Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors
المؤلفون المشاركون
Yan, Kestens
Tracie, Barnett
Marie, Lambert
Jean-Luc, Bigras
Mathieu, Marie-Eve
Mélanie, Henderson
St-Onge, Maxime
Benoit, Thierry
المصدر
International Journal of Pediatrics
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-01-06
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Background.
While increasing evidence links environments to health behavior, clinicians lack information about patients’ physical activity levels and lifestyle environments.
We present mobile health tools to collect and use spatio-behavioural lifestyle data for personalized physical activity plans in clinical settings.
Methods.
The Dyn@mo lifestyle intervention was developed at the Sainte-Justine University Hospital Center to promote physical activity and reduce sedentary time among children with cardiometabolic risk factors.
Mobility, physical activity, and heart rate were measured in free-living environments during seven days.
Algorithms processed data to generate spatio-behavioural indicators that fed a web-based interactive mapping application for personalised counseling.
Proof of concept and tools are presented using data collected among the first 37 participants recruited in 2011.
Results.
Valid accelerometer data was available for 5.6 (SD=1.62) days in average, heart rate data for 6.5 days, and GPS data was available for 6.1 (2.1) days.
Spatio-behavioural indicators were shared between patients, parents, and practitioners to support counseling.
Conclusion.
Use of wearable sensors along with data treatment algorithms and visualisation tools allow to better measure and describe real-life environments, mobility, physical activity, and physiological responses.
Increased specificity in lifestyle interventions opens new avenues for remote patient monitoring and intervention.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yan, Kestens& Tracie, Barnett& Mathieu, Marie-Eve& Mélanie, Henderson& Jean-Luc, Bigras& Benoit, Thierry…[et al.]. 2014. Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors. International Journal of Pediatrics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-463892
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yan, Kestens…[et al.]. Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors. International Journal of Pediatrics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-463892
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yan, Kestens& Tracie, Barnett& Mathieu, Marie-Eve& Mélanie, Henderson& Jean-Luc, Bigras& Benoit, Thierry…[et al.]. Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors. International Journal of Pediatrics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-463892
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-463892
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر