PMID- 25868244
OWN - NLM
STAT- MEDLINE
DCOM- 20150717
LR  - 20181202
IS  - 1001-5515 (Print)
IS  - 1001-5515 (Linking)
VI  - 31
IP  - 6
DP  - 2014 Dec
TI  - [Experimental gait study based on the plantar pressure test for the young 
      people].
PG  - 1278-82, 1293
AB  - Based on force sensing resistor (FSR) sensor, we designed insoles for pressure 
      measurement, which were stable and reliable with a simple structure, and easy to 
      wear and to do outdoor experiments with. So the insoles could be used for gait 
      detection system. The hardware includes plantar pressure sensor array, signal 
      conditioning unit and main circuit unit. The software has the function of data 
      acquisition, signal processing, feature extraction and classification function. 
      We collected 27 groups of gait data of a healthy person based on this system to 
      analyze the data and study pressure distribution under various gait features, 
      i.e., walking on the flat ground, uphill, downhill, up the stairs, and down the 
      stairs. These five gait patterns for pattern recognition and classification by 
      K-nearest neighbors (KNN) recognition algorithm reached up to 90% accuracy. This 
      preliminarily verified the usefulness of the system.
FAU - Fang, Zheng
AU  - Fang Z
FAU - Zhang, Xingliang
AU  - Zhang X
FAU - Wang, Chao
AU  - Wang C
FAU - Gu, Xin
AU  - Gu X
FAU - Ma, Shenglin
AU  - Ma S
FAU - Wang, Lei
AU  - Wang L
FAU - Chen, Siyuan
AU  - Chen S
LA  - chi
PT  - Journal Article
PL  - China
TA  - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
JT  - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = 
      Shengwu yixue gongchengxue zazhi
JID - 9426398
SB  - IM
MH  - Algorithms
MH  - Biomechanical Phenomena
MH  - *Foot
MH  - *Gait
MH  - Humans
MH  - *Pressure
MH  - *Signal Processing, Computer-Assisted
MH  - Software
MH  - Walking
EDAT- 2015/04/15 06:00
MHDA- 2015/07/18 06:00
CRDT- 2015/04/15 06:00
PHST- 2015/04/15 06:00 [entrez]
PHST- 2015/04/15 06:00 [pubmed]
PHST- 2015/07/18 06:00 [medline]
PST - ppublish
SO  - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2014 Dec;31(6):1278-82, 1293.