An ECG-on-Chip for Wearable Cardiac Monitoring Devices. - Chacko John Deepu; Xiaoyuan Xu; Xiaodan Zou; Libin Yao; Yong Lian 001 (DELTA, 2010)

A computationally efficient QRS detection algorithm for wearable ECG sensors. - Y. Wang; Chacko John Deepu; Yong Lian 001 (EMBC, 2011)

A smart cushion for real-time heart rate monitoring. - Chacko John Deepu; Zhihao Chen 002; Ju Teng Teo; Soon Huat Ng; Xiefeng Yang; Yong Lian 001 (BioCAS, 2012)

Live demonstration: An ECG-on-Chip for wearable wireless sensors. - Chacko John Deepu; X. Zhang; Wen-Sin Liew; David Liang Tai Wong; Yong Lian 001 (APCCAS, 2014)

An ECG-SoC with 535nW/channel lossless data compression for wearable sensors. - Chacko John Deepu (CoRR, 2014)

An ECG-on-Chip With 535 nW/Channel Integrated Lossless Data Compressor for Wireless Sensors. - Chacko John Deepu; Xiaoyang Zhang; Wen-Sin Liew; David Liang Tai Wong; Yong Lian 001 (IEEE J. Solid State Circuits, 2014)

A low complexity lossless compression scheme for wearable ECG sensors. - Chacko John Deepu; Yong Lian 001 (DSP, 2015)

A Joint QRS Detection and Data Compression Scheme for Wearable Sensors. - Chacko John Deepu; Yong Lian 001 (IEEE Trans. Biomed. Eng., 2015)

An ECG-on-chip with joint QRS detection & data compression for wearable sensors. - Chacko John Deepu; X. Y. Zhang; D. L. T. Wong; Yong Lian 001 (ISCAS, 2016)

A 3-Lead ECG-on-Chip with QRS Detection and Lossless Compression for Wireless Sensors. - Chacko John Deepu; Xiaoyang Zhang; Chun-Huat Heng; Yong Lian 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Real-Time, Personalized Anomaly Detection in Streaming Data for Wearable Healthcare Devices. - Bharadwaj Veeravalli; Chacko John Deepu; DuyHoa Ngo (Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017)

A Hybrid Data Compression Scheme for Power Reduction in Wireless Sensors for IoT. - Chacko John Deepu; Chun-Huat Heng; Yong Lian 001 (IEEE Trans. Biomed. Circuits Syst., 2017)

Adaptive Learning and Analytics in Engineering Education. - Rajesh C. Panicker; Akash Kumar 001; Dipti Srinivasan; Deepu John (TALE, 2018)

A 2.3 µW ECG-On-Chip for Wireless Wearable Sensors. - Chacko John Deepu; X. Y. Xu; D. L. T. Wong; Chun-Huat Heng; Yong Lian 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Predicting Stroke from Electronic Health Records. - Chidozie Shamrock Nwosu; Soumyabrata Dev; Peru Bhardwaj; Bharadwaj Veeravalli; Deepu John (EMBC, 2019)

Introducing FPGA-based Machine Learning on the Edge to Undergraduate Students. - Rajesh C. Panicker; Akash Kumar 001; Deepu John (FIE, 2020)

An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors. - Arlene John; Salim Ullah; Akash Kumar 001; Barry Cardiff; Deepu John (ICECS, 2020)

A 1D Convolutional Neural Network for Heartbeat Classification from Single Lead ECG. - Xiaolin Li; Barry Cardiff; Deepu John (ICECS, 2020)

Low Complexity ECG Biometric Authentication for IoT Edge Devices. - Guoxin Wang 003; Deepu John; Avishek Nag (ICTA, 2020)

A Generalized Signal Quality Estimation Method for IoT Sensors. - Arlene John; Barry Cardiff; Deepu John (ISCAS, 2020)

Identifying Stroke Indicators Using Rough Sets. - Muhammad Salman Pathan; Jianbiao Zhang; Deepu John; Avishek Nag; Soumyabrata Dev (IEEE Access, 2020)

Binary Classifiers for Data Integrity Detection in Wearable IoT Edge Devices. - Arlene John; Rajesh C. Panicker; Barry Cardiff; Yong Lian 001; Deepu John (IEEE Open J. Circuits Syst., 2020)

Low Power Optimisations for IoT Wearable Sensors Based on Evaluation of Nine QRS Detection Algorithms. - Jiamin Li; Adnan Ashraf; Barry Cardiff; Rajesh C. Panicker; Yong Lian 001; Deepu John (IEEE Open J. Circuits Syst., 2020)

Slope-Based Event-Driven Feature Extraction For Cardiac Arrhythmia Classification. - Julien Duforest; Benoît Larras; Deepu John; Olev Märtens; Antoine Frappé (BioCAS, 2021)

SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches. - Arlene John; Koushik Kumar Nundy; Barry Cardiff; Deepu John (EMBC, 2021)

Multistage Pruning of CNN Based ECG Classifiers for Edge Devices. - Xiaolin Li; Rajesh C. Panicker; Barry Cardiff; Deepu John (EMBC, 2021)

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals. - Margus Metshein; Antoine Gautier 003; Benoit Larras; Antoine Frappé; Deepu John; Barry Cardiff; Paul Annus; Raul Land; Olev Märtens (EMBC, 2021)

Fully Remote Project-Based Learning of Hardware/Software Codesign. - Rajesh C. Panicker; Deepu John (FIE, 2021)

A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors. - Arlene John; Barry Cardiff; Deepu John (ISCAS, 2021)

Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset. - Maryam Saeed; Qingyuan Wang 002; Olev Märtens; Benoit Larras; Antoine Frappé; Barry Cardiff; Deepu John (ISCAS, 2021)

Continuous User Authentication Using IoT Wearable Sensors. - Conor Smyth; Guoxin Wang 003; Rajesh C. Panicker; Avishek Nag; Barry Cardiff; Deepu John (ISCAS, 2021)

Resource and Energy Efficient Implementation of ECG Classifier Using Binarized CNN for Edge AI Devices. - David Liang Tai Wong; Yongfu Li 002; Deepu John; Weng Khuen Ho; Chun-Huat Heng (ISCAS, 2021)

Embedded ICG-based Stroke Volume Measurement System: Comparison of Discrete-Time and Continuous-Time Architectures. - Antoine Gautier 003; Benoît Larras; Olev Märtens; Deepu John; Antoine Frappé (SoCC, 2021)

Special Section on Edge AI and Accelerators. - Deepu John; Yongfu Li 002; Xinmiao Zhang 001 (IEEE Open J. Circuits Syst., 2021)

Guest Editorial Special Issue on Selected Papers From ISCAS 2021. - Deepu John; Tony Tae-Hyoung Kim; Matthew L. Johnston (IEEE Trans. Biomed. Circuits Syst., 2021)

Multimodal Multiresolution Data Fusion Using Convolutional Neural Networks for IoT Wearable Sensing. - Arlene John; Koushik Kumar Nundy; Barry Cardiff; Deepu John (IEEE Trans. Biomed. Circuits Syst., 2021)

Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification. - Maryam Saeed; Qingyuan Wang 002; Olev Märtens; Benoit Larras; Antoine Frappé; Barry Cardiff; Deepu John (IEEE Trans. Biomed. Circuits Syst., 2021)

Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials. - Maryam Saeed; Olev Märtens; Benoit Larras; Antoine Frappé; Deepu John; Barry Cardiff (BioCAS, 2022)

Fiducial Point Estimation Solution for Impedance Cardiography Measurements. - Olev Märtens; Margus Metshein; Anar Abdullayev; Benoit Larras; Antoine Frappé; Antoine Gautier 003; Maryam Saeed; Deepu John; Barry Cardiff; Andrei Krivosei; Paul Annus; Marek Rist (I2MTC, 2022)

Accurate Reconstruction of ECG Signals using Chebyshev Polynomials. - Maryam Saeed; Deepu John; Barry Cardiff (ICECS 2022, 2022)

Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors. - Qingyuan Wang 002; Antoine Frappé; Benoit Larras; Barry Cardiff; Deepu John (ICECS 2022, 2022)

Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices. - Li Xiaolin; Qingyuan Wang 002; Rajesh C. Panicker; Barry Cardiff; Deepu John (ICECS 2022, 2022)

Antidictionary-Based Cardiac Arrhythmia Classification For Smart ECG sensors. - Julien Duforest; Benoît Larras; Antoine Frappé; Chacko John Deepu; Olev Märtens (ISCAS, 2022)

Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks. - Xiu Qi Chang; Ann Feng Chew; Benjamin Chen Ming Choong; Shuhui Wang; Rui Han; Wang He; Li Xiaolin; Rajesh C. Panicker; Deepu John (LASCAS, 2022)

A predictive analytics approach for stroke prediction using machine learning and neural networks. - Soumyabrata Dev; Hewei Wang 001; Chidozie Shamrock Nwosu; Nishtha Jain; Bharadwaj Veeravalli; Deepu John (CoRR, 2022)

Classification of ECG based on Hybrid Features using CNNs for Wearable Applications. - Xiaolin Li; Fang Xiang; Rajesh C. Panicker; Barry Cardiff; Deepu John (CoRR, 2022)

A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors. - Arlene John; Stephen J. Redmond; Barry Cardiff; Deepu John (IEEE Internet Things J., 2022)

ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors. - Gawsalyan Sivapalan; Koushik Kumar Nundy; Soumyabrata Dev; Barry Cardiff; Deepu John (IEEE Trans. Biomed. Circuits Syst., 2022)

An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices. - David Liang Tai Wong; Yongfu Li 002; Deepu John; Weng Khuen Ho; Chun-Huat Heng (IEEE Trans. Biomed. Circuits Syst., 2022)

Low Complexity Binarized 2D-CNN Classifier for Wearable Edge AI Devices. - David Liang Tai Wong; Yongfu Li 002; Deepu John; Weng Khuen Ho; Chun-Huat Heng (IEEE Trans. Biomed. Circuits Syst., 2022)

A Background Calibration for Joint Mismatch in the OFDM System With Time-Interleaved ADC. - Haoyang Shen; Deepu John; Barry Cardiff (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Classification of ECG based on Hybrid Features using CNNs for Wearable Applications. - Li Xiaolin; Fang Xiang; Rajesh C. Panicker; Barry Cardiff; Deepu John (AICAS, 2023)

Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis. - Guoxin Wang 003; Qingyuan Wang 002; Ganesh Neelakanta Iyer; Avishek Nag; Deepu John (BioCAS, 2023)

Correcting ADC jitter using DPLL timing error signal. - Haoyang Shen; Hao Zheng; Daniel O'Hare; Deepu John; Barry Cardiff (NEWCAS, 2023)

Decentralised Biomedical Signal Classification using Early Exits. - Li Xiaolin; Hans Vandierendonck; Dimitrios S. Nikolopoulos; Bo Jin 001; Barry Cardiff; Deepu John (NEWCAS, 2023)

Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for Biomedical Applications. - Antoine Gautier 003; Benoît Larras; Olev Märtens; Deepu John; Antoine Frappé (NorCAS, 2023)

P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification. - Shaowu Chen; Weize Sun; Lei Huang 001; Xiaopeng Li 005; Qingyuan Wang 002; Deepu John (CoRR, 2023)

A DSP-Based EBI, ECG, and PPG Measurement Platform. - Anar Abdullayev; Marek Rist; Olev Märtens; Margus Metshein; Benoit Larras; Antoine Frappé; Antoine Gautier 003; Mart Min; Deepu John; Barry Cardiff; Andrei Krivosei; Paul Annus (IEEE Trans. Instrum. Meas., 2023)

A Foreground Mismatch and Memory Harmonic Distortion Calibration Algorithm for TIADC. - Haoyang Shen; Adam Blaq; Deepu John; Barry Cardiff (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network. - Quang-Manh Duong; Quang-Kien Trinh; Van-Tinh Nguyen; Dinh-Ha Dao; Luong Duy Manh; Van-Phuc Hoang; Longyang Lin; Chacko John Deepu (Int. J. Circuit Theory Appl., 2023)

An evaluation of ECG data fusion algorithms for wearable IoT sensors. - Arlene John; Antony Padinjarathala; Emer Doheny; Barry Cardiff; Deepu John (Inf. Fusion, 2023)

Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors. - Gawsalyan Sivapalan; Koushik Kumar Nundy; Alex Pappachen James; Barry Cardiff; Deepu John (IEEE Internet Things J., 2023)

ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits. - Vineeta Vasudevan Nair; Chithra Reghuvaran; Deepu John; Bhaskar Choubey; Alex James 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro. - Van-Ngoc Dinh; Ngoc-My Bui; Van-Tinh Nguyen; Deepu John; Longyang Lin; Quang-Kien Trinh (Neurocomputing, 2023)

Tiny Models are the Computational Saver for Large Models. - Qingyuan Wang 002; Barry Cardiff; Antoine Frappé; Benoit Larras; Deepu John (ECCV (56), 2024)

Implementation and analysis of custom instructions on RISC-V for Edge-AI applications. - Ajay Kumar M; Vineet Kumar 002; Deepu John; Shreejith Shanker (HEART, 2024)

KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer. - Aness Al-Qawlaq; Ajay Kumar M; Deepu John (SOCC, 2024)

ECG Classification With Event-Driven Sampling. - Maryam Saeed; Olev Martens; Benoit Larras; Antoine Frappé; Deepu John; Barry Cardiff (IEEE Access, 2024)

A Background Jitter Calibration for ADCs Using TDC Phase Information From ADPLL. - Haoyang Shen; Hao Zheng; Daniel O'Hare; Deepu John; Barry Cardiff (IEEE Access, 2024)

DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling. - Qingyuan Wang 002; Barry Cardiff; Antoine Frappé; Benoit Larras; Deepu John (CoRR, 2024)

HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments. - Kazi Hasan Ibn Arif; JinYi Yoon; Dimitrios S. Nikolopoulos; Hans Vandierendonck; Deepu John; Bo Jin 001 (CoRR, 2024)

POCKET: Pruning random convolution kernels for time series classification from a feature selection perspective. - Shaowu Chen; Weize Sun; Lei Huang 001; Xiaopeng Li 005; Qingyuan Wang 002; Deepu John (Knowl. Based Syst., 2024)

Class-Separation Preserving Pruning for Deep Neural Networks. - Inder Preet; Oisín Boydell; Deepu John (IEEE Trans. Artif. Intell., 2024)

FEC-Aided Decision Feedback Blind Mismatch Calibration of TIADCs in Wireless Time-Varying Channel Environments. - Haoyang Shen; Deepu John; Barry Cardiff (IEEE Trans. Very Large Scale Integr. Syst., 2024)

ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors. - Guoxin Wang 003; Shreejith Shanker; Avishek Nag; Yong Lian 001; Deepu John (IEEE J. Biomed. Health Informatics, 2024)

HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models. - Kazi Hasan Ibn Arif; JinYi Yoon; Dimitrios S. Nikolopoulos; Hans Vandierendonck; Deepu John; Bo Ji 001 (AAAI, 2025)

DCentNet: Decentralized multistage biomedical signal classification using early exits. - Xiaolin Li; Binhua Huang; Barry Cardiff; Deepu John (Biomed. Signal Process. Control., 2025)

MLFusion: Multilevel Data Fusion using CNNS for atrial fibrillation detection. - Arlene John; Keshab K. Parhi; Barry Cardiff; Deepu John (Comput. Biol. Medicine, 2025)

DyCE: Dynamically Configurable Exiting for deep learning compression and real-time scaling. - Qingyuan Wang 002; Barry Cardiff; Antoine Frappé; Benoit Larras; Deepu John (Future Gener. Comput. Syst., 2025)

Multimodal fusion for robust respiratory rate estimation in wearable sensing. - Arlene John; He Wang; Barry Cardiff; Keshab K. Parhi; Deepu John (Inf. Fusion, 2025)

ORXE: Orchestrating Experts for Dynamically Configurable Efficiency. - Qingyuan Wang 002; Guoxin Wang 003; Barry Cardiff; Deepu John (CoRR, 2025)

SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving. - Xiangchen Li; Dimitrios Spatharakis; Saeid Ghafouri; Jiakun Fan; Hans Vandierendonck; Deepu John; Bo Ji 001; Dimitrios S. Nikolopoulos (CoRR, 2025)

QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference. - Xiangchen Li; Saeid Ghafouri; Bo Ji 001; Hans Vandierendonck; Deepu John; Dimitrios S. Nikolopoulos (CoRR, 2025)

Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices. - Saeid Ghafouri; Mohsen Fayyaz; Xiangchen Li; Deepu John; Bo Ji 001; Dimitrios S. Nikolopoulos; Hans Vandierendonck (CoRR, 2025)

MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI. - Ajay Kumar M; Cian O'Mahoney; Pedro Kreutz Werle; Shreejith Shanker; Dimitrios S. Nikolopoulos; Bo Ji 001; Hans Vandierendonck; Deepu John (CoRR, 2025)

Optimal Brain Connection: Towards Efficient Structural Pruning. - Shaowu Chen; Wei Ma; Binhua Huang; Qingyuan Wang 002; Guoxin Wang 003; Weize Sun; Lei Huang 001; Deepu John (CoRR, 2025)