Zobrazeno 21 - 30
of 35
pro vyhledávání: '"Shaoxiong Sun"'
Autor:
Sara Siddi, Srinivasan Vairavan, Nicholas Cummins, Amos Folarin, Grace Lavelle, Brenda W.J.H. Penninx, Dzmitry A. Kaliukhovich, Peter Annas, Callum Stewart, Nikolay V. Manyakov, Yuezhou Zhang, Femke Lamers, Josep Maria Haro, Pauline Conde, Zulqarnain Rashid, Yatharth Ranjan, Alina Ivan, Faith Matcham, M Hotopf, Shaoxiong Sun, Richard Dobson, Vaibhav A. Narayan, Petroula Laiou
Most smartphones and wearables are nowadays equipped with location sensing (using Global Positioning System and mobile network information) that enable continuous location tracking of their users. Several studies have reported that the amount of time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c94f46dc87d850400f48ae6ab22e74
https://doi.org/10.1101/2021.02.10.21251512
https://doi.org/10.1101/2021.02.10.21251512
Autor:
Mathias Buron, Shaoxiong Sun, Amos Folarin, Femke Lamers, Aki Rintala, Callum Stewart, Brenda W.J.H. Penninx, Ana Zabalza, Gloria Dalla Costa, Sara Simblett, Inez Myin-Germeys, Matthew Hotopf, Sara Siddi, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Josep Maria Haro, Per Soelberg Sørensen, Ana Pérez, Letizia Leocani, Giancarlo Comi, Vaibhav A. Narayan, Til Wykes, Faith Matcham, Richard Dobson
Publikováno v:
Journal of Medical Internet Research, 22(9):e19992. Journal of medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 9, p e19992 (2020)
Journal of Medical Internet Research
Sun, S, Folarin, A A, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Cummins, N, Matcham, F, Dalla Costa, G, Simblett, S, Leocani, L, Lamers, F, Sørensen, P S, Buron, M, Zabalza, A, Guerrero Pérez, A I, Penninx, B W, Siddi, S, Haro, J M, Myin-Germeys, I, Rintala, A, Wykes, T, Narayan, V A, Comi, G, Hotopf, M, Dobson, R J & RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992 . https://doi.org/10.2196/19992
JOURNAL OF MEDICAL INTERNET RESEARCH
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname
RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992, pp. e19992 . https://doi.org/10.2196/19992
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Journal of Medical Internet Research, Vol 22, Iss 9, p e19992 (2020)
Journal of Medical Internet Research
Sun, S, Folarin, A A, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Cummins, N, Matcham, F, Dalla Costa, G, Simblett, S, Leocani, L, Lamers, F, Sørensen, P S, Buron, M, Zabalza, A, Guerrero Pérez, A I, Penninx, B W, Siddi, S, Haro, J M, Myin-Germeys, I, Rintala, A, Wykes, T, Narayan, V A, Comi, G, Hotopf, M, Dobson, R J & RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992 . https://doi.org/10.2196/19992
JOURNAL OF MEDICAL INTERNET RESEARCH
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname
RADAR-CNS Consortium 2020, ' Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19 ', Journal of Medical Internet Research, vol. 22, no. 9, e19992, pp. e19992 . https://doi.org/10.2196/19992
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Background In the absence of a vaccine or effective treatment for COVID-19, countries have adopted nonpharmaceutical interventions (NPIs) such as social distancing and full lockdown. An objective and quantitative means of passively monitoring the imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d90d280a71a3bda353785fe9ec052945
https://research.vumc.nl/en/publications/6f80bd20-1cf7-407f-b71c-1d62a98fca60
https://research.vumc.nl/en/publications/6f80bd20-1cf7-407f-b71c-1d62a98fca60
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-12 (2021)
The implementation of governmental Non-Pharmaceutical Interventions (NPIs) has been the primary means of controlling the spread of the COVID-19 disease. The intended effect of these NPIs has been to reduce mobility. A strong reduction in mobility is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b1a8a740361a557ee78bea985f95845
http://arxiv.org/abs/2009.09648
http://arxiv.org/abs/2009.09648
Autor:
Gerrit-Jan Noordergraaf, Igor Wilhelmus Franciscus Paulussen, Wouter Herman Peeters, Ronald M. Aarts, Shaoxiong Sun, Xi Long, Rick Bezemer
Publikováno v:
Physiological Measurement, 38(12), 2101-2121. Institute of Physics
Objective: Arterial pulse pressure variation (PPV) is widely used for predicting fluid responsiveness and supporting fluid management in the operating room and intensive care unit. Available PPV algorithms have been typically validated for fluid resp
Autor:
Laiou, Petroula, Kaliukhovich, Dzmitry A., Folarin, Amos A., Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, Shaoxiong Sun, M., Yuezhou Zhang, Matcham, Faith, Ivan, Alina, Lavelle, Grace, Siddi, Sara, Lamers, Femke, Penninx, Brenda W. J. H., Haro, Josep Maria, Annas, Peter, Cummins, Nicholas, Vairavan, Srinivasan, Manyakov, Nikolay V.
Publikováno v:
JMIR mHealth & uHealth; Jan2022, Vol. 10 Issue 1, p222-234, 13p
Autor:
Igor Wilhelmus Franciscus Paulussen, Rick Bezemer, Shaoxiong Sun, Gerrit Jan Noordergraaf, Ronald M. Aarts, Xi Long, Wouter Herman Peeters
Publikováno v:
Journal of Clinical Monitoring and Computing, 33(1). Springer
Journal of Clinical Monitoring and Computing
Journal of Clinical Monitoring and Computing
To non-invasively predict fluid responsiveness, respiration-induced pulse amplitude variation (PAV) in the photoplethysmographic (PPG) signal has been proposed as an alternative to pulse pressure variation (PPV) in the arterial blood pressure (ABP) s
Publikováno v:
Physiological Measurement, 37(12), 2154-2169. Institute of Physics
In this work, a model to estimate systolic blood pressure (SBP) using photoplethysmography (PPG) and electrocardiography (ECG) is proposed. Data from 19 subjects doing a 40 min exercise was analyzed. Reference SBP was measured at the finger based on
Autor:
Valeria de Angel, Fadekemi Adeleye, Yuezhou Zhang, Nicholas Cummins, Sara Munir, Serena Lewis, Estela Laporta Puyal, Faith Matcham, Shaoxiong Sun, Amos Folarin, Yatharth Ranjan, Pauline Conde, Zulqarnain Rashid, Richard James Butler Dobson, Matthew Hotopf
Publikováno v:
King's College London
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7e13e7b1ce2b94eb7728d9d9f5fc872a
https://kclpure.kcl.ac.uk/portal/en/publications/the-feasibility-of-implementing-remote-measurement-technologies-in-psychological-treatment-for-depression(f429d803-659f-4728-ba5d-4ed82302afb5).html
https://kclpure.kcl.ac.uk/portal/en/publications/the-feasibility-of-implementing-remote-measurement-technologies-in-psychological-treatment-for-depression(f429d803-659f-4728-ba5d-4ed82302afb5).html
Autor:
Yuezhou Zhang, Folarin, Amos A., Shaoxiong Sun, Nicholas Cummins, Srinivasan Vairavan, Linglong Qian, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Petroula Laiou, Heet Sankesara, Faith Alexandra Elisabeth Matcham, Katie M White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, Mohr, David C., Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Wjh, Brenda Penninx, Narayan, Vaibhav A., Peter Annas, Matthew Hotopf, Richard James Butler Dobson, Radar-Cns, Consortium
Publikováno v:
King's College London
Zhang, Y, Folarin, A A, Sun, S, Cummins, N, Vairavan, S, Qian, L, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Laiou, P, Sankesara, H, Matcham, F, White, K M, Oetzmann, C, Ivan, A, Lamers, F, Siddi, S, Simblett, S, Rintala, A, Mohr, D C, Myin-Germeys, I, Wykes, T, Haro, J M, Penninx, B WJH, Narayan, V A, Annas, P, Hotopf, M, Dobson, R JB & consortium, RADAR-CNS 2022 ' Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings ' . < https://arxiv.org/abs/2201.12644 >
Zhang, Y, Folarin, A A, Sun, S, Cummins, N, Vairavan, S, Qian, L, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Laiou, P, Sankesara, H, Matcham, F, White, K M, Oetzmann, C, Ivan, A, Lamers, F, Siddi, S, Simblett, S, Rintala, A, Mohr, D C, Myin-Germeys, I, Wykes, T, Haro, J M, Penninx, B WJH, Narayan, V A, Annas, P, Hotopf, M, Dobson, R JB & consortium, RADAR-CNS 2022 ' Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings ' . < https://arxiv.org/abs/2201.12644 >
Gait is an essential manifestation of depression. Laboratory gait characteristics have been found to be closely associated with depression. However, the gait characteristics of daily walking in real-world scenarios and their relationships with depres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::08b1b7cf8ae8700fec520a3366428560
https://kclpure.kcl.ac.uk/portal/en/publications/associations-between-depression-symptom-severity-and-dailylife-gait-characteristics-derived-from-longterm-acceleration-signals-in-realworld-settings(7ca10c04-1067-4da8-b861-2b052245a700).html
https://kclpure.kcl.ac.uk/portal/en/publications/associations-between-depression-symptom-severity-and-dailylife-gait-characteristics-derived-from-longterm-acceleration-signals-in-realworld-settings(7ca10c04-1067-4da8-b861-2b052245a700).html
Autor:
Yuezhou Zhang, Folarin, Amos A., Shaoxiong Sun, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Petroula Laiou, Faith Alexandra Elisabeth Matcham, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, Mohr, David C., Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Wjh, Brenda Pennix, Narayan, Vaibhav A., Peter Annas, Matthew Hotopf, Richard James Butler Dobson
Publikováno v:
King's College London
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::07a1afc755a5c42d6472665469a9757f
https://kclpure.kcl.ac.uk/portal/en/publications/predicting-depressive-symptom-severity-through-individuals-nearby-bluetooth-devices-count-data-collected-by-mobile-phones(358dc628-76c9-447b-8916-c167eb182629).html
https://kclpure.kcl.ac.uk/portal/en/publications/predicting-depressive-symptom-severity-through-individuals-nearby-bluetooth-devices-count-data-collected-by-mobile-phones(358dc628-76c9-447b-8916-c167eb182629).html