Evidence map›Paper›PMID 28379922›Full record

ArticleAmerican journal of physical medicine & rehabilitation2017

Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury.

Luca Lonini, Timothy Reissman, Jose M Ochoa, Chaithanya K Mummidisetty, Konrad Kording, Arun Jayaraman

Abstract readEvaluation Study
In one paragraph

Article in American journal of physical medicine & rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Luca LoniniFrom the Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, Illinois (LL, CKM, AJ); Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois (LL, KK, AJ); Center for Bionic Medicine (LL, TR, JMO, CKM, AJ), and Sensory Motor Performance Program (KK), Rehabilitation Institute of Chicago, Chicago, Illinois; and Department of Mechanical Engineering, University of Dayton, Dayton, Ohio (TR).
Timothy Reissman
Jose M Ochoa
Chaithanya K Mummidisetty
Konrad Kording
Arun Jayaraman
Shirley Ryan AbilityLab · US

Funding

Understanding Real-Life Falls in Amputees using Mobile Phone TechnologyR01EB019406 · NIBIB · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI JAYARAMAN, ARUN · 2014 to 2017
$1.4M
NIBIB NIH HHS R01 EB019406
6 · The paper itself

Abstract

objectiveThe objective of rehabilitation after spinal cord injury is to enable successful function in everyday life and independence at home. Clinical tests can assess whether patients are able to execute functional movements but are limited in assessing such information at home. A prototype system is developed that detects stand-to-reach activities, a movement with important functional implications, at multiple locations within a mock kitchen.

designTen individuals with incomplete spinal cord injuries performed a sequence of standing and reaching tasks. The system monitored their movements by combining two sources of information: a triaxial accelerometer, placed on the subject's thigh, detected sitting or standing, and a network of radio frequency tags, wirelessly connected to a wrist-worn device, detected reaching at three locations. A threshold-based algorithm detected execution of the combined tasks and accuracy was measured by the number of correctly identified events.

resultsThe system was shown to have an average accuracy of 98% for inferring when individuals performed stand-to-reach activities at each tag location within the same room.

conclusionsThe combination of accelerometry and tags yielded accurate assessments of functional stand-to-reach activities within a home environment. Optimization of this technology could simplify patient compliance and allow clinicians to assess functional home activities.

Indexed as

Activities of Daily LivingWireless TechnologyAccelerometryAdultAgedAlgorithmsFemaleHumansMaleMiddle AgedMotor ActivityMovementPostureSpinal Cord Injuries

Identifiers

PMID28379922
PMCPMC5591060
OpenAlexW2604195478

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.