M Sabarimalai Manikandan

Employment

• Indian Institute of Technology Palakkad Associate Professor
  2021 - Present

Education

• Indian Institute of Technology Guwahati PhD
  2004 - 2009
• Alagappa Chettiar College of Engineering and Technology Master of Engineering
  2000 - 2002
• Amrita Institute of Tecchnology and Science (Now Amrita University) Bachelor Engineering
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (131)

• Lightweight Pause Detector-Based ECG Sensing Device for Intelligent Cardiac Health Monitoring
  IEEE Sensors Letters 2026 DOI: 10.1109/LSENS.2026.3697440
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• Integrated Noise-Aware PPG-Based Blood Pressure Stratification With Rate and Rhythm Sensing for Smart Portable Cuffless BP Monitor
  IEEE Sensors Journal 2026 DOI: 10.1109/JSEN.2026.3685109
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• CEFD: A Novel Approach for the Analysis of Complex-Valued Signals
  IEEE Sensors Letters 2026 DOI: 10.1109/LSENS.2026.3672568
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• Thermal Imaging-Based Intrusion Detection Using Deep Learning
  IEEE Sensors Journal 2026 DOI: 10.1109/JSEN.2025.3641595
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• Energy-Efficient Quality-Aware Pulse Rate Measurement System for Battery-Operated Trustworthy Continuous Health Monitoring Devices
  IEEE Embedded Systems Letters 2026 DOI: 10.1109/LES.2026.3664763
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• Automatic ECG signal quality assessment using convolutional neural networks and derivative ECG signal for false alarm reduction in wearable vital signs monitoring devices
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2025.107876
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• Resource-Efficient CNN Based Atrial Fibrillation Detection Using P-Wave and RR Interval Features for Edge-AI Cardiac Health Monitoring Devices
  IEEE Transactions on Artificial Intelligence 2025 DOI: 10.1109/TAI.2025.3556995
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• Lightweight Electrocardiogram Signal Quality-Aware VT/VF Detector for Resource-Constrained Life-Threatening Monitoring Devices
  IEEE Sensors Letters 2025 DOI: 10.1109/LSENS.2025.3570346
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• Light Weight Graph Neural Network Models for PPG Signal Quality Assessment
  2025 DOI: 10.1007/978-3-032-04657-4_14
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• Noise-Aware Deep ECG-Based VT/VF Detection Method for Trustworthy Life-Threatening Arrhythmia Monitoring Devices
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3585206
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