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| http://dx.doi.org/10.1111/apa.15740 | DOI Listing |
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Department of Physical Education and Sport, University of Granada, Granada, Spain.
The purposes were to examine the criterion-related validity of the steps estimated by consumer-wearable activity trackers (wrist-worn activity trackers: Fitbit Ace 2, Garmin Vivofit Jr, and Xiomi Mi Band 5; smartphone applications: Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health) and their comparability in primary schoolchildren under controlled conditions. An initial sample of 66 primary schoolchildren (final sample = 56; 46.4% females), aged 9-12 years old (mean = 10.
View Article and Find Full Text PDFAutomatic assessment of infant carrying and holding using at-home wearable recordings.
Sci Rep
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BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, New Children's Hospital and HUS Imaging, Helsinki University Hospital, Helsinki, Finland.
Assessing infant carrying and holding (C/H), or physical infant-caregiver interaction, is important for a wide range of contexts in development research. An automated detection and quantification of infant C/H is particularly needed in long term at-home studies where development of infants' neurobehavior is measured using wearable devices. Here, we first developed a phenomenological categorization for physical infant-caregiver interactions to support five different definitions of C/H behaviors.
View Article and Find Full Text PDFCombining Cardiorespiratory Signals and Video-Based Actigraphy for Classifying Preterm Infant Sleep States.
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Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.
The classification of sleep state in preterm infants, particularly in distinguishing between active sleep (AS) and quiet sleep (QS), has been investigated using cardiorespiratory information such as electrocardiography (ECG) and respiratory signals. However, accurately differentiating between AS and wake remains challenging; therefore, there is a pressing need to include additional information to further enhance the classification performance. To address the challenge, this study explores the effectiveness of incorporating video-based actigraphy analysis alongside cardiorespiratory signals for classifying the sleep states of preterm infants.
View Article and Find Full Text PDFPediatric pain rehabilitation during the COVID-19 pandemic: exploring the effectiveness of a hybrid intensive interdisciplinary pain treatment model.
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Mayo Family Pediatric Pain Rehabilitation Center, Boston Children's Hospital, Boston, MA, USA.
Article Synopsis
- The study examined the effectiveness of a hybrid pain treatment model (50% in-person and 50% telehealth) for youths with chronic pain and compared it to a traditional in-person model.
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Video-based actigraphy is an effective contact-free method of assessing sleep in preterm infants.
Acta Paediatr
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Department of Neonatology, Máxima Medical Center, Veldhoven, The Netherlands.
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