ArticleSensors (Basel, Switzerland)2014
Optimal sensor placement for measuring physical activity with a 3D accelerometer.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Preliminary Efficacy of an Emotion Regulation Intervention on Physical Activity and Depressive and Anxious Symptoms in Individuals in Cardiac Rehabilitation.The Journal of cardiovascular nursingTrial
- Exploring the Dynamics of Canine-Assisted Interactions: A Wearable Approach to Understanding Interspecies Well-Being.Animals : an open access journal from MDPI · 2024Article
- Inertial measurement data from loose clothing worn on the lower body during everyday activities.Scientific data · 2023Article
- Hybrid Learning Models for IMU-Based HAR with Feature Analysis and Data Correction.Sensors (Basel, Switzerland) · 2023Article
- Closing the Wearable Gap: Foot-ankle kinematic modeling via deep learning models based on a smart sock wearable.Wearable technologies · 2023Article
- Grid Search for Lowest Root Mean Squared Error in Predicting Optimal Sensor Location in Protected Cultivation Systems.Frontiers in plant science · 2022Article
- Accelerometry-based physical activity, disability and quality of life before and after lumbar decompression surgery from a physiotherapeutic perspective: An observational cohort study.North American Spine Society journal · 2021Article
- Association between Self-Reported and Accelerometer-Based Estimates of Physical Activity in Portuguese Older Adults.Sensors (Basel, Switzerland) · 2021Article
- Objective Quantification of In-Hospital Patient Mobilization after Cardiac Surgery Using Accelerometers: Selection, Use, and Analysis.Sensors (Basel, Switzerland) · 2021Article
- The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings.Sensors (Basel, Switzerland) · 2021Article
- Determining Physical Activity Characteristics from Wristband Data for Use in Automated Insulin Delivery Systems.IEEE sensors journal · 2020Article
- An intervention study to assess potential effect and user experience of an mHealth intervention to reduce sedentary behaviour among older office workers.BMJ health & care informatics · 2019Article
- Accelerometry data in health research: challenges and opportunities.Statistics in biosciences · 2019Article
- Influencing walking behavior can increase the physical activity of patients with chronic pain hospitalized for multidisciplinary rehabilitation: an observational study.BMC musculoskeletal disorders · 2019Observational
- A review of accelerometer-derived physical activity in the idiopathic inflammatory myopathies.BMC rheumatology · 2019Article
- Preferred Placement and Usability of a Smart Textile System vs. Inertial Measurement Units for Activity Monitoring.Sensors (Basel, Switzerland) · 2018Article
- Physical Behavior Profiles in Chronic Cancer-Related Fatigue.International journal of behavioral medicine · 2018Article
- Trunk Motion System (TMS) Using Printed Body Worn Sensor (BWS) via Data Fusion Approach.Sensors (Basel, Switzerland) · 2017Article
- The Evaluation of Physical Stillness with Wearable Chest and Arm Accelerometer during Chan Ding Practice.Sensors (Basel, Switzerland) · 2016Article
- Sedentary Behaviour Profiling of Office Workers: A Sensitivity Analysis of Sedentary Cut-Points.Sensors (Basel, Switzerland) · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accelerometer-based activity monitors are popular for monitoring physical activity. In this study, we investigated optimal sensor placement for increasing the quality of studies that utilize accelerometer data to assess physical activity. We performed a two-staged study, focused on sensor location and type of mounting. Ten subjects walked at various walking speeds on a treadmill, performed a deskwork protocol, and walked on level ground, while simultaneously wearing five ProMove2 sensors with a snug fit on an elastic waist belt. We found that sensor location, type of activity, and their interaction-effect affected sensor output. The most lateral positions on the waist belt were the least sensitive for interference. The effect of mounting was explored, by making two subjects repeat the experimental protocol with sensors more loosely fitted to the elastic belt. The loose fit resulted in lower sensor output, except for the deskwork protocol, where output was higher. In order to increase the reliability and to reduce the variability of sensor output, researchers should place activity sensors on the most lateral position of a participant's waist belt. If the sensor hampers free movement, it may be positioned slightly more forward on the belt. Finally, sensors should be fitted tightly to the body.
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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.