ArticleFrontiers in physiology2019
The Key Factors in Physical Activity Type Detection Using Real-Life Data: A Systematic Review.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Robust Assessment of Free-Living Physical Behaviors and Activity Intensity Using Dual-Wearable Multitask Learning: Development and Evaluation Study From the Multicenter WEALTH Project.JMIR mHealth and uHealth · 2026Article
- Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review.Interactive journal of medical research · 2026Review
- Visualising accelerometer-based 24/7 human movement behaviour data: an umbrella review and framework development from the LABDA project.Journal of activity, sedentary and sleep behaviors · 2025Review
- Charting the cascade of physical activities: implications for reducing sitting time and obesity in children.Journal of activity, sedentary and sleep behaviors · 2024Article
- Seven Things to Know About Exercise Classification With Inertial Sensing Wearables.IEEE journal of biomedical and health informatics · 2024Article
- Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks.Sensors (Basel, Switzerland) · 2024Article
- Article
- Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals.Sensors (Basel, Switzerland) · 2022Article
- Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke.Frontiers in physiology · 2022Article
- Advanced analytical methods to assess physical activity behavior using accelerometer time series: A scoping review.Scandinavian journal of medicine & science in sports · 2022Article
- The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study.Medicine and science in sports and exercise · 2021Article
- Assessing the Transferability of Physical Activity Type Detection Models: Influence of Age Group Is Underappreciated.Frontiers in physiology · 2021Article
- Advanced analytical methods to assess physical activity behaviour using accelerometer raw time series data: a protocol for a scoping review.Systematic reviews · 2020Article
- Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks.Nature communications · 2020Article
- Using Accelerometer and GPS Data for Real-Life Physical Activity Type Detection.Sensors (Basel, Switzerland) · 2020Article
- Optimization and Validation of an Adjustable Activity Classification Algorithm for Assessment of Physical Behavior in Elderly.Sensors (Basel, Switzerland) · 2019Article
- Toward assessing functional decline in mild cognitive impairment using wearable sensors and explainable machine learning.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Registered trials
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.