BIOSPIN - Biomedical Signal Processing and Interpretation
La investigació s’emmarca en l’àmbit de l’Enginyeria Biomèdica. S’adreça al disseny i desenvolupament de tècniques avançades de processament de senyals biomèdics multimodals per a la monitorització no invasiva, diagnòstic, prevenció i tractament de malalties. Explorem nous mètodes per a la interpretació d’informació clínicament rellevant dels senyals biomèdics. L’objectiu és millorar el diagnòstic a través de la caracterització dels fenòmens fisiològics, aplicat a les principals malalties cardíacs, respiratories, neurològiques i trastorns del son. També desenvolupem bases de dades de biosenyals, realitzades conjuntament amb els hospitals per avaluar el rendiment dels algoritmes desenvolupats. I estudiem els algorismes proposats en models animals. El grup compta amb múltiples col·laboracions internacionals, incloent empreses i hospitals, d’Europa, Canadà i Estats Units. Actualment, els nostres prototipus s'utilitzen als hospitals per recerca i per a un futur desenvolupament industrial.
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Articles de revista [35]
Recent Submissions
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Enhanced monitoring of sleep position in sleep apnea patients: smartphone triaxial accelerometry compared with video-validated position from polysomnography
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-05-26)
Article
Open AccessPoor sleep quality is a risk factor for multiple mental, cardiovascular, and cerebrovascular diseases. Certain sleep positions or excessive position changes can be related to some diseases and poor sleep quality. Nevertheless, ... -
SleepPos app: an automated smartphone application for angle based high resolution sleep position monitoring and treatment
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-07-01)
Article
Open AccessPoor sleep quality or disturbed sleep is associated with multiple health conditions. Sleep position affects the severity and occurrence of these complications, and positional therapy is one of the less invasive treatments ... -
Quantitative evaluation of trunk function and the StartReact effect during reaching in patients with cervical and thoracic spinal cord injury
(2021-08-18)
Article
Open AccessObjective. Impaired trunk stability is frequent in spinal cord injury (SCI), but there is a lack of quantitative measures for assessing trunk function. Our objectives were to: (a) evaluate trunk muscle activity and movement ... -
Evaluation of respiratory muscle activity by means of concentric ring electrodes
(2021-03)
Article
Open AccessSurface electromyography (sEMG) can be used for the evaluation of respiratory muscle activity. Recording sEMG involves the use of surface electrodes in a bipolar configuration. However, electrocardiographic (ECG) interference ... -
Relationship Between Heart Rate Recovery and Disease Severity in Chronic Obstructive Pulmonary Disease Patients
(2020)
Conference lecture
Open AccessChronic obstructive pulmonary disease (COPD) patients exhibit impaired autonomic control which can be assessed by heart rate variability analysis. The study aims to evaluate the cardiac autonomic responses of COPD patients ... -
Assessment of trunk flexion in arm reaching tasks with electromyography and smartphone accelerometry in healthy human subjects
(Nature, 2021-03-08)
Article
Open AccessTrunk stability is essential to maintain upright posture and support functional movements. In this study, we aimed to characterize the muscle activity and movement patterns of trunk flexion during an arm reaching task in ... -
Spatial distribution of normal lung sounds in healthy individuals under varied inspiratory load and flow conditions
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessRespiratory sounds yield pertinent information about respiratory function in both health and disease. Normal lung sound intensity is a characteristic that correlates well with airflow and it can therefore be used to quantify ... -
Performance evaluation of fixed sample entropy for lung sound intensity estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open Accessung sound (LS) signals are often contaminated by impulsive artifacts that complicate the estimation of lung sound intensity (LSI) using conventional amplitude estimators. Fixed sample entropy (fSampEn) has proven to be ... -
Cardiac comorbidities in COPD patients explained through HRV analysis and respiratory indices
(2020)
Conference lecture
Open AccessChronic obstructive pulmonary disease (COPD) patients exhibit depressed heart rate variability (HRV), while comorbidities may worsen the patients’ prognosis. We investigated whether HRV analyis, clinical markers of disease ... -
Neural respiratory drive estimation in respiratory sEMG with cardiac arrhythmias
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessNeural respiratory drive as measured by the electromyography allows the study of the imbalance between the load on respiratory muscles and its capacity. Surface respiratory electromyography (sEMG) is a non-invasive tool ... -
Health outcomes from home hospitalization: multisource predictive modeling
(JMIR, 2020-10-07)
Article
Open AccessBackground: Home hospitalization is widely accepted as a cost-effective alternative to conventional hospitalization for selected patients. A recent analysis of the home hospitalization and early discharge (HH/ED) program ... -
Combining bioimpedance and myographic signals for the assessment of COPD during loaded breathing
(2020-05-27)
Article
Open AccessChronic Obstructive Pulmonary Disease (COPD) is one of the most common chronic conditions. The current assessment of COPD requires a maximal maneuver during a spirometry test to quantify airflow limitations of patients. ...
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