The Manumeter: A Wearable Device for Monitoring Daily Use of the Wrist and Fingers

被引:64
作者
Friedman, Nizan [1 ]
Rowe, Justin B. [1 ]
Reinkensmeyer, David J. [2 ]
Bachman, Mark [3 ]
机构
[1] Univ Calif Irvine, Dept Biomed Engn, Irvine, CA 92697 USA
[2] Univ Calif Irvine, Dept Mech & Aerosp Engn, Irvine, CA 92697 USA
[3] Univ Calif Irvine, Dept Elect Engn, Irvine, CA 92697 USA
基金
美国国家卫生研究院;
关键词
Accelerometers; arm monitoring; biomedical monitoring; hand monitoring; magnetic field measurement; magnetometers; patient monitoring; patient rehabilitation; sensors; wearable; UPPER-EXTREMITY; INSTRUMENTED GLOVE; PHYSICAL-ACTIVITY; HUMAN MOVEMENT; STEP ACTIVITY; ARM ACTIVITY; STROKE; ACCELEROMETER; VALIDITY; REHABILITATION;
D O I
10.1109/JBHI.2014.2329841
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nonobtrusive options for monitoring the wrist and hand movement are needed for stroke rehabilitation and other applications. This paper describes the "manumeter," a device that logs total angular distance travelled by wrist and finger joints using a magnetic ring worn on the index finger and two triaxial magnetometers mounted in a watch-like unit. We describe an approach to estimate the wrist and finger joint angles using a radial basis function network that maps differential magnetometer readings to joint angles. We tested this approach by comparing manumeter estimates of total angular excursion with those from a passive goniometric exoskeleton worn simultaneously as seven participants completed a set of 12 manual tasks at low-, medium-, and high-intensity conditions on a first testing day, 1-2 days later, and 6-8 days later, using only the original calibration from the first testing day. Manumeter estimates scaled proportionally to the intensity of hand activity. Estimates of angular excursion made with the manumeter were 92.5% +/- 28.4 (SD), 98.3% +/- 23.3, and 94.7% +/- 19.3 of the goniometric exoskeleton across the three testing days, respectively. Magnetic sensing of wrist and finger movement is nonobtrusive and can quantify the amount of use of the hand across days.
引用
收藏
页码:1804 / 1812
页数:9
相关论文
共 54 条
[1]  
Adamovich S.V., 2005, PRESENCE TELEOPERATO, V6, P229
[2]  
Ashbrook D, 2011, 29TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, P2043
[3]   Advances in wearable technology and applications in physical medicine and rehabilitation [J].
Bonato P. .
Journal of NeuroEngineering and Rehabilitation, 2 (1)
[4]   Microsensor integration into systems-on-chip [J].
Brand, Oliver .
PROCEEDINGS OF THE IEEE, 2006, 94 (06) :1160-1176
[5]  
Brown M., 2014, AM J PHYS MED REHABI, V93, P17
[6]  
Coleman KL, 1999, J REHABIL RES DEV, V36, P8
[7]   Different computer tasks affect the exposure of the upper extremity to biomechanical risk factors [J].
Dennerlein, JT ;
Johnson, PW .
ERGONOMICS, 2006, 49 (01) :45-61
[8]  
Dipietro L, 2003, J REHABIL RES DEV, V40, P179
[9]   International Randomized Clinical Trial, Stroke Inpatient Rehabilitation With Reinforcement of Walking Speed (SIRROWS), Improves Outcomes [J].
Dobkin, Bruce H. ;
Plummer-D'Amato, Prudence ;
Elashoff, Robert ;
Lee, Jihey .
NEUROREHABILITATION AND NEURAL REPAIR, 2010, 24 (03) :235-242
[10]   Development of a Fingertip Glove Equipped with Magnetic Tracking Sensors [J].
Fahn, Chin-Shyurng ;
Sun, Herman .
SENSORS, 2010, 10 (02) :1119-1140