Article

Generalizability and Performance of Methods to Detect Non-Wear with Free-Living Accelerometer Recordings

2022-07-01

Abstract excerpt

Wearable physical activity sensors are widely used in research and practice as they provide objective measures of human behavior at a low cost. An important challenge for accurate assessment in free-living is the detection non-wear. Traditionally, heuristic algorithms that rely on specific interval lengths have been employed to detect non-wear time; however, machine learned models are emerging. We explore the pote...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bce28e8f-f967-5850-b4d1-0cb633f39f61
DOI: 10.21203/rs.3.rs-1743048/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generalizability and Performance of Methods to Detect Non-Wear with Free-Living Accelerometer RecordingsDOI 10.21203/rs.3.rs-1743048/v1Read

Validation and optimisation of wearable accelerometer data pre-processing for digital measure implementation and developmentSemantic proximity Read

Assessing activity energy expenditure from body-worn sensors during free-livingSemantic proximity Read

Quantifying the Uncertainty of Human Activity Recognition Using a Bayesian Machine Learning Method: A Prediction StudySemantic proximity Read

Segmenting accelerometer data from daily life with unsupervised machine learningSemantic proximity Read

11 million days of longitudinal wearable data reveal novel future health insightsSemantic proximity Read

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.Semantic proximity Read

Defining the Habitome: Phenotypes of Routine and Their Relationship to Health OutcomesSemantic proximity Read

Defining the Habitome: Phenotypes of Routine and Their Relationship to Health OutcomesSemantic proximity Read

Walking bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower BackSemantic proximity Read

A semi-quantitative method to denote generic physical activity phenotypes from long-term accelerometer data--the ATLAS index.Semantic proximity Read

Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-worn Sensor: Performance Characterization StudySemantic proximity Read

Quantification of Acceleration as Activity Counts in ActiGraph WearablesSemantic proximity Read