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Found 6 papers, 0 papers with code
Programmable Transimpedance Amplifier with Integrated Bandgap Reference for Glucose Concentration Measurement
For an input current range of 4. 2-180 uA, the PTIA response has a linear output voltage range of 0. 55-1. 44 V. The output rms noise value is calculated to be 5. 101 Vrms, and the overall power consumption of the design is 2. 33 mW.
Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare
A novel hybrid deep learning model known as SzHNN (Schizophrenia Hybrid Neural Network), a combination of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) has been proposed.
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
Classification of Cognitive-Motor Imagery activities from EEG signals is a critical task.
A Robust and Accurate Deep Learning based Pattern Recognition Framework for Upper Limb Prosthesis using sEMG
Moreover, the performance of traditional machine learning-based methods show limitation to categorize over a certain number of classes and degrades over a period of time.
Everything You Wanted to Know About Noninvasive Glucose Measurement and Control
There is requirement to develop the Internet-Medical-Things (IoMT) integrated Healthcare Cyber-Physical System (H-CPS) based Smart Healthcare framework for glucose measurement with purpose of continuous health monitoring.
Medical Physics
Smart Healthcare for Diabetes: A COVID-19 Perspective
Diabetes is considered as an critical comorbidity linked with the latest coronavirus disease 2019 (COVID-19) which spreads through Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2).
