Proceedings ArticleDOI
Intelligent Exoskeleton for Patients with Paralysis
Anas Al Bakri,Mohamed Yacine Lezzar,Mohammed Alzinati,Khaled Mortazavi,Wessam Shehieb,Tazeen Sharif +5 more
TLDR
A robotic upper-limb exoskeleton guided using 3D object detection and recognition and controlled via Electroencephalogram (EEG) signals to give patients with complete monoplegic, hemiplegic and quadriplegic paralysis the ability to move their upper- Limb and control a wheelchair using their thoughts.Abstract:
The topic of paralysis has gained a lot of interest among scientist over the last years. Therefore, many projects were made for patients suffering from paralysis, yet none has succeeded in achieving an effective way to give these patients the ability to control their paralyzed body parts. This paper proposes a robotic upper-limb exoskeleton guided using 3D object detection and recognition and controlled via Electroencephalogram (EEG) signals. The proposed system is dedicated to patients with complete monoplegic, hemiplegic and quadriplegic paralysis. The main objective of the system is to give these patients the ability to move their upper-limb, and control a wheelchair using their thoughts, which offers them independence, better life quality and assist them in leading active roles in the society. This system consists of four main components, namely, EEG module, infrared (IR) depth camera, 3D printed upper-limb exoskeleton and a motorized wheelchair. The former two are used as inputs to the system and the collaboration between them shows the uniqueness of the proposed approach. EEG signals are segmented and classified through Fuzzy Logic technique and the results are used for choosing the desired object for grabbing from the surface of a table. Movement to the desired object is executed based on the 3D coordinates obtained from the IR depth camera, while inertial measurement unit (IMU) sensor is placed on the arm as a feedback element to ensure accurate movement and proper safety measures. System prototype showed sufficient results for the proposed idea.read more
Citations
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Journal ArticleDOI
Artificial Intelligence-Based Wearable Robotic Exoskeletons for Upper Limb Rehabilitation: A Review.
TL;DR: In this paper, a literature search was performed in Scopus, IEEE Xplore, Web of Science, and PubMed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology with three main inclusion criteria: (a) motor or neuromotor rehabilitation for upper limbs, (b) mobile robotic exoskeletons, and (c) AI.
Journal ArticleDOI
Design, Development, and Testing of an Intelligent Wearable Robotic Exoskeleton Prototype for Upper Limb Rehabilitation.
TL;DR: In this article, a wearable robotic exoskeleton prototype with autonomous Artificial Intelligence-based control, processing, and safety algorithms is presented, which allows flexion-extension at the elbow joint, where the chosen materials render it compact.
Journal ArticleDOI
Design of Portable Exoskeleton Forearm for Rehabilitation of Monoparesis Patients Using Tendon Flexion Sensing Mechanism for Health Care Applications
Muhammad Saad bin Imtiaz,Channa Babar Ali,Zareena Kausar,Syed Yaseen Shah,Syed Aziz Shah,Jawad Ahmad,Muhammad Imran,Qammer H. Abbasi +7 more
TL;DR: The exoskeleton was used for force augmentation of the patient’s hand by taking the input from the hand via flex sensors, and assisted the patient in closing, opening, grasping, and picking up objects.
Proceedings ArticleDOI
On the Optimal Selection of Motors and Transmissions for a Back-Support Exoskeleton
Erfan Shojaei Barjuei,M. Mahdi Ghazaei Ardakani,Darwin G. Caldwell,Marcello Sanguineti,Jesús Ortiz +4 more
TL;DR: In order to perform an optimization procedure, the dynamic model of the system has been developed analytically and optimization criteria in terms of closed-loop system bandwidth, system power consumption and component weights have been formulated by taking technical limitations into account.
Proceedings ArticleDOI
Data Acquisition and Control Architecture for Intelligent Robotic Exoskeletons in Rehabilitation
TL;DR: An architecture proposal for the development of intelligent robotic exoskeletons to support upper limb rehabilitation, especially in clinical conditions such as hemiparesis, as well as to address the problems described above.
References
More filters
Journal ArticleDOI
MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
TL;DR: A new robust estimator MLESAC is presented which is a generalization of the RANSAC estimator which adopts the same sampling strategy as RANSac to generate putative solutions, but chooses the solution that maximizes the likelihood rather than just the number of inliers.
Proceedings ArticleDOI
Design of a BCI System for Piloting a Wheelchair Using Five Class MI Based EEG
G. Reshmi,A. Amal +1 more
TL;DR: In this work the motor imagery EEG signal is translated into control signal using a five class BCI to control the directional movement of a wheelchair.
Human power; comfortable one- hand cranking
A.J. Jansen,P. Slob +1 more
TL;DR: In this article, the authors measured the subjects' (eight young males) maximum power output and the time to exhaustion at different power levels and showed a sustained power output from cranking to be: 54 ± 14 Watt (mean ± SD).
Proceedings ArticleDOI
EEG-based communication system for patients with locked-in syndrome using fuzzy logic
TL;DR: An Electroencephalogram (EEG)-based communication system is developed to facilitate communication of Locked-in Syndrome patients with their caretakers and a prototype system has been developed and successfully tested.
Proceedings ArticleDOI
Design and computer simulation of a Human-Machine Interaction-Force controlled powered upper-limb exoskeleton
TL;DR: In this paper, a 3-DoF upper-limb exoskeleton was used to guide the development of optimized torque assist curves, which were shown to provide safe and effective load attenuation, as well as maximize free-motion performance.