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Sanyal, Arindam

https://orcid.org/0000-0003-4045-6291

Mayo Clinic

Arizona State University

Citations 13

Balancing Speed and Accuracy for Robust Analog-Mixed Signal Circuit Design using Closed-Loop Reinforcement Learning with Ensemble Neural Network Surrogates
Guo, Zuwei, Fu, Jie, Bhanushali, Sumukh, Zeng, Zehua , Banerjee, Imon, Bhanushali, Sumukh Prashant , Sanyal, Arindam

2026 IEEE International Symposium on Circuits and Systems (ISCAS) | June 18, 2026 | Volume: No volume available | Issue: No issue available | Pages: 803-807

10.1109/iscas66217.2026.11562451 Get It

Prediction of Acute Kidney Injury Onset using Electrocardiograph and Demographic data through Reservoir Computer On-Chip
Gupta, Tushar , Damodaran, Vasundhara , Banerjee, Imon, Sanchez, Jose , Banerjee, Imon , Sanyal, Arindam

2025 IEEE Biomedical Circuits and Systems Conference (BioCAS) | January 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: 433-437

10.1109/biocas67066.2025.00099 Get It

Low-Power Flexible Classifier Chip for Atrial Fibrillation Detection
Sanchez, Jose , Bhanushali, Sumukh Prashant , Sadasivuni, Sudarsan , Banerjee, Imon , Sanyal, Arindam , Banerjee, Imon

IEEE Transactions on Circuits and Systems for Artificial Intelligence | August 14, 2025 | Volume: 2 | Issue: 4 | Pages: 326-336

10.1109/tcasai.2025.3597591 Get It

AI-Enabled Fusion of Electrocardiograph and Demographics for Prediction of Acute Kidney Injury Onset
Damodaran, Vasundhara , Sanchez, Jose , Gupta, Tushar , Bikkina, Phaneendra , Mikkola, Esko, Haidar, Abdul-Muhsin, Mikkola, Esko, Banerjee, Imon , Sanyal, Arindam

2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) | December 23, 2024 | Volume: No volume available | Issue: No issue available | Pages: 1-5

10.1109/biocas61083.2024.10798304 Get It

Mixed-Signal Classifier Chip on Flexible Substrate for Cardiovascular Health Monitoring
Bhanushali, Sumukh Prashant , Sadasivuni, Sudarsan , Sanchez, Jose, Banerjee, Imon , Sanyal, Arindam

2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) | December 23, 2024 | Volume: No volume available | Issue: No issue available | Pages: 1-5

10.1109/biocas61083.2024.10798218 Get It

AI-Enabled Fusion of Electrocardiograph and Demographics for Prediction of Acute Kidney Injury Onset
Damodaran, Vasundhara , Sanchez, Jose , Gupta, Tushar , Bikkina, Phaneendra , Mikkola, Esko, Haidar, Abdul-Muhsin, Sanyal, Arindam , Mikkola, Esko, Banerjee, Imon

No container title available | June 14, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.36227/techrxiv.171838014.44843115/v1 Get It

Acute kidney injury (AKI) is a commonly encountered medical problem that is associated with poor health outcomes in AKI survivors, including increased mortality and re-admission to the hospital. Despite their high-risk status, only a small fraction (< 10%) of patients receive specialized nephrologist follow-up after AKI event. To address the gap in care for AKI patients, this work proposes an artificial intelligence (AI) based fusion technique that combines patient's single-lead electrocardiograph (ECG) and demographics to predict AKI recurrence 3-7 days before onset. The ECG data is analyzed with an on-chip reservoir-computer (RC) prototyped in 28nm CMOS process to create a compressed representation for predicting AKI onset from ECG. After fusion with demographics, the proposed technique is able to predict AKI recurrence 3-7 days before onset with 75.8% accuracy when evaluated on a retrospective patient dataset collected from Mayo Clinic Enterprise.
Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring
Bhanushali, Sumukh Prashant , Sadasivuni, Sudarsan , Banerjee, Imon , Banerjee, Imon , Sanchez, Jose, Sanyal, Arindam

2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) | January 18, 2024 | Volume: No volume available | Issue: No issue available | Pages: 1-5

10.1109/biocas58349.2023.10388918 Get It

In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring
Sadasivuni, Sudarsan , Saha, Monjoy , Bhanushali, Sumukh Prashant , Banerjee, Imon , Sanyal, Arindam , Banerjee, Imon

IEEE Transactions on Biomedical Circuits and Systems | March 2, 2023 | Volume: 17 | Issue: 2 | Pages: 312-322

10.1109/tbcas.2023.3251310 Get It

A 43.6 TOPS/W AI Classifier with Sensor Fusion for Sepsis Onset Prediction
Sadasivuni, Sudarsan , Bhanushali, Sumukh Prashant , Banerjee, Imon , Banerjee, Imon , Sanyal, Arindam

2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) | November 16, 2022 | Volume: No volume available | Issue: No issue available | Pages: 569-572

10.1109/biocas54905.2022.9948610 Get It

Real-time sepsis prediction using fusion of on-chip analog classifier and electronic medical record
Sadasivuni, Sudarsan , Bhanushali, Sumukh Prashant , Banerjee, Imon , Sanyal, Arindam , Banerjee, Imon , Saha, Monjoy

2022 IEEE International Symposium on Circuits and Systems (ISCAS) | November 11, 2022 | Volume: No volume available | Issue: No issue available | Pages: 1635-1639

10.1109/iscas48785.2022.9937902 Get It