Are Currently Available Wearable Devices for Activity Tracking and Heart Rate Monitoring Accurate, Precise, and Medically Beneficial?

Healthc Inform Res

Department of Pharmaceutics, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt. ; Department of Pharmaceutical Sciences, Appalachian College of Pharmacy, Oakwood, VA, USA.

Published: October 2015

Objectives: The new wave of wireless technologies, fitness trackers, and body sensor devices can have great impact on healthcare systems and the quality of life. However, there have not been enough studies to prove the accuracy and precision of these trackers. The objective of this study was to evaluate the accuracy, precision, and overall performance of seventeen wearable devices currently available compared with direct observation of step counts and heart rate monitoring.

Methods: Each participant in this study used three accelerometers at a time, running the three corresponding applications of each tracker on an Android or iOS device simultaneously. Each participant was instructed to walk 200, 500, and 1,000 steps. Each set was repeated 40 times. Data was recorded after each trial, and the mean step count, standard deviation, accuracy, and precision were estimated for each tracker. Heart rate was measured by all trackers (if applicable), which support heart rate monitoring, and compared to a positive control, the Onyx Vantage 9590 professional clinical pulse oximeter.

Results: The accuracy of the tested products ranged between 79.8% and 99.1%, while the coefficient of variation (precision) ranged between 4% and 17.5%. MisFit Shine showed the highest accuracy and precision (along with Qualcomm Toq), while Samsung Gear 2 showed the lowest accuracy, and Jawbone UP showed the lowest precision. However, Xiaomi Mi band showed the best package compared to its price.

Conclusions: The accuracy and precision of the selected fitness trackers are reasonable and can indicate the average level of activity and thus average energy expenditure.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4659890PMC
http://dx.doi.org/10.4258/hir.2015.21.4.315DOI Listing

Publication Analysis

Top Keywords

accuracy precision
20
heart rate
16
wearable devices
8
rate monitoring
8
fitness trackers
8
accuracy
7
precision
7
currently wearable
4
devices activity
4
activity tracking
4

Similar Publications

Background: Patients with lung adenocarcinoma (LUAD) receiving drug treatment often have an unpredictive response and there is a lack of effective methods to predict treatment outcome for patients. Dendritic cells (DCs) play a significant role in the tumor microenvironment and the DCs-related gene signature may be used to predict treatment outcome. Here, we screened for DC-related genes to construct a prognostic signature to predict prognosis and response to immunotherapy in LUAD patients.

View Article and Find Full Text PDF

Assessment of using transfer learning with different classifiers in hypodontia diagnosis.

BMC Oral Health

January 2025

Pediatric Dentistry Department, Faculty of Dentistry, Başkent University, 06490, Ankara, Turkey.

Background: Hypodontia is the absence of one or more teeth in the primary or permanent dentition during development, and radiographic imaging is the most common method of diagnosis. However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. The aim of this study was to classify single premolar agenesis, multiple premolar agenesis, and without tooth agenesis using various artificial intelligence approaches.

View Article and Find Full Text PDF

Background: miRNAs (microRNAs) are endogenous RNAs with lengths of 18 to 24 nucleotides and play critical roles in gene regulation and disease progression. Although traditional wet-lab experiments provide direct evidence for miRNA-disease associations, they are often time-consuming and complicated to analyze by current bioinformatics tools. In recent years, machine learning (ML) and deep learning (DL) techniques are powerful tools to analyze large-scale biological data.

View Article and Find Full Text PDF

Evaluation of Inflammatory Activity of Extraocular Muscles in Thyroid Associated Orbitopathy by [Ga]DOTATATE PET/CT.

Mol Imaging Biol

January 2025

Department of Nuclear Medicine (PET Center), Key Laboratory of Biological Nanotechnology of National Health Commission, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410000, China.

Purpose: The accurate assessment of inflammatory activity of the extraocular muscles (EOMs) in thyroid associated ophthalmopathy (TAO) is crucial for formulating subsequent treatment strategies and prognostic judgments. This study aims to explore the efficacy of using [Ga]DOTATATE PET/CT to assess the inflammatory activity of EOMs in TAO patients.

Procedures: This study enrolled 22 TAO patients and 6 healthy volunteers, all of whom underwent orbital [Ga]DOTATATE PET/CT.

View Article and Find Full Text PDF

Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis.

Sci Rep

January 2025

Department of Basic Sciences, Faculty of Dentistry, Universidad de Antioquia U de A, Medellín, 050010, Colombia.

The NLRP3 inflammasome, regulated by TLR4, plays a pivotal role in periodontitis by mediating inflammatory cytokine release and bone loss induced by Porphyromonas gingivalis. Periodontal disease creates a hypoxic environment, favoring anaerobic bacteria survival and exacerbating inflammation. The NLRP3 inflammasome triggers pyroptosis, a programmed cell death that amplifies inflammation and tissue damage.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!