Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures

Ozkan Celik, Marcia K. O'Malley, Corwin Boake, Harvey S. Levin, Nuray Yozbatiran, Timothy Reistetter

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

In this paper, we analyze the correlations between four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) and four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed), used to assess motor recovery. Data were gathered as part of a hybrid robotic and traditional upper extremity rehabilitation program for nine stroke patients. Smoothness of movement and trajectory error, temporally and spatially normalized measures of movement quality defined for point-to-point movements, were found to have significant moderate to strong correlations with all four of the clinical measures. The strong correlations suggest that smoothness of movement and trajectory error may be used to compare outcomes of different rehabilitation protocols and devices effectively, provide improved resolution for tracking patient progress compared to only pre- and post-treatment measurements, enable accurate adaptation of therapy based on patient progress, and deliver immediate and useful feedback to the patient and therapist.

Original languageEnglish (US)
Article number5446376
Pages (from-to)433-444
Number of pages12
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume18
Issue number4
DOIs
StatePublished - Aug 2010
Externally publishedYes

Fingerprint

Trajectories
Robotics
Robots
Upper Extremity
Patient rehabilitation
Patient Identification Systems
Health Services Research
End effectors
Motor Activity
Therapeutics
Rehabilitation
Hand
Stroke
Feedback
Recovery
Equipment and Supplies

Keywords

  • Haptic feedback
  • motor function recovery
  • movement intermittency
  • rehabilitation robotics
  • stroke measures
  • therapeutic robots

ASJC Scopus subject areas

  • Neuroscience(all)
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine(all)

Cite this

Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures. / Celik, Ozkan; O'Malley, Marcia K.; Boake, Corwin; Levin, Harvey S.; Yozbatiran, Nuray; Reistetter, Timothy.

In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 18, No. 4, 5446376, 08.2010, p. 433-444.

Research output: Contribution to journalArticle

Celik, Ozkan ; O'Malley, Marcia K. ; Boake, Corwin ; Levin, Harvey S. ; Yozbatiran, Nuray ; Reistetter, Timothy. / Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures. In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2010 ; Vol. 18, No. 4. pp. 433-444.
@article{ad07bd7d584349bba37314b9639e7c93,
title = "Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures",
abstract = "In this paper, we analyze the correlations between four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) and four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed), used to assess motor recovery. Data were gathered as part of a hybrid robotic and traditional upper extremity rehabilitation program for nine stroke patients. Smoothness of movement and trajectory error, temporally and spatially normalized measures of movement quality defined for point-to-point movements, were found to have significant moderate to strong correlations with all four of the clinical measures. The strong correlations suggest that smoothness of movement and trajectory error may be used to compare outcomes of different rehabilitation protocols and devices effectively, provide improved resolution for tracking patient progress compared to only pre- and post-treatment measurements, enable accurate adaptation of therapy based on patient progress, and deliver immediate and useful feedback to the patient and therapist.",
keywords = "Haptic feedback, motor function recovery, movement intermittency, rehabilitation robotics, stroke measures, therapeutic robots",
author = "Ozkan Celik and O'Malley, {Marcia K.} and Corwin Boake and Levin, {Harvey S.} and Nuray Yozbatiran and Timothy Reistetter",
year = "2010",
month = "8",
doi = "10.1109/TNSRE.2010.2047600",
language = "English (US)",
volume = "18",
pages = "433--444",
journal = "IEEE Transactions on Neural Systems and Rehabilitation Engineering",
issn = "1534-4320",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

TY - JOUR

T1 - Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures

AU - Celik, Ozkan

AU - O'Malley, Marcia K.

AU - Boake, Corwin

AU - Levin, Harvey S.

AU - Yozbatiran, Nuray

AU - Reistetter, Timothy

PY - 2010/8

Y1 - 2010/8

N2 - In this paper, we analyze the correlations between four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) and four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed), used to assess motor recovery. Data were gathered as part of a hybrid robotic and traditional upper extremity rehabilitation program for nine stroke patients. Smoothness of movement and trajectory error, temporally and spatially normalized measures of movement quality defined for point-to-point movements, were found to have significant moderate to strong correlations with all four of the clinical measures. The strong correlations suggest that smoothness of movement and trajectory error may be used to compare outcomes of different rehabilitation protocols and devices effectively, provide improved resolution for tracking patient progress compared to only pre- and post-treatment measurements, enable accurate adaptation of therapy based on patient progress, and deliver immediate and useful feedback to the patient and therapist.

AB - In this paper, we analyze the correlations between four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) and four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed), used to assess motor recovery. Data were gathered as part of a hybrid robotic and traditional upper extremity rehabilitation program for nine stroke patients. Smoothness of movement and trajectory error, temporally and spatially normalized measures of movement quality defined for point-to-point movements, were found to have significant moderate to strong correlations with all four of the clinical measures. The strong correlations suggest that smoothness of movement and trajectory error may be used to compare outcomes of different rehabilitation protocols and devices effectively, provide improved resolution for tracking patient progress compared to only pre- and post-treatment measurements, enable accurate adaptation of therapy based on patient progress, and deliver immediate and useful feedback to the patient and therapist.

KW - Haptic feedback

KW - motor function recovery

KW - movement intermittency

KW - rehabilitation robotics

KW - stroke measures

KW - therapeutic robots

UR - http://www.scopus.com/inward/record.url?scp=77955648377&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77955648377&partnerID=8YFLogxK

U2 - 10.1109/TNSRE.2010.2047600

DO - 10.1109/TNSRE.2010.2047600

M3 - Article

C2 - 20388607

AN - SCOPUS:77955648377

VL - 18

SP - 433

EP - 444

JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering

JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering

SN - 1534-4320

IS - 4

M1 - 5446376

ER -