RASHMI REKHA SAHOO

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Publications (10)

• Design of a Vertical TFET with Triple Metal Gate and SiGe Pocket with Polar Gate for Ultra-Sensitive Biosensing: A Simulation Study
  Biomedical Materials and Devices 2026 DOI: 10.1007/s44174-025-00440-z
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• A High-Performance Two-Stage OTA for Low Frequency Signal Amplification in Power Constrained Systems
  Proceedings of 6th International Conference on 2025 Devices for Integrated Circuit Devic 2025 2025 DOI: 10.1109/DevIC63749.2025.11012532
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• Detection sensitivity analysis of a vertical TFET biosensor using a negative capacitance GaSb/InGaAs electrolyte pH sensing system
  Ionics 2025 DOI: 10.1007/s11581-025-06071-0
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• A novel approach of Gaussian mixture model-based data compression of ECG and PPG signals for various cardiovascular diseases
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2024.106581
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• Prediction of ECG fiducial parameters from PPG signals for the analysis of cardiovascular diseases: A novel Gaussian process regression-based approach
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105838
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• Design and Sensitivity Investigation of Dielectric Modulated and Electrolyte-Based pH Sensing of Vertical TFET Biosensor
  IEEE Transactions on Nanotechnology 2023 DOI: 10.1109/TNANO.2023.3307632
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• A Novel Approach for ECG Compression and Use of Cubic Spline Method for Reconstruction
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-8763-1_62
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• Classification of Cardiac Abnormality using PPG Fiducial Parameters and Probabilistic Neural Network
  2022 IEEE Calcutta Conference Calcon 2022 Proceedings 2022 DOI: 10.1109/CALCON56258.2022.10059736
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• Data Compression of Photoplethysmogram Signal for IoT Application
  Proceedings of 2022 IEEE International Conference of Electron Devices Society Kolkata Chapter Edkcon 2022 2022 DOI: 10.1109/EDKCON56221.2022.10032860
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• Prediction of Fiducial Parameter of PPG Signal—A Comparative Study Between Radial Basis and General Regression Neural Network Performance
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-16-7011-4_10
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