DocumentCode :
141127
Title :
A non-ZUPT gait reconstruction method for ankle sensors
Author :
Xiaoxu Wu ; Yan Wang ; Pottie, Greg
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5884
Lastpage :
5887
Abstract :
Monitoring lower body motion, especially gait pattern, using low cost Inertial Measurement Units on a daily basis is becoming critically important for the diagnosis and rehabilitation of neurological diseases. The current state of the art algorithm is to double integrate motion acceleration and compensate cumulative errors by resetting velocity signals to zero at the stance-phase of each stride. However, this method is only applicable for foot-mounted sensors. For the medically more preferable ankle-mounted position, the assumption of this zero-velocity-update (ZUPT) method does not hold. In this paper, a new non-ZUPT method is proposed. We estimated the true velocity during stance-phase, and reset velocity to the estimated value instead of zero. 10 subjects were recruited for 40-meter-level flat floor walking. The stride length estimation error was reduced to 3.58% from 13.22% on average comparing to the conventional ZUPT method on an ankle-mounted sensor. Validity of this method is further supported by stairs walking of 4 more subjects.
Keywords :
biomedical telemetry; body sensor networks; diseases; error compensation; feature extraction; gait analysis; medical signal detection; medical signal processing; neurophysiology; parameter estimation; patient diagnosis; patient monitoring; patient rehabilitation; signal reconstruction; ankle-mounted sensor; cumulative error compensation; daily motion monitoring; distance 40 m; double motion acceleration integration; flat floor walking; foot-mounted sensors; gait pattern monitoring; low cost inertial measurement units; lower body motion monitoring; medically preferable ankle-mounted position; neurological disease diagnosis; neurological disease rehabilitation; non-ZUPT gait reconstruction; stair walking; stance-phase true velocity estimation; stride length estimation error reduction; stride stance-phase; velocity signal resetting; zero-velocity-update method; Acceleration; Equations; Estimation; Legged locomotion; Mathematical model; Sensors; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944967
Filename :
6944967
Link To Document :
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