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1.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 115-120, 2022 07.
Artículo en Inglés | MEDLINE | ID: mdl-36085602

RESUMEN

Human pose estimation from monocular video is a rapidly advancing field that offers great promise to human movement science and rehabilitation. This potential is tempered by the smaller body of work ensuring the outputs are clinically meaningful and properly calibrated. Gait analysis, typically performed in a dedicated lab, produces precise measurements including kinematics and step timing. Using over 7000 monocular video from an instrumented gait analysis lab, we trained a neural network to map 3D joint trajectories and the height of individuals onto interpretable biomechanical outputs including gait cycle timing and sagittal plane joint kinematics and spatiotemporal trajectories. This task specific layer produces accurate estimates of the timing of foot contact and foot off events. After parsing the kinematic outputs into individual gait cycles, it also enables accurate cycle-by-cycle estimates of cadence, step time, double and single support time, walking speed and step length.


Asunto(s)
Análisis de la Marcha , Marcha , Pie , Humanos , Análisis Espacio-Temporal , Caminata
2.
IEEE Int Conf Rehabil Robot ; 2022: 1-6, 2022 07.
Artículo en Inglés | MEDLINE | ID: mdl-36173764

RESUMEN

Prosthetic knees available to individuals with transfemoral amputation seek to restore functional ability to the user. Passive prosthetic knees are lightweight but can restore only limited, dissipative ambulation activities whereas active knees can provide energy to restore additional ambulation activities such as stair climbing and standing up from a chair. Semi-active prosthetic devices aim to only power a subset of activities and use passive components and control when that power is not necessary. Here, we outline an ambulation control system for a lightweight Hybrid Knee prosthesis that is powered for climbing stairs and passive for other ambulation activities (level-ground walking, walking on an incline, and stair descent). We include preliminary offline and online intent recognition system results for one able-bodied user and one individual with a transfemoral amputation demonstrating low error rates in predicting between active and passive control.


Asunto(s)
Miembros Artificiales , Prótesis de la Rodilla , Amputación Quirúrgica , Humanos , Articulación de la Rodilla , Caminata
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