Evidence map›Paper›PMID 30414474›Full record

ArticleJournal of biomedical informatics2019

A smartwatch-based framework for real-time and online assessment and mobility monitoring.

Matin Kheirkhahan, Sanjay Nair, Anis Davoudi, Parisa Rashidi, Amal A Wanigatunga, Duane B Corbett, Tonatiuh Mendoza, Todd M Manini, Sanjay Ranka

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Smartphone-Based Hand Function Assessment: Systematic Review.Journal of medical Internet research · 2024
    Pooled it
  2. Pooled it
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  17. Feasibility of a Smartwatch Platform to Assess Ecological Mobility: Real-Time Online Assessment and Mobility Monitor.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Matin KheirkhahanUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States. Electronic address: matin@cise.ufl.edu.
Sanjay NairUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Anis DavoudiUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Parisa RashidiUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Amal A WanigatungaUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Duane B CorbettUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Tonatiuh MendozaUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Todd M ManiniUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.
Sanjay RankaUniversity of Florida, Gainesville, FL 32611, United States; Johns Hopkins University, Baltimore, MD 21205, United States.

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Metabolic Costs of Daily Activities in Older AdultsR01AG042525 · NIA · UNIVERSITY OF FLORIDA · PI MANINI, TODD · 2013 to 2017
$1.6M
Wearable Technology Infrastructure to Enhance Capacity for Real-Time, Online Assessment and Mobility (ROAMM) of Intervening Health Events in Older AdultsR21AG059207 · NIA · UNIVERSITY OF FLORIDA · PI MANINI, TODD, RANKA, SANJAY · 2019 to 2020
$417k
NIA NIH HHS P30 AG028740NIA NIH HHS R01 AG042525NIA NIH HHS R21 AG059207NIA NIH HHS T32 AG000247
6 · The paper itself

Abstract

Smartphone and smartwatch technology is changing the transmission and monitoring landscape for patients and research participants to communicate their healthcare information in real time. Flexible, bidirectional and real-time control of communication allows development of a rich set of healthcare applications that can provide interactivity with the participant and adapt dynamically to their changing environment. Additionally, smartwatches have a variety of sensors suitable for collecting physical activity and location data. The combination of all these features makes it possible to transmit the collected data to a remote server, and thus, to monitor physical activity and potentially social activity in real time. As smartwatches exhibit high user acceptability and increasing popularity, they are ideal devices for monitoring activities for extended periods of time to investigate the physical activity patterns in free-living condition and their relationship with the seemingly random occurring illnesses, which have remained a challenge in the current literature. Therefore, the purpose of this study was to develop a smartwatch-based framework for real-time and online assessment and mobility monitoring (ROAMM). The proposed ROAMM framework will include a smartwatch application and server. The smartwatch application will be used to collect and preprocess data. The server will be used to store and retrieve data, remote monitor, and for other administrative purposes. With the integration of sensor-based and user-reported data collection, the ROAMM framework allows for data visualization and summary statistics in real-time.

Indexed as

ExerciseMobile ApplicationsSmartphoneAccelerometryHumansMonitoring, PhysiologicAccelerometerFramework designPhysical activitySmart technologyWearablesWrist

Identifiers

PMID30414474
PMCPMC6459185

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.