Gema Prats-Boluda

Profesora Titular de Universidad

Universitat Politècnica de València

Spain

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Dr. Gema Prats-Boluda is a Professora Titular de Universidad at Universitat Politècnica de València, Spain. Her research focuses on biomarkers in health, evaluating conditions such as sarcopenic motor dysfunction, diabetic foot disease, and post-stroke dysphagia. She employs advanced techniques such as electroencephalography and deep learning in her studies to enhance clinical practices.

Articles (24)

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2025

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2021

Collaborators (4)

Oleksandr Makeyev

Associate Professor

Dickinson College

UNITED STATES

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Vicente Diago-Almela

SPAIN

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Félix Nieto-del-Amor

KTH Royal Institute of Technology

SWEDEN

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Maria S Guillem

Assistant Professor

Universitat Politècnica de València

SPAIN

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Gema Prats-Boluda

Research Interests

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About

Articles (24)

Assessment of surface EMG biomarkers in sarcopenic motor dysfunction during postural stabilization

Integrative biomarker analysis in diabetic foot: lipids, cellular integrity, and hydration balance

Assessment of the intermuscular coherence for the early detection of diabetic peripheral neuropathy: a cross-sectional study

Entropy Analysis of Electroencephalography for Post-Stroke Dysphagia Assessment

Post-Stroke Dysphagia: Evaluating myoelectric alterations in swallowing muscles

Synchronization study of electrohysterography for discrimination of imminent delivery in pregnant women with threatened preterm labor

Automatic semantic segmentation of EHG recordings by deep learning: An approach to a screening tool for use in clinical practice

Identification of phase angle and Triglyceride-Glucose index as biomarkers for prediction and management of diabetic foot disease

Muscle Network Connectivity Study in Diabetic Peripheral Neuropathy Patients

Overdistention Accelerates Electrophysiological Changes in Uterine Muscle Towards Labour in Multiple Gestations

Vectorgastrogram: dynamic trajectory and recurrence quantification analysis to assess slow wave vector movement in healthy subjects

Looking for optimal concentric ring electrodes: influence of design aspects on their performance

Recurrence quantification analysis of uterine vectormyometriogram to identify pregnant women with threatened preterm labor

Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity

Assessment of Muscle Coordination Changes Caused by the Use of an Occupational Passive Lumbar Exoskeleton in Laboratory Conditions

Identification of atrial fibrillation drivers by means of concentric ring electrodes

Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data

Directed Functional Coordination Analysis of Swallowing Muscles in Healthy and Dysphagic Subjects by Surface Electromyography

Assessment of a Passive Lumbar Exoskeleton in Material Manual Handling Tasks under Laboratory Conditions

Concentric ring electrodes for non-invasive recording of gastric myoelectric activity

Uterine slow wave: Directionality and changes with imminent delivery

Assessment of Dispersion and Bubble Entropy Measures for Enhancing Preterm Birth Prediction Based on Electrohysterographic Signals

Comprehensive Optimization of the Tripolar Concentric Ring Electrode Based on Its Finite Dimensions Model and Confirmed by Finite Element Method Modeling

Optimized Feature Subset Selection Using Genetic Algorithm for Preterm Labor Prediction Based on Electrohysterography

Collaborators (4)

Oleksandr Makeyev

Vicente Diago-Almela

Félix Nieto-del-Amor

Maria S Guillem

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