Evidence map›Paper›PMID 30269807›Full record

ReviewPM & R : the journal of injury, function, and rehabilitation2018

Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances.

Franchino Porciuncula, Anna Virginia Roto, Deepak Kumar, Irene Davis, Serge Roy, Conor J Walsh, Louis N Awad

Erratum issuedAbstract readReview
In one paragraph

Review in PM & R : the journal of injury, function, and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 145 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 10 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

145 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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85 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Franchino PorciunculaPaulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA(∗).
Anna Virginia RotoCollege of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA(†).
Deepak KumarCollege of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA(‡).
Irene DavisDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA(§).
Serge RoyCollege of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA(¶).
Conor J WalshPaulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA(#).
Louis N AwadCollege of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA; Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA(∗∗). Electronic address: louawad@bu.edu.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
Development of a Modular Soft Exosuit Platform Suitable for Community-Based NeurorehabilitationR01HD088619 · NICHD · HARVARD UNIVERSITY · PI WALSH, CONOR · 2016 to 2021
$3.9M
Non-invasive System for Identifying Motoneuron BehaviorR44NS077526 · NINDS · ALTEC, INC. · PI DE LUCA, GIANLUCA · 2014 to 2020
$3.5M
A Software Platform for Sensor-based Movement Disorder RecognitionR44NS083098 · NINDS · ALTEC, INC. · PI DE LUCA, GIANLUCA · 2015 to 2017
$1.7M
Mind Your Walk Intervention for Community-Based Management of Knee OA: A Feasibility StudyK01AR069720 · NIAMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KUMAR, DEEPAK · 2017 to 2021
$676k
NCATS NIH HHS KL2 TR001411NCATS NIH HHS UL1 TR001430NIAMS NIH HHS K01 AR069720NICHD NIH HHS R01 HD088619NINDS NIH HHS R44 NS077526NINDS NIH HHS R44 NS083098
6 · The paper itself

Abstract

Recent technologic advancements have enabled the creation of portable, low-cost, and unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation. The application of wearable sensors to track movement has emerged as a promising paradigm to enhance the care provided to patients with neurologic or musculoskeletal conditions. These sensors enable quantification of motor behavior across disparate patient populations and emerging research shows their potential for identifying motor biomarkers, differentiating between restitution and compensation motor recovery mechanisms, remote monitoring, telerehabilitation, and robotics. Moreover, the big data recorded across these applications serve as a pathway to personalized and precision medicine. This article presents state-of-the-art and next-generation wearable movement sensors, ranging from inertial measurement units to soft sensors. An overview of clinical applications is presented across a wide spectrum of conditions that have potential to benefit from wearable sensors, including stroke, movement disorders, knee osteoarthritis, and running injuries. Complementary applications enabled by next-generation sensors that will enable point-of-care monitoring of neural activity and muscle dynamics during movement also are discussed.

Indexed as

Wearable Electronic DevicesEquipment DesignHumansKinesthesisMovementMovement Disorders

Identifiers

PMID30269807
PMCPMC6700726

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.