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Research: Design and Evaluation of an Ultra-Low-Power Analog Front-End for Wearable ECG...

Field: Electronics & Communication Type: Research project Bloom: Create / Evaluate Level: Final-year / PG capstone Inspired by: MIT / Stanford / Oxford research agendas

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Core skills
About this project
Research: Design and Evaluation of an Ultra-Low-Power Analog Front-End for Wearable ECG Signal Acquisition

Research question: How can an analog front-end circuit be designed to minimize power consumption while maintaining clinically relevant accuracy in wearable ECG acquisition systems?

Wearable ECG devices are increasingly vital for continuous cardiac health monitoring, relying on compact, energy-efficient electronics to ensure long-term operation on limited battery capacity. The analog front-end (AFE) responsible for amplifying and filtering biopotential signals is a key contributor to system power and fidelity.

Existing designs often face trade-offs between power efficiency, noise performance, and signal integrity, particularly under the constraints of wearable applications. Many current solutions are optimized for general biomedical sensing or bench-top systems, but systematic research into ultra-low-power AFEs for ambulatory ECG, with robust benchmarking, remains limited.

This project will review state-of-the-art AFE architectures, propose low-power design hypotheses (e.g., subthreshold operation, chopper stabilization), and simulate/test prototypes using Cadence and bench instrumentation. Performance will be evaluated on open-access ECG datasets and against IEEE standards for wearable biomedical devices. The goal is to quantify trade-offs and propose practical design guidelines for future ultra-low-power wearable ECG front-ends.

Addressing this challenge has significant impact, as it enables more reliable, longer-lasting wearable cardiac monitors, supporting preventive healthcare and early detection of cardiovascular conditions.

Milestones
1. Literature Review & Problem Definition
15 marks 21d
Survey recent research in low-power AFE design for wearable ECG, identify gaps, and define the specific problem statement.
2. Research Proposal & Hypotheses
10 marks 14d
Formulate research questions, hypotheses, and project plan based on the literature review and identified gaps.
3. Methodology & Experimental Design
18 marks 21d
Design the AFE architecture, select simulation and benchmarking protocols, and outline data analysis methods.
4. Data Collection / Experimentation
20 marks 21d
Simulate circuit behavior, collect performance data, and (optionally) validate with bench testing using standardized ECG signals.
5. Analysis & Results
17 marks 14d
Analyze data for power, noise, and signal quality metrics; compare results with published standards and designs.
6. Thesis Write-up & Defense
20 marks 21d
Compile the research findings into a detailed thesis and prepare for oral defense before an examination panel.
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Upcoming sessions
SessionWindowEnrolled
Research: Design and Evaluation of an Ultra-Low-Power Ana... 11 Jun 2026 to 10 Jun 2028 0
Skills you'll learn
ResearchElectronics & CommunicationComprehensive literature review in biomedical circuit designFormulation of research hypotheses based on technology gapsAnalog/mixed-signal circuit simulation and modelingExperimental design and benchmarking methodologyData analysis and interpretation (signal-to-noisepoweretc.)Academic technical writing and thesis defenseDomain knowledge in biosignal processing and wearable systems
Tools used
Cadence Virtuoso or LTspice for circuit simulationMATLAB or Python (NumPySciPy) for signal processingPhysioNet MIT-BIH ECG DatabaseDigital oscilloscope and low-noise function generator (for bench validation)Statistical analysis (t-testsANOVA) for performance evaluationIEEE 11073 or IEC 60601-2-47 standards for comparison
Prerequisites
Analog ElectronicsVLSI Circuit DesignSignals and SystemsBiomedical Instrumentation
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