Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: The authors conducted a scoping review as a first step toward establishing harmonized (ie, consistent and compatible), empirically based best practices for validating step-counting wearable technologies.

Purpose: To catalog studies validating step-counting wearable technologies during treadmill ambulation.

Methods: The authors searched PubMed and SPORTDiscus in August 2019 to identify treadmill-based validation studies that employed the criterion of directly observed (including video recorded) steps and cataloged study sample characteristics, protocol details, and analytical procedures. Where reported, speed- and wear location-specific mean absolute percentage error (MAPE) values were tabulated. Weighted median MAPE values were calculated by wear location and a 0.2-m/s speed increment.

Results: Seventy-seven eligible studies were identified: most had samples averaging 54% (SD = 5%) female and 27 (5) years of age, treadmill protocols consisting of 3 to 5 bouts at speeds of 0.8 (0.1) to 1.6 (0.2) m/s, and reported measures of bias. Eleven studies provided MAPE values at treadmill speeds of 1.1 to 1.8 m/s; their weighted median MAPE values were 7% to 11% for wrist-worn, 1% to 4% for waist-worn, and ≤1% for thigh-worn devices.

Conclusions: Despite divergent study methodologies, the authors identified common practices and summarized MAPE values representing device step-count accuracy during treadmill walking. These initial empirical findings should be further refined to ultimately establish harmonized best practices for validating wearable technologies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7855895PMC
http://dx.doi.org/10.1123/jpah.2019-0205DOI Listing

Publication Analysis

Top Keywords

mape values
20
step-counting wearable
12
wearable technologies
12
treadmill-based validation
8
scoping review
8
best practices
8
practices validating
8
validating step-counting
8
weighted median
8
median mape
8

Similar Publications

Purpose: Neonatal mortality is a significant global health issue, particularly in low- and middle-income countries. This study aims to identify and understand the factors contributing to high neonatal mortality rates in the cities of Kerman and Bam, Iran, to develop effective strategies for improvement.

Design/methodology/approach: We employed systems dynamics to develop Causal Loop Diagrams that capture qualitative interactions among determinants of neonatal mortality.

View Article and Find Full Text PDF

Background And Objectives: Brain tissue oxygenation is usually inferred from arterial partial pressure of oxygen (paO), which is in turn often inferred from pulse oximetry measurements or other non-invasive proxies. Our aim was to evaluate the feasibility of continuous paO prediction in an intraoperative setting among neurosurgical patients undergoing craniotomies with modern machine learning methods.

Methods: Data from routine clinical care of lung-healthy neurosurgical patients were extracted from databases of the respective clinical systems and normalized.

View Article and Find Full Text PDF

Background: Wearable devices that measure energy expenditure are not designed for children. Therefore, we developed the PATCH (Platform for Accurate Tracking of Children's Health), an open-source device to measure children's energy expenditure using heartrate (HR) and acceleration. This study examines three models to estimate children's oxygen consumption using HR and acceleration compared to a criterion of indirect calorimetry.

View Article and Find Full Text PDF

Emerging lighting technology aims to enhance indoor light quality while conserving energy through control systems that integrate with natural light. In related technologies, it is crucial to identify quickly and accurately indoor light environments that are constantly changing due to natural light. Consequently, a large number of sensors must be installed, but installing multiple sensors would cause an increasing data processing load and inconvenience to users' activities.

View Article and Find Full Text PDF

The science and technology innovation board (STIB) is a critical initiative to support the high-quality development of technology innovation enterprises. Accurate valuation of STIB-listed enterprises is essential for optimizing resource allocation and enhancing capital market efficiency. However, existing valuation methods face significant challenges, including the presence of nonlinear data and low accuracy when assessing these enterprises.

View Article and Find Full Text PDF