TY - GEN
T1 - Quantification of temporal parameters for tripedalism
AU - Yozu, Arito
AU - Owaki, Dai
AU - Hamada, Masashi
AU - Sasaki, Takuya
AU - An, Qi
AU - Funato, Tetsuro
AU - Haga, Nobuhiko
N1 - Funding Information:
This work was supported in part by the Japan Society for the Promotion of Science KAKENHI (# 15K01361).
PY - 2017
Y1 - 2017
N2 - Bipedalism is one of the distinctive features of humans. However, humans in certain conditions use tripedalism for their locomotion. Patients who cannot bear their weight on their own legs or patients with balance disorders often use a cane. Temporal parameters have been defined for bipedalism, while they have not been defined for tripedalism. Therefore, in clinical rehabilitation, evaluation of patients’ gait using a cane is still very much a qualitative issue. In this study, we propose how we can define the temporal parameters for tripedalism. We calculated six quantitative numbers: (1) gait cycle of leg 1, (2) lag of foot strike between leg 1 and leg 2, (3) lag of foot strike between leg 1 and leg 3, (4) stance phase of leg 1, (5) stance phase of leg 2, and (6) stance phase of leg 3. With a set of these six elements, the foot strike and foot-off pattern of the three legs is uniquely determined. Because these elements are measurable quantitatively, we are able to express the tripedal gait in a quantitative manner with this number set. We call this number set “gait matrix”. The application of this gait matrix may be useful for evaluating patients’ gait using a cane in rehabilitation.
AB - Bipedalism is one of the distinctive features of humans. However, humans in certain conditions use tripedalism for their locomotion. Patients who cannot bear their weight on their own legs or patients with balance disorders often use a cane. Temporal parameters have been defined for bipedalism, while they have not been defined for tripedalism. Therefore, in clinical rehabilitation, evaluation of patients’ gait using a cane is still very much a qualitative issue. In this study, we propose how we can define the temporal parameters for tripedalism. We calculated six quantitative numbers: (1) gait cycle of leg 1, (2) lag of foot strike between leg 1 and leg 2, (3) lag of foot strike between leg 1 and leg 3, (4) stance phase of leg 1, (5) stance phase of leg 2, and (6) stance phase of leg 3. With a set of these six elements, the foot strike and foot-off pattern of the three legs is uniquely determined. Because these elements are measurable quantitatively, we are able to express the tripedal gait in a quantitative manner with this number set. We call this number set “gait matrix”. The application of this gait matrix may be useful for evaluating patients’ gait using a cane in rehabilitation.
UR - http://www.scopus.com/inward/record.url?scp=85013072397&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013072397&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-48036-7_3
DO - 10.1007/978-3-319-48036-7_3
M3 - Conference contribution
AN - SCOPUS:85013072397
SN - 9783319480350
T3 - Advances in Intelligent Systems and Computing
SP - 31
EP - 37
BT - Intelligent Autonomous Systems 14 - Proceedings of the 14th International Conference IAS-14
A2 - Chen, Weidong
A2 - Wang, Hesheng
A2 - Hosoda, Koh
A2 - Menegatti, Emanuele
A2 - Shimizu, Masahiro
PB - Springer Verlag
T2 - 14th International Conference on Intelligent Autonomous Systems, IAS 2016
Y2 - 3 July 2016 through 7 July 2016
ER -