Anindita Ganguly
Engineering · The Ohio State University
Publications
141
Citations
2,044
Est. group size
—
Recurring co-author estimate
Active years
59
Publishing since 1968
Anindita Ganguly's work centers on analyzing physiological signals—especially ECG (heart electrical activity) and heart rate variability—using signal processing and machine learning to detect conditions like anxiety, stress, arrhythmias, and to study meditation-related autonomic changes. The publication record also includes work on control system design (e.g., for medical devices like left ventricular assist devices), sensors, and energy harvesting, suggesting a broader engineering and biomedical instrumentation focus alongside collaborations in materials science and biochemistry.
Publication output has grown substantially over the last decade, rising from a handful of papers in 2018-2019 to a peak of 15 in 2025, with a mean of 11.6 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Automated Anxiety Detection Using ECG Signals Employing Wavelet Scattering Network
Iranian Journal of Science and Technology Transactions of Electrical Engineering · 2026
- Detecting Meditative States Through Heart Rate Variability and Machine Learning Techniques
Lecture notes in networks and systems · 2026
- Acute effects of Rajyoga meditation on heart rate variability in older trained practitioners and younger novices: A quasi-experimental repeated measures study
Indian Journal of Physiology and Pharmacology · 2026
- An Affordable Acoustic Energy Harvesting Solution for Portable Applications
2026
- 0723 Effects of Treatment with Oveporexton, an Orexin Receptor 2 Agonist, on Sleep in People with Narcolepsy Type 1: Phase 3 Results
SLEEP · 2026
- Multiscale cardiorespiratory complexity reveals autonomic signatures of Rajyoga meditation
Frontiers in Psychology · 2026
- Mental Stress Prediction Using Physiological Signals: An Analysis on Wearable Sensors Using a Machine Learning Approach
Procedia Computer Science · 2026
- Deep Learning Based Atrial Fibrillation Detection Using Superlet Transform on Single-Channel ECG Signals
Procedia Computer Science · 2026
- Metal-organic frameworks as thermocatalysts for hydrogen peroxide generation and environmental antibacterial applications
Science Advances · 2025
- Advancements in multimodal approaches for enhanced wound healing: From chemical to physical strategies
Materials Today · 2025
- Arrhythmias detection using ECG with deep learning and superlet transform
Engineering Research Express · 2025
- Real‐Time Wireless Detection of Heavy Metal Ions Using a Self‐Powered Triboelectric Nanosensor Integrated with an Autonomous Thermoelectric Generator‐Powered Robotic System (Adv. Sci. 24/2025)
Advanced Science · 2025
- Stress Classification Using Heart Rate Variability and Machine Learning Models
Procedia Computer Science · 2025
- Optimal PID Control design for FTMS using WOA Optimization technique
2025
- Optimal robust controller design for MIMO system
Microsystem Technologies · 2025
- ECS Meeting Abstracts×7
- Chemosphere×5
- Nano Energy×3
- Advanced Science×3
- Advances in intelligent systems and computing×3
- James K. Nolan
Engineering · Purdue University West Lafayette
- Xiaoli Xiong
Engineering · Purdue University West Lafayette
- Rupesh K. Mishra
Engineering · Purdue University West Lafayette
- Md Ashiqur Rahman
Engineering · Purdue University West Lafayette
- Christophe Renault
Chemistry · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile