SCRIPT passive orthosis: design of interactive hand and wrist exoskeleton for rehabilitation at home after stroke

Ates, Serdar; Haarman, Claudia Josephina Wilhelmina; Stienen, Arno H. A.

doi:10.1007/s10514-016-9589-6

Cited by 88 publications

(64 citation statements)

References 31 publications

(56 reference statements)

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“…The SCRIPT passive orthosis is equipped with multimodal sensors to estimate joint rotations and torques. These sensing capabilities enable interactive rehabilitation games for users [24], [25].…”

Section: Related Workmentioning

confidence: 99%

Multimodal Sensing and Interaction for a Robotic Hand Orthosis

Park

Meeker

Weber

et al. 2019

IEEE Robot. Autom. Lett.

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Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstationlike counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such controls must be effective, intuitive, and robust to the wide range of possible impairment patterns. Even when focusing on a specific condition, such as stroke, the variety of encountered upper limb impairment patterns means that a single sensing modality, such as electromyography (EMG), might not be sufficient to enable controls for a broad range of users. To address this significant gap, we introduce a multimodal sensing and interaction paradigm for an active hand orthosis. In our proof-of-concept implementation, EMG is complemented by other sensing modalities, such as finger bend and contact pressure sensors. We propose multimodal interaction methods that utilize this sensory data as input, and show they can enable tasks for stroke survivors who exhibit different impairment patterns. We believe that robotic hand orthoses developed as multimodal sensory platforms with help address some of the key challenges in physical interaction with the user.

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Section: Related Workmentioning

confidence: 99%

Multimodal Sensing and Interaction for a Robotic Hand Orthosis

Park

Meeker

Weber

et al. 2019

IEEE Robot. Autom. Lett.

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“…Penelitian di dunia telah sangat maju berkaitan dengan exoskeleton [2][3][4][5][6][7][8]. Beberapa diantaranya berkaitan dengan upaya membantu pasien untuk dapat memulihkan kembali gerakan tangan melalui proses terapi sehingga proses pemulihannya bisa lebih cepat.…”

Section: Pendahuluanunclassified

Analisis Kekuatan Struktur Wereable Elbow Exoskeleton untuk Penderita Kelumpuhan Gerak Siku Menggunakan Finite Element Method (FEM)

Ismail

Sitanggang

Ariyanto

2019

Rot.

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The development of wearable elbow exoskeletons is in line with the development of robotics, where for some purposes to be used requires adjustments to material use. In the development of robotics, the types of robots are divided into 2 types, namely hard robotic and soft robotic based on the material used. On robotic wearable exoskeletons also adapting material developments that can support ergonomic values for patients to use it more comfortably. In Indonesia, research on elbow exoskeletons has been carried out (Ismail, 2018), but it is necessary to test the structural strength of these therapeutic devices. In this study we will discuss the strength of the structure of the Wearable Elbow Exoskeleton that has been designed using the Finite Element Method where objects consist of an infinite number of elements that compose them. In the absence of the finite element method it will be very difficult to analyze the stress or deformation. To facilitate the analysis it can be assumed that an object consists of a finite number of elements. The finite element method is a method that approaches by assuming an object consists of finite elements. These elements are considered separate and are connected to a point called a nodal point so that it forms a net, the smaller the size of the element, the smaller the error that arises. The simulation process is given some limitations that are used in the simulation. In boundary condition, we determine the loads that work on the geometry and what supports are used in geometry. The boundary condition specified in the simulation must be as much as possible with the actual conditions, because it will affect the results that will be obtained in the simulation process. From the simulation results obtained in the motor-linkage section the maximum voltage is 0.0016 MPa and safety factor of 13.05, the maximum linkage received is 58.461 MPa and the safety factor is 3.561, while the base maximum voltage received is 7.624 MPa and the safety factor amounting to 3,542. From these results it can be concluded if the parts that are considered prone to failure are considered to have sufficient safety factors to be used even at the maximum stress Keywords: Finite element method; von mises; brachialis plexus injury ABSTRAK

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“…A study reported there were meaningful clinical improvements for the majority of participants for the Action Research Arm Test (ARAT) and Upper Limb Motricity Index after a 12 week rehabilitation program [6]. HandSOME [7] and SPO [8] are also passive hand devices developed for impairment compensation following stroke. While such passive devices achieve a compact and lightweight design, they inherently interfere with finger flexion due to the constantly applied spring force.…”

Section: Related Workmentioning

confidence: 99%

Design and Development of Effective Transmission Mechanisms on a Tendon Driven Hand Orthosis for Stroke Patients

Park

Weber

Bishop

et al. 2018

2018 IEEE International Conference on Robotics and Automation (ICRA)

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Tendon-driven hand orthoses have advantages over exoskeletons with respect to wearability and safety because of their low-profile design and ability to fit a range of patients without requiring custom joint alignment. However, no existing study on a wearable tendon-driven hand orthosis for stroke patients presents evidence that such devices can overcome spasticity given repeated use and fatigue, or discusses transmission efficiency. In this study, we propose two designs that provide effective force transmission by increasing moment arms around finger joints. We evaluate the designs with geometric models and experiment using a 3D-printed artificial finger to find force and joint angle characteristics of the suggested structures. We also perform clinical tests with stroke patients to demonstrate the feasibility of the designs. The testing supports the hypothesis that the proposed designs efficiently elicit extension of the digits in patients with spasticity as compared to existing baselines. Fig. 1. Prototypes of the hand orthosis transmission mechanisms (top: Design A, bottom: Design B) proposed in this study.

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SCRIPT passive orthosis: design of interactive hand and wrist exoskeleton for rehabilitation at home after stroke

Cited by 88 publications

References 31 publications

Multimodal Sensing and Interaction for a Robotic Hand Orthosis

Multimodal Sensing and Interaction for a Robotic Hand Orthosis

Analisis Kekuatan Struktur Wereable Elbow Exoskeleton untuk Penderita Kelumpuhan Gerak Siku Menggunakan Finite Element Method (FEM)

Design and Development of Effective Transmission Mechanisms on a Tendon Driven Hand Orthosis for Stroke Patients

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