.
Proceedings of the 13th IEEE Latin America Symposium on Circuits and System, 2022

Antidictionary-Based Cardiac Arrhythmia Classification For Smart ECG sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Accurate Reconstruction of ECG Signals using Chebyshev Polynomials.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Fiducial Point Estimation Solution for Impedance Cardiography Measurements.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification.
IEEE Trans. Biomed. Circuits Syst., 2021

Multimodal Multiresolution Data Fusion Using Convolutional Neural Networks for IoT Wearable Sensing.
IEEE Trans. Biomed. Circuits Syst., 2021

Guest Editorial Special Issue on Selected Papers From ISCAS 2021.
IEEE Trans. Biomed. Circuits Syst., 2021

Special Section on Edge AI and Accelerators.
IEEE Open J. Circuits Syst., 2021

Embedded ICG-based Stroke Volume Measurement System: Comparison of Discrete-Time and Continuous-Time Architectures.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Continuous User Authentication Using IoT Wearable Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Fully Remote Project-Based Learning of Hardware/Software Codesign.
Proceedings of the IEEE Frontiers in Education Conference, 2021

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multistage Pruning of CNN Based ECG Classifiers for Edge Devices.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Slope-Based Event-Driven Feature Extraction For Cardiac Arrhythmia Classification.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020
Low Power Optimisations for IoT Wearable Sensors Based on Evaluation of Nine QRS Detection Algorithms.
IEEE Open J. Circuits Syst., 2020

Binary Classifiers for Data Integrity Detection in Wearable IoT Edge Devices.
IEEE Open J. Circuits Syst., 2020

Identifying Stroke Indicators Using Rough Sets.
IEEE Access, 2020

A Generalized Signal Quality Estimation Method for IoT Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Low Complexity ECG Biometric Authentication for IoT Edge Devices.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

A 1D Convolutional Neural Network for Heartbeat Classification from Single Lead ECG.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

Introducing FPGA-based Machine Learning on the Edge to Undergraduate Students.
Proceedings of the IEEE Frontiers in Education Conference, 2020

2019
Predicting Stroke from Electronic Health Records.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A 2.3 µW ECG-On-Chip for Wireless Wearable Sensors.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Adaptive Learning and Analytics in Engineering Education.
Proceedings of the IEEE International Conference on Teaching, 2018

2017
A Hybrid Data Compression Scheme for Power Reduction in Wireless Sensors for IoT.
IEEE Trans. Biomed. Circuits Syst., 2017

Real-Time, Personalized Anomaly Detection in Streaming Data for Wearable Healthcare Devices.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2016
A 3-Lead ECG-on-Chip with QRS Detection and Lossless Compression for Wireless Sensors.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

An ECG-on-chip with joint QRS detection & data compression for wearable sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
A Joint QRS Detection and Data Compression Scheme for Wearable Sensors.
IEEE Trans. Biomed. Eng., 2015

A low complexity lossless compression scheme for wearable ECG sensors.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014
An ECG-on-Chip With 535 nW/Channel Integrated Lossless Data Compressor for Wireless Sensors.
IEEE J. Solid State Circuits, 2014

A Smart Cushion for Real-Time Heart Rate Monitoring.
CoRR, 2014

An ECG-SoC with 535nW/channel lossless data compression for wearable sensors.
CoRR, 2014

Live demonstration: An ECG-on-Chip for wearable wireless sensors.
Proceedings of the 2014 IEEE Asia Pacific Conference on Circuits and Systems, 2014

2012
A smart cushion for real-time heart rate monitoring.
Proceedings of the 2012 IEEE Biomedical Circuits and Systems Conference, 2012

2011
A computationally efficient QRS detection algorithm for wearable ECG sensors.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
An ECG-on-Chip for Wearable Cardiac Monitoring Devices.
Proceedings of the Fifth IEEE International Symposium on Electronic Design, 2010


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