Title :
The Manumeter: A non-obtrusive wearable device for monitoring spontaneous use of the wrist and fingers
Author :
Rowe, Justin B. ; Friedman, Nizan ; Bachman, Mark ; Reinkensmeyer, David J.
Author_Institution :
Dept. of Biomed. Eng., Univ. of California, Irvine, Irvine, CA, USA
Abstract :
This paper describes the design and pilot testing of a novel device for unobtrusive monitoring of wrist and hand movement through a sensorized watch and a magnetic ring system called the manumeter. The device senses the magnetic field of the ring through two triaxial magnetometers and records the data to onboard memory which can be analyzed later by connecting the watch unit to a computer. Wrist and finger joint angles are estimated using a radial basis function network. We compared joint angle estimates collected using the manumeter to direct measurements taken using a passive exoskeleton and found that after a 60 minute trial, 95% of the radial/ulnar deviation, wrist flexion/extension and finger flexion/extension estimates were within 2.4, 5.8, and 4.7 degrees of their actual values respectively. The device measured angular distance traveled for these three joints within 10.4%, 4.5%, and 14.3 % of their actual values. The manumeter has potential to improve monitoring of real world use of the hand after stroke and in other applications.
Keywords :
magnetometers; medical computing; patient monitoring; patient rehabilitation; radial basis function networks; wearable computers; angular distance; finger flexion-extension; fingers; magnetic ring system; manumeter; nonobtrusive wearable device; onboard memory; passive exoskeleton; pilot testing; radial basis function network; radial-ulnar deviation; ring magnetic field; sensorized watch; spontaneous use monitoring; stroke; triaxial magnetometers; unobtrusive monitoring; wrist; wrist flexion-extension; Exoskeletons; Joints; Magnetic fields; Magnetometers; Thumb; Wrist; arm sensing rehabilitation; domicile movement monitoring; hand sensing; movement monitoring; stroke; untethered monitoring;
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6022-7
DOI :
10.1109/ICORR.2013.6650397