Titlebook: Biomedical Engineering Systems and Technologies; 14th International J Claudine Gehin,Bruno Wacogne,Hugo Gamboa Conference proceedings 2022

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,Evaluating the?Performance of?Diadochokinetic Tests in?Characterizing Parkinson’s Disease Hypokinetring the resulting distributions by means of Jensen-Shannon Divergence (JSD) to assess the efficiency of both types of tests confronting utterances from Healthy Controls (HC) with the ones from PD participants. The results from the evaluation of 30 gender-balanced participants, 18 PwP and 12 HC, sho

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,Technology-Based Education and?Training System for?Nursing Professionals,and analyze nursing tasks. The system is tested and evaluated in a case study with nursing students (n . 13) during a simulated transfer task. The system provided in-depth evaluation of the conducted transfer and increased the feedback quality of an instructor compared to conventional training metho

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,Multi-class Detection of?Arrhythmia Conditions Through the?Combination of?Compressed Sensing and?Mafaster detection of the approach, due to the lower complexity of the method’s workflow. We conducted an experimental study to determine if such a detector, working on compressed ECG signal, can achieve comparable results with the original approach applied to the uncompressed signal. The results demo

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DL-Assisted ROP Screening Technique,ccording to our results. Furthermore, the preterm infants’ fundus images were perfectly segmented by the computer vision-based system, which effectively separated the retinal vessels. Our system is able to obtain an accuracy of 82.5% in the Zone-1 occurrence of ROP.

paleolithic

Systematic Design Procedure of CMOS Microelectrode-Arrays Based on Analog Signal Processing Noise Fntials (LFP). MEAs arrange several recording sites (or pixels) in a spatial grid/matrix, planarly and capacitively coupled with in-vitro cell cultures (growth above the chip surface) and/or integrated in electrocorticography grids. This paper focuses on Electrolyte-Oxide (C)MOS Field-Effect-Transist

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,LigityScore: A CNN-Based Method for?Binding Affinity Predictions,target. Seeking a scoring function that can accurately predict the binding affinity is key for successful virtual screening methods. Deep learning approaches have recently seen a rise in popularity as a means to improve the scoring function having the key advantage to automatically extract features

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