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Disambiguation of "Madrid, Natividad Martínez"

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Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking.

, , , , , and . EMBC, page 5518-5522. IEEE, (2021)

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Vania Martínez

Carlos Martínez

Conrado Martínez

Ursula Martínez

Geovanni Martínez

 

Other publications of authors with the same name

The Computational Description of Analogue System Behaviour., , and . Prospects for Hardware Foundations, volume 1546 of Lecture Notes in Computer Science, page 309-332. Springer, (1998)Identifying an Appropriate Area to Facilitate the Cardiorespiratory Measurement during Sleep Monitoring., , , , and . EMBC, page 1-6. IEEE, (2023)A Comparison of Objective and Subjective Sleep Quality Measurement in a Group of Elderly Persons in a Home Environment., , , , , , , , , and 1 other author(s). ApplePies, volume 738 of Lecture Notes in Electrical Engineering, page 286-291. Springer, (2020)Evaluating Body Movement and Breathing Signals for Identification of Sleep/Wake States., , , , , , , and . ApplePies, volume 866 of Lecture Notes in Electrical Engineering, page 206-211. Springer, (2021)Detection of Variations in Holter ECG Recordings Based on Dynamic Cluster Analysis., , and . KES-IDT, volume 39 of Smart Innovation, Systems and Technologies, page 209-217. Springer, (2015)Evaluation of a prototype for early active patient mobilization., , , , , and . KES, volume 207 of Procedia Computer Science, page 2223-2231. Elsevier, (2022)Can Virtual Reality be used as a significant stressor for studies using ECG?, , , , and . KES, volume 176 of Procedia Computer Science, page 3255-3262. Elsevier, (2020)Analysis of Survey Tools for Recommender Systems in the Selection of Ambient Assisted Living Technologies., , , , and . KES, volume 176 of Procedia Computer Science, page 2332-2340. Elsevier, (2020)Using an Improved Rule Match Algorithm in an Expert System to Detect Broken Driving Rules for an Energy-efficiency and Safety Relevant Driving System., , and . KES, volume 35 of Procedia Computer Science, page 127-136. Elsevier, (2014)A survey on pre-training requirements for deep learning models to detect obstructive sleep apnea events., , , and . KES, volume 225 of Procedia Computer Science, page 3805-3812. Elsevier, (2023)