Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yatharth Ranjan"'
Autor:
Sara Siddi, Nicholas Cummins, Vaibhav A. Narayan, Callum Stewart, Sara Simblett, Femke Lamers, Shaoxiong Sun, Yatharth Ranjan, Aki Rintala, Inez Myin-Germeys, Til Wykes, Richard Dobson, Zulqarnain Rashid, Brenda W.J.H. Penninx, Yuezhou Zhang, Josep Maria Haro, Pauline Conde, Faith Matcham, Katie M White, Matthew Hotopf, Rebecca Bendayan, Amos Folarin, Petroula Laiou
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 4, p e24604 (2021)
RADAR-CNS Consortium 2021, ' Relationship between major depression symptom severity and sleep collected using a wristband wearable device : Multicenter longitudinal observational study ', Jmir mhealth and uhealth, vol. 9, no. 4, e24604 . https://doi.org/10.2196/24604
Zhang, Y, Folarin, A A, Sun, S, Cummins, N, Bendayan, R, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Laiou, P, Matcham, F, White, K M, Lamers, F, Siddi, S, Simblett, S, Myin-Germeys, I, Rintala, A, Wykes, T, Haro, J M, Penninx, B W, Narayan, V A & Hotopf, M & Dobson, R J 2021, ' Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device : Multicenter Longitudinal Observational Study ', JMIR mHealth and uHealth, vol. 9, no. 4, e24604, pp. e24604 . https://doi.org/10.2196/24604
JMIR mHealth and uHealth
Jmir mhealth and uhealth, 9(4):e24604. Journal of medical Internet Research
RADAR-CNS Consortium 2021, ' Relationship between major depression symptom severity and sleep collected using a wristband wearable device : Multicenter longitudinal observational study ', Jmir mhealth and uhealth, vol. 9, no. 4, e24604 . https://doi.org/10.2196/24604
Zhang, Y, Folarin, A A, Sun, S, Cummins, N, Bendayan, R, Ranjan, Y, Rashid, Z, Conde, P, Stewart, C, Laiou, P, Matcham, F, White, K M, Lamers, F, Siddi, S, Simblett, S, Myin-Germeys, I, Rintala, A, Wykes, T, Haro, J M, Penninx, B W, Narayan, V A & Hotopf, M & Dobson, R J 2021, ' Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device : Multicenter Longitudinal Observational Study ', JMIR mHealth and uHealth, vol. 9, no. 4, e24604, pp. e24604 . https://doi.org/10.2196/24604
JMIR mHealth and uHealth
Jmir mhealth and uhealth, 9(4):e24604. Journal of medical Internet Research
Background Sleep problems tend to vary according to the course of the disorder in individuals with mental health problems. Research in mental health has associated sleep pathologies with depression. However, the gold standard for sleep assessment, po
Autor:
Callum Stewart, Zulqarnain Rashid, Amos Folarin, Xi Bai, Richard Dobson, Yatharth Ranjan, Heet Sankesara, Pauline Conde
Publikováno v:
JMIR Research Protocols
Background The ubiquity of mobile phones and increasing use of wearable fitness trackers offer a wide-ranging window into people’s health and well-being. There are clear advantages in using remote monitoring technologies to gain an insight into hea
Autor:
Richard Dobson, Yatharth Ranjan, Amos Folarin, Michele Orini, Joseph Jacob, Joanna Porter, Malik Althobiani, John Hurst
Publikováno v:
JMIR Research Protocols
BackgroundChronic lung disorders like chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) are characterized by exacerbations. They are unpleasant for patients and sometimes severe enough to cause hospital admission an
Autor:
Zulqarnain Rashid, Richard Dobson, Denny Verbeeck, Hyve, Pauline Conde, Sebastian Boettcher, Callum Stewart, Amos Folarin, Mark Begale, Yatharth Ranjan
Publikováno v:
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol 7, Iss 8, p e11734 (2019)
Ranjan, Y, Rashid, Z, Stewart, C, Begale, M, Verbeeck, D, Boettcher, S, Conde, P, Dobson, R & Folarin, A 2019, ' RADAR-base : Open source mobile health platform for collecting, monitoring, and analyzing data using sensors, wearables, and mobile devices ', JMIR mHealth and uHealth, vol. 7, no. 8, e11734 . https://doi.org/10.2196/11734
JMIR mHealth and uHealth, Vol 7, Iss 8, p e11734 (2019)
Ranjan, Y, Rashid, Z, Stewart, C, Begale, M, Verbeeck, D, Boettcher, S, Conde, P, Dobson, R & Folarin, A 2019, ' RADAR-base : Open source mobile health platform for collecting, monitoring, and analyzing data using sensors, wearables, and mobile devices ', JMIR mHealth and uHealth, vol. 7, no. 8, e11734 . https://doi.org/10.2196/11734
Background With a wide range of use cases in both research and clinical domains, collecting continuous mobile health (mHealth) streaming data from multiple sources in a secure, highly scalable, and extensible platform is of high interest to the open
Autor:
Zulqarnain Rashid, Sebastian Böttcher, Amos Folarin, Richard Dobson, Maximilian Kerz, Yatharth Ranjan
Publikováno v:
UbiComp/ISWC Adjunct
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers -UbiComp '18
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers-UbiComp 18
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers -UbiComp '18
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers-UbiComp 18
Smartphones with embedded and connected sensors are playing vital role in healthcare through various apps and mHealth platforms. RADAR-base is a modern mHealth data collection platform built around Confluent and Apache Kafka. RADAR-base enables study