Key result
Unified wearable ECG-EEG architecture addresses engineering and signal processing challenges for simultaneous cardioneurological monitoring.
Why the study?
Practical wearable health monitoring of cardiac and neural electrical activity involves engineering challenges that motivate a unified ECG-EEG monitoring architecture.
Answers are grounded in this paper and cite their sources.
This review outlines a unified ECG–EEG monitoring architecture and addresses the engineering, signal processing, and computational challenges in practical wearable health monitoring.
Guides: Prof. Najib Ghatte and Dr. Payal ShahSardar Patel Institute of Technology (SPIT), Mumbai, India — Department of Electronics and Telecommunication Engineering.This paper reviews technologies for monitoring cardiac and neural electrical activity using electrocardiography (ECG) and electroencephalography (EEG). It discusses wearable sensors, analog front ends, analog-to-digital conversion, digital signal processing, artifact rejection, heart-rate variability, EEG spectral analysis, machine learning, edge computing, wireless communication, privacy, and validation. It presents a unified ECG–EEG monitoring architecture and discusses the engineering challenges involved in practical wearable health monitoring.
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Arsh Khanolkar (2026) conducted a review in Cardiac and neural electrical activity monitoring. Unified ECG-EEG wearable monitoring architecture was evaluated. Unified ECG-EEG monitoring technologies and wearable sensor architectures are reviewed, addressing signal processing, machine learning, and engineering challenges with no quantitative clinical data.
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