Evidence map›Paper›PMID 29994684›Full record

ReviewIEEE reviews in biomedical engineering2019

Technology-Enabled Assessment of Functional Health.

Diane J Cook, Maureen Schmitter-Edgecombe, Linus Jonsson, Anne V Morant

Abstract readReview
In one paragraph

Review in IEEE reviews in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. Using continuous sensor data to formalize a model of in-home activity patterns.Journal of ambient intelligence and smart environments · 2020
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  19. Article
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

4 authors.

Diane J Cook
Maureen Schmitter-Edgecombe
Linus Jonsson
Anne V Morant

Funding

A clinician-in-the-loop smart home to support health monitoring and intervention for chronic conditions: Supplement to focus on Alzheimer's and/or other dementiasR01NR016732 · NINR · WASHINGTON STATE UNIVERSITY · PI Diane Joyce Cook, Roschelle Fritz · 2017 to 2026
$3.5M
Smart environment technology for longitudinal behavior analysis and interventionR01EB015853 · NIBIB · WASHINGTON STATE UNIVERSITY · PI COOK, DIANE JOYCE, SCHMITTER-EDGECOMBE, MAUREEN · 2012 to 2015
$1.5M
NIBIB NIH HHS R01 EB015853NINR NIH HHS R01 NR016732
6 · The paper itself

Abstract

The maturation of pervasive computing technologies has dramatically altered the face of healthcare. With the introduction of mobile devices, body area networks, and embedded computing systems, care providers can use continuous, ecologically valid information to overcome geographic and temporal barriers and thus provide more effective and timely health assessments. In this paper, we review recent technological developments that can be harnessed to replicate, enhance, or create methods for assessment of functional performance. Enabling technologies in wearable sensors, ambient sensors, mobile technologies, and virtual reality make it possible to quantify real-time functional performance and changes in cognitive health. These technologies, their uses for functional health assessment, and their challenges for adoption are presented in this paper.

Indexed as

Physical Functional PerformanceCell PhoneCognitionComputer SystemsDelivery of Health CareHumansTechnology Assessment, BiomedicalVirtual RealityWearable Electronic Devices

Identifiers

PMID29994684
PMCPMC11288404

What OpenQuestion holds

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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.