Sharma, Udit Vasamsetti, Srikanth Chander, Sekar Anup Datta, Banibrata
Published in
Biomedical Physics & Engineering Express
Powered prosthetic hands capable of executing various grasp patterns are highly sought-after solutions for upper limb amputees. A crucial requirement for such prosthetic hands is the accurate identification of the intended grasp pattern and subsequent activation of the prosthetic digits accordingly. Vision-based grasp classification techniques offe...
Xie, Anran Li, Chen Chou, Chih-hong Li, Tie Dai, Chenyun Lan, Ning
Published in
Frontiers in Neuroscience
Background Advanced prosthetic hands may embed nanosensors and microelectronics in their cosmetic skin. Heat influx may cause damage to these delicate structures. Protecting the integrity of the prosthetic hand becomes critical and necessary to ensure sustainable function. This study aims to mimic the sensorimotor control strategy of the human hand...
Shi, Ping Fang, Kaixin Yu, Hongliu
Published in
Technology and health care : official journal of the European Society for Engineering and Medicine
At present, the popular control method for intelligent bionic prosthetic hands is EMG control. However, the control accuracy of this method is low. It is a trend to integrate computer vision into the prosthetic hand. The purpose of this paper is to design an intelligent prosthetic hand based on image recognition, improve the control accuracy and th...
Andrea, Marinelli Nicolò, Boccardo Federico, Tessari Dario, Di Domenico Giulia, Caserta Michele, Canepa Giuseppina, Gini Giacinto, Barresi Matteo, Laffranchi Lorenzo, De Michieli
...
The journey of a prosthetic user is characterized by the opportunities and the limitations of a device that should enable activities of daily living (ADL). In particular, experiencing a bionic hand as a functional (and, advantageously, embodied) limb constitutes the premise for promoting the practice in using the device, mitigating the risk of its ...
Marinelli, Andrea Boccardo, Nicolò Tessari, Federico Di Domenico, Dario Caserta, Giulia Canepa, Michele Gini, Giuseppina Barresi, Giacinto Laffranchi, Matteo De Michieli, Lorenzo
...
Published in
Progress in Biomedical Engineering
The journey of a prosthetic user is characterized by the opportunities and the limitations of a device that should enable activities of daily living (ADL). In particular, experiencing a bionic hand as a functional (and, advantageously, embodied) limb constitutes the premise for promoting the practice in using the device, mitigating the risk of its ...
Soroushmojdehi, Rahil Javadzadeh, Sina Pedrocchi, Alessandra Gandolla, Marta
Published in
Frontiers in Neuroscience
Over the past several years, electromyography (EMG) signals have been used as a natural interface to interact with computers and machines. Recently, deep learning algorithms such as Convolutional Neural Networks (CNNs) have gained interest for decoding the hand movement intention from EMG signals. However, deep networks require a large dataset to t...
Zhang, Zhuozhi Zhang, Jie Luo, Qi Chou, Chih-Hong Xie, Anran Niu, Chuanxin M Hao, Manzhao Lan, Ning
Published in
IEEE open journal of engineering in medicine and biology
Objective: Human neuromuscular reflex control provides a biological model for a compliant hand prosthesis. Here we present a computational approach to understanding the emerging human-like compliance, force and position control, and stiffness adaptation in a prosthetic hand with a replica of human neuromuscular reflex. Methods: A virtual twin of pr...
Tchimino, Jack Dideriksen, Jakob Lund Dosen, Strahinja
Published in
Frontiers in Neuroscience
Closing the prosthesis control loop by providing artificial somatosensory feedback can improve utility and user experience. Additionally, closed-loop control should be more robust with respect to disturbance, but this might depend on the type of feedback provided. Thus, the present study investigates and compares the performance of EMG and force fe...
Balandiz, Kemal
Myoelectric controlled prosthetic hands represent an effective tool to restore functionality and enhance the quality of life for upper limb amputees. Such devices provide sensing, multifunctionality and more natural control. In the current state of the art solutions, the control is mainly accomplished through sophisticated motion encoding by using ...
Weiner, Pascal Starke, Julia Rader, Samuel Hundhausen, Felix Asfour, Tamim
Published in
Frontiers in Neurorobotics
Hand prostheses should provide functional replacements of lost hands. Yet current prosthetic hands often are not intuitive to control and easy to use by amputees. Commercially available prostheses are usually controlled based on EMG signals triggered by the user to perform grasping tasks. Such EMG-based control requires long training and depends he...
