Documentos de Hotopf M. | REDI

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Subtipo de publicación

Publisher

Computer Methods and Programs in Biomedicine(1)

Frontiers in Physiology(1)

International Journal of Environmental Research and Public Health(1)

Journal of Clinical Medicine(1)

Pattern Recognition(1)

Área temáticas

Enfermedades(5)

Medicina y salud(2)

Problemas sociales y servicios a grupos(2)

Ciencias de la computación(1)

Cirugía y especialidades médicas afines(1)

Área de conocimiento

Cuidado de la salud(2)

Salud mental(2)

Aprendizaje automático(1)

Ciencias de la computación(1)

Año de Publicación

Origen

Palabras Claves

Multiple Sclerosis(2)

Ambulatory impairments(1)

Anomaly detection(1)

Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis

Abstract: Objective: The aim of this study was to evaluate the association between changes in the autonomic co

Palabras claves:

autonomic nervous system, Disability, ECG-derived respiration, fatigue, Heart Rate Variability, relapsing-remitting multiple sclerosis, secondary progressive multiple sclerosis, walking capacity

Buron M.D., Comi G., Costa G.D., Cummins N., Dobson R.J.B., Folarin A.A., García E., Guerrero A.I., Hotopf M., Kontaxis S., Laporta E., Leocani L., Lucia R., Magyari M., Matteo M., Narayan V.A., Nos C., Raquel Bailón, Rashid Z., Simblett S.K., Sørensen P.S., Vairavan S., Weyer J., Zabalza A.

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

Abstract: Background: Changes in lifestyle, finances and work status during COVID-19 lockdowns may have led to

Palabras claves:

covid-19, Decentralized, depression severity, Heart rate, major depressive disorder, Multiple Sclerosis, Physical activity, SARS-COV-2, social activity, Stress

Aguiló J., Annas P., Arranz B., Buron M.D., Comi G., Cummins N., Dalla Costa G., Difrancesco S., Dineley J., Dobson R.J.B., Folarin A.A., García E., Giné-Vázquez I., Girolamo G.D., Guerrero A.I., Haro J.M., Hotopf M., Ivan A., Kontaxis S., Lamers F., Laporta E., Lavelle G., Leightley D., Leocani L., Locatelli P., Magyari M., Matcham F., Mohr D.C., Montalban X., Myin-Germeys I., Narayan V.A., Oetzmann C., Penninx B.W.J.H., Preti A., Ranjan Y., Raquel Bailón, Rashid Z., Rintala A., Siddi S., Simblett S.K., Sørensen P.S., Vairavan S., White K.M., Wykes T., Zabalza A.

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Abstract: This study proposes a contrastive convolutional auto-encoder (contrastive CAE), a combined architect

Palabras claves:

Anomaly detection, Contrastive learning, Convolutional auto-encoder, covid-19, Respiratory tract infection

Buron M.D., Comi G., Conde P., Consortium R.A.D.A.R.C.N.S., Costa G.D., Cummins N., Dineley J., Dobson R.J., Folarin A.A., Guerrero A.I., Han J., Hotopf M., Kontaxis S., Leocani L., Liu S., Locatelli P., Magyari M., Narayan V.A., Nos C., Pokorny F.B., Puyal E.L., Ranjan Y., Raquel Bailón, Rashid Z., Schuller B., Stewart C., Sun S., Sørensen P.S., Vairavan S., Zabalza A.

The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study

Abstract: The present study analyzes the effects of each containment phase of the first COVID-19 wave on depre

Palabras claves:

anxiety, decentralized study, Depression, lockdown, Quarantine, remote measurement technology, SARS-COV-2, spain

Alacid G.R., Annas P., Arranz B., Condominas E., Coromina M., García E., Giné-Vázquez I., Haro J.M., Hotopf M., Kontaxis S., Lamers F., Laporta E., Lavalle R., Lombardini F., Matcham F., Narayan V.A., Peñarrubia-Maria M.T., Penninx B.W.J.H., Preti A., Raquel Bailón, Rubio-Alacid E., Siddi S., Simblett S.K., Vilella E.

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

Abstract: Background and objectives: Multiple sclerosis (MS) is a progressive inflammatory and neurodegenerati

Palabras claves:

Ambulatory impairments, Fitbit, Free-living conditions, Machine learning, Multiple Sclerosis, Six-minute walk test

Comi G., Conde P., Cummins N., Dalla Costa G., Dobson R.J., Folarin A.A., Guerrero A.I., Hotopf M., Laiou P., Leocani L., Liu S., Magyari M., Myin-Germeys I., Narayan V.A., Ranjan Y., Raquel Bailón, Rashid Z., Rintala A., Sankesara H., Simblett S.K., Stewart C., Sun S., Sørensen P.S., Vairavan S., Wykes T., Zabalza A., Zhang Y.