Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning. (Record no. 3551)

MARC details
000 -LEADER
fixed length control field 04012nam a22006497a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170823s20172017 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1052-3057
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 28781056
245 ## - TITLE STATEMENT
Title Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.
251 ## - Source
Source Journal of Stroke & Cerebrovascular Diseases. 26(12):2880-2887, 2017 Dec.
252 ## - Abbreviated Source
Abbreviated source J STROKE CEREBROVASC DIS. 26(12):2880-2887, 2017 Dec.
252 ## - Abbreviated Source
Former abbreviated source J STROKE CEREBROVASC DIS. , 2017 Aug 04
253 ## - Journal Name
Journal name Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2017
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer FY2018
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Date added to catalog 2017-08-23
268 ## - Previous citation
-- Journal of Stroke & Cerebrovascular Diseases. , 2017 Aug 04
520 ## - SUMMARY, ETC.
Abstract BACKGROUND AND PURPOSE: Trials of restorative therapies after stroke and clinical rehabilitation require relevant and objective efficacy end points; real-world upper extremity (UE) functional use is an attractive candidate. We present a novel, inexpensive, and feasible method for separating UE functional use from nonfunctional movement after stroke using a single wrist-worn accelerometer.
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Abstract CONCLUSIONS: Our method shows promise for inexpensive and objective quantification of functional UE use in hemiparesis, and for assessing the impact of UE treatments. Training a classifier on raw sensor data is feasible, and determination of whether patients functionally use their UE can thus be done remotely. For the restorative treatment trial setting, an intrasubject test/train approach would be especially accurate. This method presents a potentially precise, cost-effective, and objective measurement of UE use outside the clinical or laboratory environment. Copyright (c) 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.
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Abstract METHODS: Ten controls and 10 individuals with stroke performed a series of minimally structured activities while simultaneously being videotaped and wearing a sensor on each wrist that captured the linear acceleration and angular velocity of their UEs. Video data provided ground truth to annotate sensor data as functional or nonfunctional limb use. Using the annotated sensor data, we trained a machine learning tool, a Random Forest model. We then assessed the accuracy of that classification.
520 ## - SUMMARY, ETC.
Abstract RESULTS: In intrasubject test trials, our method correctly classified sensor data with an average of 94.80% in controls and 88.38% in stroke subjects. In leave-one-out intersubject testing and training, correct classification averaged 91.53% for controls and 70.18% in stroke subjects.
546 ## - LANGUAGE NOTE
Language note English
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Topical term or geographic name entry element *Actigraphy/is [Instrumentation]
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Topical term or geographic name entry element *Activities of Daily Living
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Topical term or geographic name entry element *Fitness Trackers
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Topical term or geographic name entry element *Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element *Movement
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element *Signal Processing, Computer-Assisted
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element *Stroke/di [Diagnosis]
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Topical term or geographic name entry element *Upper Extremity/ir [Innervation]
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Acceleration
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Adult
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Topical term or geographic name entry element Aged
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Topical term or geographic name entry element Biomechanical Phenomena
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Topical term or geographic name entry element Case-Control Studies
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Topical term or geographic name entry element Equipment Design
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Topical term or geographic name entry element Feasibility Studies
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Female
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Health Status
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Topical term or geographic name entry element Humans
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Male
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Middle Aged
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Predictive Value of Tests
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Reproducibility of Results
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stroke/pp [Physiopathology]
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Time Factors
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Topical term or geographic name entry element Video Recording
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar National Rehabilitation Network
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Barth, Jessica
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Local Authors Dromerick, Alexander W
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Local Authors Lum, Peter
790 ## - Authors
All authors Barth J, Bochniewicz EM, Dromerick AW, Emmer G, Lum P, McLeod A
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2017.07.004">https://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2017.07.004</a>
Public note https://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2017.07.004
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 08/23/2017   28781056 28781056 08/23/2017 08/23/2017 Journal Article

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