ArticlePloS one2016
Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.
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Who cites it
74 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- How Active Are Women in the First Year of Motherhood? A Systematic Review of Device-Measured Physical Activity.Scandinavian journal of medicine & science in sports · 2025Pooled it
- Examining the Impact of a Codeveloped Multicomponent Mobile eHealth Lifestyle Intervention on Physical Activity and Its Association With Gestational Weight Gain in Underserved Women: A Statewide Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- LIFE-Moms: effects of multicomponent lifestyle randomized control trial on physical activity during pregnancy in women with overweight and obesity.The international journal of behavioral nutrition and physical activity · 2025Trial
- A Christmas themed physical activity intervention to increase participation in physical activity during Advent: pilot randomised controlled trial.BMJ (Clinical research ed.) · 2022Trial
- A pragmatic randomised controlled trial of tailored pulmonary rehabilitation in participants with difficult-to-control asthma and elevated body mass index.BMC pulmonary medicine · 2022Trial
- Intensity-specific physical activity and mortality in 147,414 adults: a pooled accelerometer analysis.The international journal of behavioral nutrition and physical activity · 2026Article
- Validation of the General Practice Physical Activity Questionnaire after severe COVID-19.ERJ open research · 2026Article
- Characterization of physical health variables across fall risk appraisal groups: a cross-sectional study.BMC geriatrics · 2026Article
- Sleep Stage Classification During CPAP Therapy from CPAP-Airflow and Wearable Fingertip Signals.Sensors (Basel, Switzerland) · 2026Article
- Body placement of inertial measurement units differentially affects physical activity assessment accuracy in drug-naïve Parkinson's disease.Scientific reports · 2026Article
- Use of sensing technologies to assess sleep quality and physical activity levels in nursing home residents with dementia taking nightly psychotropic drugs for sleep disturbance: a cross-sectional study.Frontiers in aging · 2026Article
- Use of Digital Biomarkers from Sensing Technologies to Explore the Relationship Between Daytime Activity Levels and Sleep Quality in Nursing Home Residents with Dementia: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2025Article
- Objective risk and protective factors for momentary and daily loneliness:using digital phenotyping and temporal analysis.Npj mental health research · 2025Article
- Article
- Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy.NPJ digital medicine · 2025Article
- Multimodal Factors Affect Longitudinal Changes in Dynamic Balance in Community-Dwelling Older Adults.Clinical interventions in aging · 2025Article
- Using Ecological Momentary Assessment to Examine Predictors of Motivation for Physical Activity in Older Adults.Research in health and medicine · 2025Article
- Comparability of accelerometry outcomes across popular metrics and widespread sensor positions.PloS one · 2025Article
- Performance evaluation of algorithms to estimate daily sedentary time using wrist-worn sensors in free-living adults.Journal for the measurement of physical behaviour · 2025Article
- The Ability of Monitor-Independent Movement Summary Units, Euclidean Norm Minus One, and Mean Amplitude Deviation to Harmonize Accelerometry Data Across Research-Grade and Consumer Wearable Devices During Simulated Free-Living Physical Activity in Children.Journal for the measurement of physical behaviour · 2025Article
14 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectives(1) To develop and internally-validate Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) thresholds for separating sedentary behaviours from common light-intensity physical activities using raw acceleration data collected from both hip- and wrist-worn tri-axial accelerometers; and (2) to compare and evaluate the performances between the ENMO and MAD metrics.
methodsThirty-three adults [mean age (standard deviation (SD)) = 27.4 (5.9) years; mean BMI (SD) = 23.9 (3.7) kg/m2; 20 females (60.6%)] wore four accelerometers; an ActiGraph GT3X+ and a GENEActiv on the right hip; and an ActiGraph GT3X+ and a GENEActiv on the non-dominant wrist. Under laboratory-conditions, participants performed 16 different activities (11 sedentary behaviours and 5 light-intensity physical activities) for 5 minutes each. ENMO and MAD were computed from the raw acceleration data, and logistic regression and receiver-operating-characteristic (ROC) analyses were implemented to derive thresholds for activity discrimination. Areas under ROC curves (AUROC) were calculated to summarise performances and thresholds were assessed via executing leave-one-out-cross-validations.
resultsFor both hip and wrist monitor placements, in comparison to the ActiGraph GT3X+ monitors, the ENMO and MAD values derived from the GENEActiv devices were observed to be slightly higher, particularly for the lower-intensity activities. Monitor-specific hip and wrist ENMO and MAD thresholds showed excellent ability for separating sedentary behaviours from motion-based light-intensity physical activities (in general, AUROCs >0.95), with validation indicating robustness. However, poor classification was experienced when attempting to isolate standing still from sedentary behaviours (in general, AUROCs <0.65). The ENMO and MAD metrics tended to perform similarly across activities and accelerometer brands.
conclusionsResearchers can utilise these robust monitor-specific hip and wrist ENMO and MAD thresholds, in order to accurately separate sedentary behaviours from common motion-based light-intensity physical activities. However, caution should be taken if isolating sedentary behaviours from standing is of particular interest.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.