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Found 7 papers, 1 papers with code
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature
Various foot complications can be easily avoided by continuous monitoring of foot plantar temperature and pressure.
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait
In the GRF analysis, the model showed 94. 78% accuracy by using the Top 15 features for the feature combinations extracted from GRFx, GRFy and GRFz signals.
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
The highest average {\Delta}SNR and {\eta} using single-stage artifacts removal techniques (WPD) are found as 16. 11 dB and 26. 40%, respectively for all the fNIRS signals using fk4 wavelet packet.
Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features
In addition, we also propose a feature extraction method where the LMAV and NSV are grouped with the existing 11 time-domain features.
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU.
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP).
Can AI help in screening Viral and COVID-19 pneumonia?
The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation.
