9 mayo 20248 septiembre 2023 por i3a Líneas de investigación BIOMEDICAL SIGNAL PROCESSING AND CHARACTERIZATION FOR RESPIRATORY PATHOLOGIES Research line Obstructive Sleep Apnea Syndrome diagnosis and monitoring based on pulse photoplethysmography signal (PPG). Detection of sympathetic activations associated with apnea. Study of the relationship between sympathetic activations and apnea based on Autonomic Nervous System analysis from HRV, PTT and PRV. Deriving respiration from PPG. Investigator in chargeEduardo Gil HerrandoJesús Lázaro Plaza Technologies and targeting sectors Technology 1 Signal processing software for apnea detection. Targeting sector: Biomedical Engineering companies Technology 2 Respiratory rate estimation system from PPG signal. Targeting sector: Biomedical Engineering companies Singular equipment Ambulatory polysomnography system SOMTE PSG V2 for sleep disorder studies. ProyectosImplementation of wearable technology in primary health care for personalized exercise medicine (WearablePerMed) – PMP22/00002Major Depressive Disorder monitoring system: development of a platform based on wearable devices in relevant scenarios – PDC2022-133197-I00Monitoring and assessment of obstructive sleep apnea and its outcomes through the processing of physiological signals of wearables – PID2021-126734OB-C21Characterization of vital signs while drivingConsulting services for basic physiologic features Finished ProjectsPPG-based sleep apnea monitoringTowards an early identification of depression through a process of physiological signals and metabolomic biomarkersPhysiologically guided signal analysis for ambulatory monitoring of depressionCharacterization and modeling of the physiological response in variable hyperbaric environmentsImproved monitoring of the autonomic nervous system during daily life applied to stress, depression and exerciseBiomedical monitoring prototype integrated in diving equipment for underwater environmentImprovement of a device for real-time monitoring of the photoplestimographic signal in hyperbaric environmentsAutonomic nervous system surrogates, cardiopulmonary coupling and respiratory parameters as predictors of successful weaning in mechanically ventilated patientsValidation of pulse rate variability, respiratory frequency and stress assessment from NIVAbandWECARMON: Wearable Cardiorespiratory MonitorOptimization of a submersible device for monitoring the photoplesthymographic signalBiomedical Engineering and Medical Physics (BioMep)Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADAR-CNS)Patterns of Autonomic Nervous System Biomarkers in Depression (DEANS)Multimodal analysis and m-Health tools for diagnostic and monitoring improving of Obstructive Lung Disease and Obstructive Sleep Apnea patients (M-LODOSA)Effects of an early neurocognitive intervention on patient-ventilator interaction and stress in critically ill patients receiving mechanical ventilation (PVI-ANS-NCOG)Design and validation of a submersible device for the monitoring of the Autonomous Nervous System through the recording of pulse photoplethysmography in aquatic activitiesIdentification of situations of decreased performance of the military, based on the relationship of heart rate variability with stress and sleep deprivationStudy of the behavior of the autonomic nervous system and cognitive abilities in hyperbaric environmentsNoninvasive assessment of autonomic nervous system through the analysis of biosignals variability. Application to stress-related clinical problemDecision support systems in pathological or physiological stress by assessing the state of the autonomic nervous system through signal processingMultimodal biomedical signal processing for the analysis and characterization of cardiovascular, respiratory and autonomic deseasesJIUZ2022-IAR-02: Respiration monitoring by means of a wrist-worn wearable device prototypeUZ2022-IAR-06: Towards a system for diagnosis and monitoring sleep apnea-hypopnea syndrome at home based on a wearable armbandTidal Volume Monitoring by a Wearable Armband
