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Abstract
Abstract
With diverse areas of applications, wearable robotic exoskeleton devices have gained attention in the past decade. These devices cover one or more human limbs/joints and have been presented for rehabilitation, strength augmentation and interaction with virtual reality. This research is focused towards design, modeling and control of a novel series elastic actuation (SEA) based index finger exoskeleton with a targeted torque rendering capability of 0.3 Nm and a force control bandwidth of 3 Hz. The proposed design preserves the natural range of motion of the finger by incorporating five passive and two actively actuated joints and provides active control of metacarpophalangeal and proximal interphalangeal joints. Forward and inverse kinematics for both position and velocity have been solved using closed loop vector analysis by including human finger as an integral part of the system. For accurate force control, a cascaded control structure has been presented. Force controlled trajectories have been proposed to guide the finger along preprogrammed virtual paths. Such trajectories serve to gently guide the finger towards the correct rehabilitation protocol, thus acting as an effective replacement of intervention by a human therapist. Extensive computer simulations have been performed before fabricating a prototype and performing experimental validation. Results show accurate modeling and control of the proposed design.
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Dickmann T, Wilhelm NJ, Glowalla C, Haddadin S, van der Smagt P, Burgkart R. An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation. Front Robot AI 2021; 8:716451. [PMID: 34660703 PMCID: PMC8514640 DOI: 10.3389/frobt.2021.716451] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 09/13/2021] [Indexed: 11/13/2022] Open
Abstract
This paper presents a novel mechatronic exoskeleton architecture for finger rehabilitation. The system consists of an underactuated kinematic structure that enables the exoskeleton to act as an adaptive finger stimulator. The exoskeleton has sensors for motion detection and control. The proposed architecture offers three main advantages. First, the exoskeleton enables accurate quantification of subject-specific finger dynamics. The configuration of the exoskeleton can be fully reconstructed using measurements from three angular position sensors placed on the kinematic structure. In addition, the actuation force acting on the exoskeleton is recorded. Thus, the range of motion (ROM) and the force and torque trajectories of each finger joint can be determined. Second, the adaptive kinematic structure allows the patient to perform various functional tasks. The force control of the exoskeleton acts like a safeguard and limits the maximum possible joint torques during finger movement. Last, the system is compact, lightweight and does not require extensive peripherals. Due to its safety features, it is easy to use in the home. Applicability was tested in three healthy subjects.
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Affiliation(s)
- Thomas Dickmann
- Orthopaedic Research, Clinic for Orthopaedics and Sport Orthopaedics, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Nikolas J Wilhelm
- Orthopaedic Research, Clinic for Orthopaedics and Sport Orthopaedics, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,Chair of Robotics and System Intelligence, Munich School of Robotics and Machine Intelligence, Technical University of Munich, Munich, Germany
| | - Claudio Glowalla
- Orthopaedic Research, Clinic for Orthopaedics and Sport Orthopaedics, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Sami Haddadin
- Chair of Robotics and System Intelligence, Munich School of Robotics and Machine Intelligence, Technical University of Munich, Munich, Germany
| | - Patrick van der Smagt
- Machine Learning Research Lab, Volkswagen Group, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, Munich, Germany.,Department of Artificial Intelligence, Faculty of Informatics, Eötvös Lórand University, Budapest, Hungary
| | - Rainer Burgkart
- Orthopaedic Research, Clinic for Orthopaedics and Sport Orthopaedics, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
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Abstract
AbstractThis paper presents the design and experimentation of a variable stiffness index finger exoskeleton consisting of four-bar mechanisms actuated by a linear actuator. The lengths of the four-bar mechanism were optimized so that it can follow a recorded index fingertip trajectory. The mechanism has a fixed compliance at the coupler of the four-bar link and a variable compliance at the linear actuator that moves the four-bar. The skeletal shape of the coupler of the finger link has been optimized using FEM. The exoskeleton can apply a constant fingertip force irrespective of the position of the fingers.
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