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Digital Health Technologies for Optimising Treatment and Rehabilitation Following Surgery: Device-Based Measurement of Sling Posture and Adherence.
Sensors (Basel)
December 2024
Assessment of Movement Behaviours (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.
Background: Following shoulder surgery, controlled and protected mobilisation for an appropriate duration is crucial for appropriate recovery. However, methods for objective assessment of sling wear and use in everyday living are currently lacking. In this pilot study, we aim to determine if a sling-embedded triaxial accelerometer and/or wrist-worn sensor can be used to quantify arm posture during sling wear and adherence to sling wear.
View Article and Find Full Text PDFIdentification and quantification of physical activity in critically ill burn patients: A feasibility study.
Burns
February 2025
Alliance of Dutch Burn Centers, Burn Center Martini Hospital Groningen, Groningen, the Netherlands; Hanze University of Applied Sciences Groningen, Research Group Healthy Ageing, Allied Healthcare and Nursing, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Human Movement Sciences, Groningen, the Netherlands. Electronic address:
Article Synopsis
- - This study explored using a dual accelerometer method to track physical activity in critically ill burn patients, aiming to gather detailed data on the type and duration of their activities during hospitalization.
- - Conducted in a burn center in the Netherlands, five patients with significant burn injuries participated and wore accelerometers on their chest and thigh to monitor activity, resulting in analysis of 14-49 days of data per patient.
- - The findings showed that while the method effectively identified and quantified activities during wear time, the data processing was labor-intensive and needed improvement for practical clinical use.
A proof of concept for wear/non-wear classification using accelerometer data in daily activity recording: Synthetic algorithm leveraging probability and continuity of zero counts.
PLoS One
October 2024
Department of Health and Sport Sciences, Graduate School of Medicine, Osaka University, Toyonaka, Osaka, Japan.
Wearable devices are increasingly utilized to monitor physical activity and sedentary behaviors. Accurately determining wear/non-wear time is complicated by zero counts, where the acceleration-based indexes do not estimate activity intensity, often leading to misclassifications. We propose a novel synthetic classification algorithm that leverages both the probability and continuity of zero counts, aiming to enhance the accuracy of activity estimation.
View Article and Find Full Text PDFReliable measures of rest-activity rhythm fragmentation: how many days are needed?
Eur Rev Aging Phys Act
October 2024
Epidemiology of Ageing and Neurodegenerative Diseases, Université Paris Cité, INSERM, U1153, CRESS, 10 Avenue de Verdun, Paris, 75010, France.
Background: A more fragmented, less stable rest-activity rhythm (RAR) is emerging as a risk factor for health. Accelerometer devices are increasingly used to measure RAR fragmentation using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probabilities (TP), self-similarity parameter (α), and activity balance index (ABI). These metrics were proposed in the context of long period of wear but, in real life, non-wear might introduce measurement bias.
View Article and Find Full Text PDFComparing national device-based physical activity surveillance systems: a systematic review.
Int J Behav Nutr Phys Act
July 2024
Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, van der Boechorststraat 7, Amsterdam, 1081BT, the Netherlands.
Background: Physical activity surveillance systems are important for public health monitoring but rely mostly on self-report measurement of physical activity. Integration of device-based measurements in such systems can improve population estimates, however this is still relatively uncommon in existing surveillance systems. This systematic review aims to create an overview of the methodology used in existing device-based national PA surveillance systems.
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