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JOURNAL ARTICLE
Hang Yuan, Tatiana Plekhanova, Rosemary Walmsley, Amy C Reynolds, Kathleen J Maddison, Maja Bucan, Philip Gehrman, Alex Rowlands, David W Ray, Derrick Bennett, Joanne McVeigh, Leon Straker, Peter Eastwood, Simon D Kyle, Aiden Doherty
Sleep is essential to life. Accurate measurement and classification of sleep/wake and sleep stages is important in clinical studies for sleep disorder diagnoses and in the interpretation of data from consumer devices for monitoring physical and mental well-being. Existing non-polysomnography sleep classification techniques mainly rely on heuristic methods developed in relatively small cohorts. Thus, we aimed to establish the accuracy of wrist-worn accelerometers for sleep stage classification and subsequently describe the association between sleep duration and efficiency (proportion of total time asleep when in bed) with mortality outcomes...
May 20, 2024: NPJ Digital Medicine
#2
JOURNAL ARTICLE
Scott R Small, Shing Chan, Rosemary Walmsley, Lennart von Fritsch, Aidan Acquah, Gert Mertes, Benjamin G Feakins, Andrew Creagh, Adam Strange, Charles E Matthews, David A Clifton, Andrew J Price, Sara Khalid, Derrick Bennett, Aiden Doherty
PURPOSE: Step count is an intuitive measure of physical activity frequently quantified in health-related studies; however, accurate step counting is difficult in the free-living environment, with error routinely above 20% in wrist-worn devices against camera-annotated ground truth. This study aims to describe the development and validation of step count derived from a wrist-worn accelerometer and assess its association with cardiovascular and all-cause mortality in a large prospective cohort...
May 15, 2024: Medicine and Science in Sports and Exercise
#3
JOURNAL ARTICLE
Alison E Hake, Panagiota Kitsopoulos, Karl Grosh
For the last 20 years, researchers have developed accelerometers to function as ossicular vibration sensors in order to eliminate the external components of hearing aid and cochlear implant systems. To date, no accelerometer has met all of the stringent performance requirements necessary to function in this capacity. In this work, we present an accelerometer design with an equivalent noise floor less than 20 phon equal-loudness-level over a 0.1-8 kHz bandwidth in a package small enough to be implanted in the middle ear...
July 2023: IEEE Sensors Journal
#4
J Dylan Weissenkampen, Arpita Ghorai, Maria Fasolino, Brielle Gehringer, Maya Rajan, Holly C Dow, Ronnie Sebro, Daniel J Rader, Brendan T Keenan, Laura Almasy, Edward S Brodkin, Maja Bucan
BACKGROUND: Autism spectrum disorder (ASD) is a highly heritable and heterogeneous neurodevelopmental disorder characterized by impaired social interactions, repetitive behaviors, and a wide range of comorbidities. Between 44-83% of autistic individuals report sleep disturbances, which may share an underlying neurodevelopmental basis with ASD. METHODS: We recruited 382 ASD individuals and 223 of their family members to obtain quantitative ASD-related traits and wearable device-based accelerometer data spanning three consecutive weeks...
May 7, 2024: bioRxiv
#5
JOURNAL ARTICLE
Nia Toomer-Mensah, Margaret O'Neil, Miguel Blacutt, Lori Quinn
AIM: The purpose of this case series was to describe physical activity (PA) amount and intensity in the home and school environment. Accelerometers and heart rate (HR) monitors are reliable and valid measures of PA in children with cerebral palsy (CP) who can walk. There is limited research on PA measures in children with CP who cannot walk. METHODS: Three 9-year-old boys with CP, Gross Motor Function Classification System levels IV and V, participated in a 1-week measurement period wearing waist- and wrist-worn triaxial accelerometers to measure PA counts and a wrist-worn HR monitor to measure PA intensity...
May 16, 2024: Pediatric Physical Therapy
#6
JOURNAL ARTICLE
Carolyn E Dunford, Nikki J Marks, Rory P Wilson, D Michael Scantlebury
Observing animals in the wild often poses extreme challenges, but animal-borne accelerometers are increasingly revealing unobservable behaviours. Automated machine learning streamlines behaviour identification from the substantial datasets generated during multi-animal, long-term studies; however, the accuracy of such models depends on the qualities of the training data. We examined how data processing influenced the predictive accuracy of random forest (RF) models, leveraging the easily observed domestic cat ( Felis catus ) as a model organism for terrestrial mammalian behaviours...
May 2024: Ecology and Evolution
#7
JOURNAL ARTICLE
Nicole Freene, Susan Hartono, Margaret McManus, Tarryn Mair, Ren Tan, Rachel Davey
OBJECTIVES: To examine the long-term validity of the Active Australia Survey in a cardiac rehabilitation population using accelerometry as the reference measure. DESIGN: Cohort validation study. METHODS: Cardiac rehabilitation participants with coronary heart disease were recruited to a prospective cohort study. Over 7-days, 61 participants wore an ActiGraph ActiSleep accelerometer (1-second epoch, 10-minute bout) and completed the self-administered Active Australia Survey at baseline, 6-weeks, 6 and 12-months...
May 5, 2024: Journal of Science and Medicine in Sport
#8
JOURNAL ARTICLE
T Remmers, P Koolwijk, I Fassaert, J Nolles, W de Groot, S B Vos, S I de Vries, R Mombarg, D H H Van Kann
BACKGROUND: Previous research indicates the start of primary school (4-5-year-old) as an essential period for the development of children's physical activity (PA) patterns, as from this point, the age-related decline of PA is most often observed. During this period, young children are exposed to a wider variety of environmental- and social contexts and therefore their PA is influenced by more diverse factors. However, in order to understand children's daily PA patterns and identify relevant opportunities for PA promotion, it is important to further unravel in which (social) contexts throughout the day, PA of young children takes place...
May 14, 2024: International Journal of Health Geographics
#9
JOURNAL ARTICLE
Xu Liu, Jian Wang, Fei Liu, Craig Hancock
Spectrum feature extraction plays a crucial role in identifying seismic events and calculating structural response parameters. However, the criteria for identifying effective modal components in Variational Mode Decomposition (VMD) are not well-defined, resulting in inaccurate spectrum feature extraction. To address this issue, we propose a novel spectrum feature extraction method that combines Allan variance, VMD, and power spectral density (PSD). Firstly, VMD is applied to filter noise components from triaxial accelerometer observations and add effective signals...
May 14, 2024: Scientific Reports
#10
JOURNAL ARTICLE
Validation of physical activity levels from shank-placed Axivity AX6 accelerometers in older adults.
Fatima Gafoor, Matthew Ruder, Dylan Kobsar
This cross-sectional study aimed to identify and validate cut-points for measuring physical activity using Axivity AX6 accelerometers positioned at the shank in older adults. Free-living physical activity was assessed in 35 adults aged 55 and older, where each participant wore a shank-mounted Axivity and a waist-mounted ActiGraph simultaneously for 72 hours. Optimized cut-points for each participant's Axivity data were determined using an optimization algorithm to align with ActiGraph results. To assess the validity between the physical activity assessments from the optimized Axivity cut-points, a leave-one-out cross-validation was conducted...
2024: PloS One
#11
JOURNAL ARTICLE
Yash Shashank Vakilna, Xiaojin Li, Jaison S Hampson, Yan Huang, John C Mosher, Yuri Dabaghian, Xi Luo, Blanca Talavera, Sandipan Pati, Masel Todd, Ryan Hays, Charles Akos Szabo, Guo-Qiang Zhang, Samden D Lhatoo
OBJECTIVE: The aim of this study was to develop a machine learning algorithm using an off-the-shelf digital watch, the Samsung watch (SM-R800), and evaluate its effectiveness for the detection of generalized convulsive seizures (GCS) in persons with epilepsy. METHODS: This multisite epilepsy monitoring unit (EMU) phase 2 study included 36 adult patients. Each patient wore a Samsung watch that contained accelerometer, gyroscope, and photoplethysmographic sensors...
May 13, 2024: Epilepsia
#12
JOURNAL ARTICLE
Timothy Morgan, Abby Basalely, Pamela Singer, Laura Castellanos, Christine B Sethna
PURPOSE: This work aims to assess the association of sleep duration with cardiometabolic risk (adiposity, blood pressure, lipids, albuminuria and A1C) and to investigate lifestyle factors (physical activity, light exposure, caffeine consumption and sugar consumption) associated with sleep duration in children. METHODS: A nationally representative sample of 3907 children ages 6-17 years enrolled in NHANES from 2011 to 2014 was included in this cross-sectional study...
May 2024: Child: Care, Health and Development
#13
JOURNAL ARTICLE
Irum Yaqoob, Silmara Gusso, Mark Simpson, Rebecca M Meiring
BACKGROUND: Accelerometers are commonly used for the assessment of PA; however, these devices have not been validated in people with dystonia who experience movement limitations. To properly understand movement behaviors and deliver accurate exercise prescription in this population, the validity of these devices must be tested. OBJECTIVE: This study aimed to validate step count and postural transitions detected by the activPAL accelerometer (AP) against direct observation (DO) during two functional assessments: the 30-s sit-to-stand (30STS) and 6-min usual-pace walk tests...
2024: Frontiers in Neurology
#14
JOURNAL ARTICLE
Joshua Culverhouse, Melvyn Hillsdon, Annemarie Koster, Hans Bosma, Bastiaan E de Galan, Hans H C M Savelberg, Richard Pulsford
INTRODUCTION: Age-related declines in physical functioning have significant implications for health in later life. Physical activity (PA) volume is associated with physical function, but the importance of the pattern in which PA is accumulated is unclear. This study investigates associations between accelerometer-determined daily PA patterns, including composition and temporal distribution (burstiness) of upright and stepping events, with physical function. METHODS: Data was from participants who wore an activPAL3 accelerometer as part of The Maastricht Study...
May 9, 2024: European Review of Aging and Physical Activity
#15
JOURNAL ARTICLE
Kamil Książek, Wilhelm Masarczyk, Przemysław Głomb, Michał Romaszewski, Iga Stokłosa, Piotr Ścisło, Paweł Dębski, Robert Pudlo, Krisztián Buza, Piotr Gorczyca, Magdalena Piegza
BACKGROUND: Advancement in mental health care requires easily accessible, efficient diagnostic and treatment assessment tools. Viable biomarkers could enable objectification and automation of the diagnostic and treatment process, currently dependent on a psychiatric interview. Available wearable technology and computational methods make it possible to incorporate heart rate variability (HRV), an indicator of autonomic nervous system (ANS) activity, into potential diagnostic and treatment assessment frameworks as a biomarker of disease severity in mental disorders, including schizophrenia and bipolar disorder (BD)...
May 3, 2024: Computers in Biology and Medicine
#16
JOURNAL ARTICLE
Guillaume Wattelez, Krestina L Amon, Rowena Forsyth, Stéphane Frayon, Akila Nedjar-Guerre, Corinne Caillaud, Olivier Galy
OBJECTIVES: The objective of this study is to assess the concordance and its association with sociocultural background of a four-question survey with accelerometry in a multiethnic adolescent population, regarding sleep components. Based on questions from the Pittsburgh Sleep Quality Index and adapted to a school context, the questionnaire focussed on estimating sleep onset time, wake-up time and sleep duration on both weekdays and weekends. This subjective survey was compared with accelerometry data while also considering the influence of sociocultural factors (sex, place of living, ethnic community and socio-economic status)...
May 2024: Child: Care, Health and Development
#17
JOURNAL ARTICLE
Wei Liu, Timothy Chambers, Kimberly A Clevenger, Karin A Pfeiffer, Zachary Rzotkiewicz, Hyunseo Park, Amber L Pearson
Spending time outdoors is associated with increased time spent in physical activity, lower chronic disease risk, and wellbeing. Many studies rely on self-reported measures, which are prone to recall bias. Other methods rely on features and functions only available in some GPS devices. Thus, a reliable and versatile method to objectively quantify time spent outdoors is needed. This study sought to develop a versatile method to classify indoor and outdoor (I/O) GPS data that can be widely applied using most types of GPS and accelerometer devices...
2024: PloS One
#18
JOURNAL ARTICLE
Marvin Y Chong, Koen G Frenken, Simone J P M Eussen, Annemarie Koster, Gerda K Pot, Stéphanie O Breukink, Maryska Janssen-Heijnen, Eric T P Keulen, Wouter Bijnens, Laurien M Buffart, Kenneth Meijer, Frank A J L Scheer, Karen Steindorf, Judith de Vos-Geelen, Matty P Weijenberg, Eline H van Roekel, Martijn J L Bours
BACKGROUND: There is a growing population of survivors of colorectal cancer (CRC). Fatigue and insomnia are common symptoms after CRC, negatively influencing health-related quality of life (HRQoL). Besides increasing physical activity and decreasing sedentary behavior, the timing and patterns of physical activity and rest over the 24-h day (i.e. diurnal rest-activity rhythms) could also play a role in alleviating these symptoms and improving HRQoL. We investigated longitudinal associations of the diurnal rest-activity rhythm (RAR) with fatigue, insomnia, and HRQoL in survivors of CRC...
May 2, 2024: International Journal of Behavioral Nutrition and Physical Activity
#19
JOURNAL ARTICLE
Felix Kluge, Yonatan E Brand, M Encarna Micó-Amigo, Stefano Bertuletti, Ilaria D'Ascanio, Eran Gazit, Tecla Bonci, Cameron Kirk, Arne Küderle, Luca Palmerini, Anisoara Paraschiv-Ionescu, Francesca Salis, Abolfazl Soltani, Martin Ullrich, Lisa Alcock, Kamiar Aminian, Clemens Becker, Philip Brown, Joren Buekers, Anne-Elie Carsin, Marco Caruso, Brian Caulfield, Andrea Cereatti, Lorenzo Chiari, Carlos Echevarria, Bjoern Eskofier, Jordi Evers, Judith Garcia-Aymerich, Tilo Hache, Clint Hansen, Jeffrey M Hausdorff, Hugo Hiden, Emily Hume, Alison Keogh, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Martijn Niessen, Or Perlman, Lars Schwickert, Kirsty Scott, Basil Sharrack, David Singleton, Beatrix Vereijken, Ioannis Vogiatzis, Alison Yarnall, Lynn Rochester, Claudia Mazzà, Silvia Del Din, Arne Mueller
BACKGROUND: Wrist-worn inertial sensors are used in digital health for evaluating mobility in real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, gait detection is an important step to identify regions of interest where gait occurs, which requires robust algorithms due to the complexity of arm movements. While algorithms exist for other sensor positions, a comparative validation of algorithms applied to the wrist position on real-world data sets across different disease populations is missing...
May 1, 2024: JMIR Formative Research
#20
JOURNAL ARTICLE
Elyse Letts, Josephine S Jakubowski, Sara King-Dowling, Kimberly A Clevenger, Dylan Kobsar, Joyce Obeid
INTRODUCTION: Accelerometers are devices commonly used to measure human physical activity and sedentary time. Accelerometer capabilities and analytical techniques have evolved rapidly, making it difficult for researchers to keep track of advances and best practices for data processing and analysis. OBJECTIVE: The objective of this scoping review is to determine the existing methods for analyzing accelerometer data for capturing human movement which have been validated against the criterion measure of direct observation...
April 30, 2024: Physiological Measurement
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