Elisabetta Peri

Orcid: 0000-0002-1231-9372

According to our database1, Elisabetta Peri authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A Spatiotemporal Deep-Learning Model for Force Estimation From Surface Electromyography.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Measurement of Sweat Gland Activity by Sweat Sensing and Deep Learning.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Estimating Respiratory Effort through Diaphragmatic Electromyography on Simulated Airway Obstructions.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Improved mECG Removal and fECG Extraction by Integrated Periodic Components Analysis and Singular Value Decomposition.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023
Automatic Optimization of Multichannel Electrode Configurations for Robust Fetal Heart Rate Detection by Blind Source Separation.
IEEE Trans. Biomed. Eng., April, 2023

Estimation of blood glucose levels by sweat sensing based on biophysical modeling of glucose transport.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Removal of electrocardiographic interference and artifacts from diaphragm electromyography.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022
An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications.
Sensors, 2022

2021
Singular Value Decomposition for Removal of Cardiac Interference from Trunk Electromyogram.
Sensors, 2021

Dedicated Algorithm for Unobtrusive Fetal Heart Rate Monitoring Using Multiple Dry Electrodes.
Sensors, 2021

2020
Comparative Review of the Algorithms for Removal of Electrocardiographic Interference from Trunk Electromyography.
Sensors, 2020

2017
Evidence-based methodologies to assess the effectiveness of novel technologies for neurorehabilitation.
PhD thesis, 2017

2015
An ecological evaluation of the metabolic benefits due to robot-assisted gait training.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A New Quantitative Performance Parameter for Monitoring Robotics Rehabilitation Treatment: Technical Guidelines.
Proceedings of the ICTs for Improving Patients Rehabilitation Research Techniques, 2014

A new quantitative performance parameter for monitoring robotics rehabilitation treatment.
Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, 2014


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