Finger Movement Measurements in Arthritic Patients Using Wearable Sensor Enabled Gloves

J Condell, K Curran, T Quigley, P Gardiner, Michael McNeill, J. R. Winder, E Xie, Z Qi, J Connolly

Research output: Contribution to journalArticle

Abstract

This paper outlines the initial ideas and results surrounding the development of an accurate hand movement measurement tool. The system consists of a wearable glove measurement tool and a 3D interface. Real time data captured from each glove sensor will be displayed numerically and graphically. It will accurately quantify patients’ flexion, extension, adduction and abduction of finger and thumb joint movements in degrees, maximum and minimum joint range and compare joint range with normal ROM values to determine the degree of deformity of the hand and stiffness of moving finger joints. The system can simultaneously record angles from multiple fingers to detect previously unidentifiable movement patterns. It measures a shift in the position of fingers in relation to the direction of the thumb by measuring web space and recording the minimum, maximum and average values during a number of tests to analyse joint movement and identify areas for Joint Protection benefit. Data is recorded and used for future comparison analysis. It will be the first ambulatory system to detect joint stiffness at home and will help quantify and understand the symptom of ‘early morning stiffness’.
LanguageEnglish
Pages276-292
JournalInternational Journal of Human Factors Modelling and Simulation
Volume2
Issue number4
DOIs
Publication statusPublished - 2011

Fingerprint

Stiffness
ROM
Sensors
Wearable sensors

Cite this

Condell, J ; Curran, K ; Quigley, T ; Gardiner, P ; McNeill, Michael ; Winder, J. R. ; Xie, E ; Qi, Z ; Connolly, J. / Finger Movement Measurements in Arthritic Patients Using Wearable Sensor Enabled Gloves. In: International Journal of Human Factors Modelling and Simulation. 2011 ; Vol. 2, No. 4. pp. 276-292.
@article{ce588551e6a94449bb973350d3ab749b,
title = "Finger Movement Measurements in Arthritic Patients Using Wearable Sensor Enabled Gloves",
abstract = "This paper outlines the initial ideas and results surrounding the development of an accurate hand movement measurement tool. The system consists of a wearable glove measurement tool and a 3D interface. Real time data captured from each glove sensor will be displayed numerically and graphically. It will accurately quantify patients’ flexion, extension, adduction and abduction of finger and thumb joint movements in degrees, maximum and minimum joint range and compare joint range with normal ROM values to determine the degree of deformity of the hand and stiffness of moving finger joints. The system can simultaneously record angles from multiple fingers to detect previously unidentifiable movement patterns. It measures a shift in the position of fingers in relation to the direction of the thumb by measuring web space and recording the minimum, maximum and average values during a number of tests to analyse joint movement and identify areas for Joint Protection benefit. Data is recorded and used for future comparison analysis. It will be the first ambulatory system to detect joint stiffness at home and will help quantify and understand the symptom of ‘early morning stiffness’.",
author = "J Condell and K Curran and T Quigley and P Gardiner and Michael McNeill and Winder, {J. R.} and E Xie and Z Qi and J Connolly",
year = "2011",
doi = "10.1504/IJHFMS.2011.045000",
language = "English",
volume = "2",
pages = "276--292",
journal = "International Journal of Human Factors Modelling and Simulation",
issn = "1742-5549",
number = "4",

}

Finger Movement Measurements in Arthritic Patients Using Wearable Sensor Enabled Gloves. / Condell, J; Curran, K; Quigley, T; Gardiner, P; McNeill, Michael; Winder, J. R.; Xie, E; Qi, Z; Connolly, J.

In: International Journal of Human Factors Modelling and Simulation, Vol. 2, No. 4, 2011, p. 276-292.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Finger Movement Measurements in Arthritic Patients Using Wearable Sensor Enabled Gloves

AU - Condell, J

AU - Curran, K

AU - Quigley, T

AU - Gardiner, P

AU - McNeill, Michael

AU - Winder, J. R.

AU - Xie, E

AU - Qi, Z

AU - Connolly, J

PY - 2011

Y1 - 2011

N2 - This paper outlines the initial ideas and results surrounding the development of an accurate hand movement measurement tool. The system consists of a wearable glove measurement tool and a 3D interface. Real time data captured from each glove sensor will be displayed numerically and graphically. It will accurately quantify patients’ flexion, extension, adduction and abduction of finger and thumb joint movements in degrees, maximum and minimum joint range and compare joint range with normal ROM values to determine the degree of deformity of the hand and stiffness of moving finger joints. The system can simultaneously record angles from multiple fingers to detect previously unidentifiable movement patterns. It measures a shift in the position of fingers in relation to the direction of the thumb by measuring web space and recording the minimum, maximum and average values during a number of tests to analyse joint movement and identify areas for Joint Protection benefit. Data is recorded and used for future comparison analysis. It will be the first ambulatory system to detect joint stiffness at home and will help quantify and understand the symptom of ‘early morning stiffness’.

AB - This paper outlines the initial ideas and results surrounding the development of an accurate hand movement measurement tool. The system consists of a wearable glove measurement tool and a 3D interface. Real time data captured from each glove sensor will be displayed numerically and graphically. It will accurately quantify patients’ flexion, extension, adduction and abduction of finger and thumb joint movements in degrees, maximum and minimum joint range and compare joint range with normal ROM values to determine the degree of deformity of the hand and stiffness of moving finger joints. The system can simultaneously record angles from multiple fingers to detect previously unidentifiable movement patterns. It measures a shift in the position of fingers in relation to the direction of the thumb by measuring web space and recording the minimum, maximum and average values during a number of tests to analyse joint movement and identify areas for Joint Protection benefit. Data is recorded and used for future comparison analysis. It will be the first ambulatory system to detect joint stiffness at home and will help quantify and understand the symptom of ‘early morning stiffness’.

U2 - 10.1504/IJHFMS.2011.045000

DO - 10.1504/IJHFMS.2011.045000

M3 - Article

VL - 2

SP - 276

EP - 292

JO - International Journal of Human Factors Modelling and Simulation

T2 - International Journal of Human Factors Modelling and Simulation

JF - International Journal of Human Factors Modelling and Simulation

SN - 1742-5549

IS - 4

ER -