A5064014969- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- Phonocardiography and Auscultation Techniques
- Biomedical and Engineering Education
- Muscle activation and electromyography studies
- Hemodynamic Monitoring and Therapy
- Parkinson's Disease Mechanisms and Treatments
- ECG Monitoring and Analysis
- Flow Measurement and Analysis
- Cardiovascular Syncope and Autonomic Disorders
- Complex Systems and Time Series Analysis
- Spectroscopy and Chemometric Analyses
- Spectroscopy Techniques in Biomedical and Chemical Research
- Pregnancy and preeclampsia studies
- Sleep and Wakefulness Research
- Voice and Speech Disorders
- Noise Effects and Management
- Birth, Development, and Health
- Prosthetics and Rehabilitation Robotics
- Anesthesia and Sedative Agents
- Neurological disorders and treatments
- Advanced Chemical Sensor Technologies
- Chaos control and synchronization
- Respiratory and Cough-Related Research
Autonomous University of San Luis Potosí
2015-2024
Politecnico di Milano
2011-2013
Universidad Autónoma Metropolitana
2008-2010
Pulmonary auscultation with traditional stethoscope, although useful, has limitations for detecting discontinuous adventitious respiratory sounds (crackles) that commonly occur in diseases. In this work, we present the development of a mobile health system automated detection crackle sounds, comprised by an acoustical sensor, smart phone device, and application (app) implemented Android. The app allows physician to record, store, reproduce, analyze directly on phone. algorithm was based...
Several techniques have been explored to detect automatically fine and coarse crackles; however, the solution for automatic detection of crackles remains insufficient. The purpose this work was explore capacity time-variant autoregressive (TVAR) model provide an estimate number in lung sounds. Thus, simulated inserted normal sounds real containing adventitious were processed with TVAR by expert that based crackle on time-expanded waveform-analysis. coefficients obtained adaptive filtering...
Raman spectroscopy of biological samples presents undesirable noise and fluorescence generated by the biomolecular excitation. The reduction these types is a fundamental task to obtain valuable information sample under analysis. This paper proposes application empirical mode decomposition (EMD) for elimination. EMD parameter-free adaptive signal processing method useful analysis nonstationary signals. performance was compared with commonly used Vancouver algorithm (VRA) through artificial...
Raman spectroscopy of biological tissue presents fluorescence background, an undesirable effect that generates false intensities. This paper proposes the application Empirical Mode Decomposition (EMD) method to baseline correction. EMD is a suitable approach since it adaptive signal processing for nonlinear and non-stationary analysis does not require parameters selection such as polynomial methods. performance was assessed through synthetic spectra with different noise ratio (SNR). The...
This paper presents the analysis of autonomic nervous system (ANS) control heart rate (HR) and cardiac baroreflex sensitivity (BRS) in patients undergoing general anesthesia for major surgery through spectral techniques with Granger causality approach that take into account causal relationships between HR arterial blood pressure (ABP) variability. Propofol produced a decrease ABP due to its vasodilatory effects, reduction BRS, while remained unaltered respect baseline values before induction...
The aim of this paper is to assess heart rate variability (HRV) during the cyclic alternating pattern, which a sleep phenomenon, composed by cortical events that interrupt basal oscillation NREM stage. These are called A-phases and classified into three subtypes: A1, A2, A3. In addition, comparison between healthy Nocturnal Front Lobe Epilepsy (NFLE) patients was carried out. HRV assessed means time-varying autoregressive (TVAR) model with an adaptive filtering prediction scheme square root...
The sleep phenomenon is a complex process that involves fluctuations of autonomic functions such as the blood pressure, temperature and brain function. These change their properties through different stages with specific relations among systems. In order to understand relation between cardiovascular central nervous system at stages, we applied non-linear methods energy electroencephalographic signal (EEG) heart rate fluctuations. EEG was divided in Delta, Theta, Alpha Beta frequency bands...
The aim of this work is to study the behavior autonomic system through variations in heart rate (HR) during Cyclic Alternating Pattern (CAP) which formed by A-phases. analysis was carried out 10 healthy subjects and patients with Nocturnal Front Lobe Epilepsy (NFLE) that underwent one whole night polysomnographic recordings. In order assess relation A-phases cardiovascular system, two time domain features were computed: amplitude reduction delay minimum R-R intervals respect onset. addition,...
Sleep-wake cycle disruption caused by shift work may lead to cardiovascular stress, which is observed as an alteration in the behavior of heart rate variability (HRV). In particular, HRV exhibits complex patterns over different time scales that help understand regulatory mechanisms autonomic nervous system, and changes fractality be associated with pathological conditions, including disease, diabetes, or even psychological stress. The main purpose this study evaluate multifractal-multiscale...
This study investigates the variations in propagation of uterine electrical dynamics between obese and non-obese pregnant women using electrohysterography (EHG). Precisely monitoring activity during pregnancy is crucial for achieving optimal outcomes. However, conventional methods lack capability to assess accurately. EHG records myometrial cells through surface electrodes. Our hypothesis posits that demonstrate distinct patterns labor. In this exploratory study, transabdominal were obtained...
This study aims to use recurrence quantification analysis (RQA) of uterine vectormyometriogram (VMG) created from the slow wave (SW) and high (HW) bands electrohysterogram (EHG) signals assess directionality EHG activity (horizontal or
Crackles sounds have been associated with several pulmonary pathologies and diverse algorithms proposed for extracting counting them from the acquired lung sound. These tasks depend among other factors, of relation between magnitude crackle background In this work, we explore multivariate signal processing to deal propose a new concept, discontinuous adventitious imaging. The image formation is founded on results two methodologies that use an autoregressive (AR) model. first case, AR...