Wearable acceleration sensors are increasingly used for the assessment of free-living physical activity. Acceleration sensor calibration is a potential source error. This study aims to describe and evaluate an autocalibration method minimize error using segments within records (no extra experiments needed). The entailed extraction nonmovement periods in data, which measured vector magnitude should ideally be gravitational (1 g); this property was derive correction factors iterative...

The Sedentary Sphere is a method for the analysis, identification, and visual presentation of sedentary behaviors from wrist-worn triaxial accelerometer.This study aimed to introduce concept determine accuracy posture classification wrist accelerometer data.Three samples were used: 1) free living (n = 13, ages 20-60 yr); 2) laboratory based 25, 30-65 3) hospital inpatients 10, 60-90 yr). All participants wore GENEActiv on their activPAL thigh. free-living sample an additional thigh completed...

Sheep are highly social domesticated animals that evolved to live in large and structured groups. As other group-living species, individuals differ the level of association they have with others, these associations often result lasting stable bonds. However, there substantial gaps our knowledge temporal dynamics sheep, how their bonds vary relation environmental changes. Here, we aimed assess relationships between ewes lambs, collecting dyadic data 41 55 lambs through use proximity loggers...

Low energy availability (EA) may impede adaptation to exercise, suppressing reproductive function and bone turnover. Exercise expenditure (EEE) measurements lack definition consistency. This study aimed compare EA measured from moderate vigorous physical activity accelerometry (EEEmpva) with total (EEEtpa) doubly labeled water in women. The secondary aim was determine the relationship of fitness, body composition by dual-energy x-ray absorptiometry, heart rate variability (HRV), eating...

Measures of stepping volume and rate are common outputs from wearable devices, such as accelerometers. It has been proposed that biomedical technologies, including accelerometers their algorithms, should undergo rigorous verification well analytical clinical validation to demonstrate they fit for purpose. The aim this study was use the V3 framework assess validity a wrist-worn measurement system rate, formed by GENEActiv accelerometer GENEAcount step counting algorithm. assessed measuring...

Abstract Aims Patient-reported outcome measures (PROMs) serve multiple purposes, including shared decision-making and patient communication, treatment monitoring, health technology assessment. Patient monitoring using PROMs is constrained by recall non-response bias, respondent burden, missing data. We evaluated the potential of behavioural digital biomarkers obtained from a wearable accelerometer to achieve personalized predictions PROMs. Methods results Data multicentre, prospective...

ABSTRACT Purpose This study aimed to apply open-source analysis code raw habitual physical activity data from wrist-worn monitors to: 1) objectively, unobtrusively, and accurately discriminate between “running” “nonrunning” days; 2) develop compare simple accelerometer-derived metrics of external training load with existing self-report measures. Methods Seven-day accelerometer (GENEActiv; Activinsights Ltd, Kimbolton, UK) obtained 35 experienced runners (age, 41.9 ± 11.4 yr; height, 1.72...

Abstract Aims Wearable health technologies are increasingly popular. Yet, wearable monitoring only works when devices worn as intended, and adherence reporting lacks standardization. In this study, we aimed to explore the long-term a wrist-worn activity tracker in prospective SafeHeart study identify patient characteristics associated with adherence. Methods results This enrolled 303 participants, instructed wear accelerometer day night for 6 months. Long-term was defined valid days (≥22 h...

Patients with an implantable cardioverter-defibrillator (ICD) are at a high risk of malignant ventricular arrhythmias. The use remote ICD monitoring, wearable devices, and patient-reported outcomes generate large volumes potential valuable data. Artificial intelligence-based methods can be used to develop personalized prediction models improve early-warning systems.The purpose this study was integrated web-based engine for therapy.This international, multicenter, prospective, observational...

Lameness is an important health, welfare and economic problem in sheep flocks early treatment key to controlling lameness. Biologging technology provides high-resolution, continuous data that offers a novel opportunity detect lameness either directly or by identifying behavioural changes; option would facilitate more rapid of lame than visual observation. Here, the role biologging identify through changes within between investigated. Accelerometers proximity sensors were fitted flock 50 Poll...

The measurement of behaviour in extensively managed livestock for the assessment welfare remains a challenge. Bio-logging devices offer opportunity to collect continuous behavioural data over long periods while animals are their normal physical environment. Using collar-measured acceleration from 84 ewes 28 days commercial flock, we built two-component daily phenotypic profiles with data-driven analysis techniques not reliant on human observations. Our demonstrates moderate repeatability...

Abstract Introduction Patients at high risk of sudden cardiac death are treated with an implantable cardioverter-defibrillator (ICD). Patterns in physical behaviour may be prognostic for clinical deterioration. Deep embedded clustering (DEC) employs deep neural networks to learn compact and meaningful representations from high-dimensional data, on which unsupervised then operates. Purpose The objectives this study were use DEC identify describe behavioural profiles a prospective ICD cohort...

We aimed to identify and characterise behavioural profiles in patients at high risk of SCD, by using deep representation learning day-to-day recordings. present a pipeline that employed unsupervised clustering on low-dimensional representations time-series data learned convolutional residual variational neural network (ResNet-VAE). Data from the prospective, observational SafeHeart study conducted two large tertiary university centers Netherlands Denmark were used. Patients received an...

Abstract Background and aims Patterns in physical behaviour may be associated with an increased risk of ventricular arrhythmia. We examined associations between temporal dynamics measured through wearable technology, the Methods The multicenter, prospective SafeHeart study recruited 303 patients implantable cardioverter defibrillator (ICD) from May 2021 to September 2022. Continuous data were collected over 365 consecutive days nights using accelerometers. characterised each 28-day...

Physical activity has shown association with ventricular arrhythmia, however, the role of specific behavioral patterns over a 24-hour cycle remains unknown. Therefore, we aimed to explore associations between physical behavior and appropriate implantable cardioverter-defibrillator (ICD) therapy.

<sec> <title>BACKGROUND</title> Sensor-based digital health technologies (sDHTs) are increasingly used to support scientific and clinical decision-making. The measures (DMs) they generate offer significant potential accelerate the drug development timeline, decrease trial costs, improve access care. However, choosing appropriate statistical methodology when conducting analytical validation (AV) of a DM is complicated, particularly for novel DMs, which appropriate, established reference may...

Background: Following shoulder surgery, controlled and protected mobilisation for an appropriate duration is crucial recovery. However, methods objective assessment of sling wear 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 quantify arm posture during adherence wear. Methods: Four participants were asked GENEActiv on their non-dominant wrist four hours office environment,...

Introduction Sheep have heterogenous social connections that influence transmission of some infectious diseases. Footrot is one the top five globally important diseases sheep, it caused by Dichelobacter nodosus and transmits between sheep when feet contaminate surfaces, e.g., pasture. Surfaces remain for a few minutes to days, depending on surface moisture levels. Susceptible in close contact with might be at risk becoming infected because they are likely step onto footprints, particularly...