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PID2020-119082RB-C22

Financiado

MONITORING BIOMEDICAL INFORMATION BASED ON INTELLIGENT CONTENT RETRIEVAL FROM CA...

MONITORING BIOMEDICAL INFORMATION BASED ON INTELLIGENT CONTENT RETRIEVAL FROM CARDIAC AND RESPIRATORY SOUND SIGNALS - ADVANCED AND INTELLIGENT COMPUTING MINERVAS PROPOSAL WILL CARRY OUT RESEARCH IN THE FIELD OF SIGNAL PROCESSING TECHNIQUES AND AI FOR MONITORING INFORMATION FROM THE ANALYSIS OF BIOMEDICAL SIGNALS IN DIFFERENT PROBLEMS. IN THIS RESEARCH PROJECT, BIOMEDICAL SIGNALS A... ver más

01/01/2020

UNIOVI

48K€

Presupuesto del proyecto: 48K€

Líder del proyecto

Universidad de Oviedo No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 787

Financiación concedida El organismo AGENCIA ESTATAL DE INVESTIGACIÓN notifico la concesión del proyecto el día 2020-01-01 No tenemos la información de la convocatoria

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UNIOVI

Lider

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Líder del proyecto

Universidad de Oviedo No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 787

Presupuesto del proyecto 48K€

Descripción del proyecto MINERVAS PROPOSAL WILL CARRY OUT RESEARCH IN THE FIELD OF SIGNAL PROCESSING TECHNIQUES AND AI FOR MONITORING INFORMATION FROM THE ANALYSIS OF BIOMEDICAL SIGNALS IN DIFFERENT PROBLEMS. IN THIS RESEARCH PROJECT, BIOMEDICAL SIGNALS ARE CONSIDERED TO BE ECG AND SOUND SIGNALS EMITTED BY THE HEART AND LUNGS, THAT IS, HEART AND LUNG SOUND SIGNALS. IN ADDITION, COUGHING AND RESPIRATORY SOUNDS (INHALATION/EXHALATION OF AIR THROUGH THE MOUTH) ARE ALSO CONSIDERED PULMONARY SIGNALS. WE PROPOSE TO WORK WITH SIGNALS IN TWO DIFFERENT SCENARIOS: I) RESEARCH AND DEVELOPMENT OF TECHNIQUES FOR THE ESTIMATION OF CARDIAC AND RESPIRATORY VITAL SIGNS (AS WELL AS OTHER USEFUL BIOMEDICAL PARAMETERS TO IMPROVE THE RELIABILITY OF THE ESTIMATION OF VITAL SIGNS) AND ADDITIONAL BIOMEDICAL INFORMATION FROM THE ANALYSIS OF ECG AND SOUND SIGNALS CAPTURED IN THE AUSCULTATION PROCESS; II) RESEARCH AND DEVELOPMENT OF TECHNIQUES APPLIED TO THE EARLY DETECTION, BY MEANS OF ALERTS, OF CARDIAC AND PULMONARY DISORDERS BASED ON THE ANALYSIS OF COUGH AND RESPIRATORY SOUNDS (INHALATION/EXHALATION OF AIR THROUGH THE MOUTH) EMITTED BY THE SUBJECT AND CAPTURED BY ACOUSTIC SENSORS. THE PROPOSAL IS CHARACTERIZED BY ORGANIZING ACTIVITIES IN ORDER TO DEVELOP MONITORING APPLICATIONS FOR THE ELDERLY AND NURSLING BY ANALYZING CARDIOPULMONARY SOUND SIGNALS ON A MOBILE DEVICE (EMBEDDED SYSTEMS AND HANDHELD COMPUTERS) IN REAL TIME. NOTE THAT THE PROPOSED TEAM HAS PREVIOUS EXPERIENCE IN THE IMPLEMENTATION OF APPLICATIONS ON MOBILE DEVICES IN REAL TIME. THE APPLICATIONS CONSIDERED IN THIS PROJECT WILL BE BASED ON THE USE AND DEVELOPMENT OF INNOVATIVE AI AND SIGNAL PROCESSING ALGORITHMS BASED ON TIME-FREQUENCY SIGNAL MODELS, NON-NEGATIVE MATRIX FACTORIZATION (NMF), NON-NEGATIVE MATRIX COFACTORIZATION (NMPCF), EXTRACTION OF CHARACTERISTICS AND INTELLIGENT CLASSIFIERS, MODELING USING NEURAL NETWORKS, INTERPRETABLE DECISION SYSTEMS, KNOWLEDGE ACQUISITION SYSTEMS, ECO-EFFICIENCY AND NEUTRAL COMPUTATION, ETC. THE USE OF THESE ALGORITHMS AND TECHNIQUES IN PRACTICE DEMANDS HIGHLY EFFICIENT COMPUTATIONAL RESOURCES AND MAKES THE DEVELOPMENT OF HIGH PERFORMANCE COMPUTING (HPC) METHODS RELEVANT WITHIN THIS PROJECT. IOACOUSTICS\ARTIFICIAL INTELLIGENCE\SIGNAL PROCESSING\BIOMEDICAL MONITORING

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