ALICE: Conceptual development of a lower limb exoskeleton robot driven by an on-board musculoskeletal simulator
Fecha
2020-01
Autores
Cardona, Manuel
García Cena, Cecilia E.
Serrano, Fernando
Saltaren, Roque
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Resumen
In this article, we present the conceptual development of a robotics platform, called ALICE (Assistive Lower Limb Controlled Exoskeleton), for kinetic and kinematic gait characterization. The ALICE platform includes a robotics wearable exoskeleton and an on-board muscle driven simulator to estimate the user’s kinetic parameters. Background: Even when the kinematics patterns of the human gait are well studied and reported in the literature, there exists a considerable intra-subject variability in the kinetics of the movements. ALICE aims to be an advanced mechanical sensor that allows us to compute real-time information of both kinetic and kinematic data, opening up a new personalized rehabilitation concept. Methodology: We developed a full muscle driven simulator in an open source environment and validated it with real gait data obtained from patients diagnosed with multiple sclerosis. After that, we designed, modeled, and controlled a 6 DoF lower limb exoskeleton with inertial measurement units and a position/velocity sensor in each actuator. Significance: This novel concept aims to become a tool for improving the diagnosis of pathological gait and to design personalized robotics rehabilitation therapies. Conclusion: ALICE is the first robotics platform automatically adapted to the kinetic and kinematic gait parameters of each patient.
Descripción
Palabras clave
Adaptive Control , Exoskeleton Robot , Muscle Driven Simulator , Quaternions , Rehabilitation
Citación
Cardona, M., García Cena, C. E., Serrano, F., y Saltaren, R. (2020). ALICE: Conceptual Development of a Lower Limb Exoskeleton Robot Driven by an On-Board Musculoskeletal Simulator. Sensors, 20(3), 789. https://doi.org/10.3390/s20030789