Application of Machine Learning and Deep Learning Methods on ECG Sensor Data to Predict Stress Levels in Minimally Invasive Surgery

Lecture notes in computer science 2026

View at publisher
Authors: Daniel Caballero, Manuel J. Pérez-Salazar, Juan A. Sánchez‐Margallo, Ismael Diaz-Romero, Francisco Miguel Sanchez-Margallo
DOI: 10.1007/978-3-032-10661-2_15
Cited by: 1
References: 25

Fields of Study & Subjects

Surgical Simulation and Training Non-Invasive Vital Sign Monitoring Intraoperative Neuromonitoring and Anesthetic Effects

Publication details

Journal / source
Lecture notes in computer science
Publisher
Springer Nature Switzerland
Pages
185–199
Publication date
1 January 2026
Language
EN