Force myography controlled multifunctional hand prosthesis for upper-limb amputees

2020 ◽  
Vol 62 ◽  
pp. 102122
Author(s):  
Alok Prakash ◽  
Ajay Kumar Sahi ◽  
Neeraj Sharma ◽  
Shiru Sharma
Keyword(s):  
Upper Limb ◽  
Hand Prosthesis ◽  
Force Myography

scholarly journals An Investigation on the Sampling Frequency of the Upper-Limb Force Myographic Signals

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2432 ◽  
Author(s):  
Zhen Gang Xiao ◽  
Carlo Menon
Keyword(s):  
Upper Limb ◽  
Sampling Frequency ◽  
Isometric Actions ◽  
Monitoring Applications ◽  
Minimum Requirements ◽  
Data Content ◽  
Acquisition Device ◽  
Force Myography ◽  
Machine Interface ◽  
Insight Into

Force myography (FMG) is an emerging method to register muscle activity of a limb using force sensors for human–machine interface and movement monitoring applications. Despite its newly gained popularity among researchers, many of its fundamental characteristics remain to be investigated. The aim of this study is to identify the minimum sampling frequency needed for recording upper-limb FMG signals without sacrificing signal integrity. Twelve healthy volunteers participated in an experiment in which they were instructed to perform rapid hand actions with FMG signals being recorded from the wrist and the bulk region of the forearm. The FMG signals were sampled at 1 kHz with a 16-bit resolution data acquisition device. We downsampled the signals with frequencies ranging from 1 Hz to 500 Hz to examine the discrepancies between the original signals and the downsampled ones. Based on the results, we suggest that FMG signals from the forearm and wrist should be collected with minimum sampling frequencies of 54 Hz and 58 Hz for deciphering isometric actions, and 70 Hz and 84 Hz for deciphering dynamic actions. This fundamental work provides insight into minimum requirements for sampling FMG signals such that the data content of such signals is not compromised.

P190: NEurocontrolled BIdirectional Artificial upper limb and hand prosthesiS (NEBIAS)

2014 ◽  
Vol 125 ◽  
pp. S99
Author(s):  
S. Micera ◽  
S. Raspospovic ◽  
M. Capogrosso ◽  
J. Carpaneto ◽  
G. Granata ◽  
...  
Keyword(s):  
Upper Limb ◽  
Hand Prosthesis

scholarly journals Development of Multifunctional Myoelectric Hand Prosthesis System with Easy and Effective Mode Change Control Method Based on the Thumb Position and State

2021 ◽  
Vol 11 (16) ◽  
pp. 7295
Author(s):  
Sung-Yoon Jung ◽  
Seung-Gi Kim ◽  
Joo-Hyung Kim ◽  
Se-Hoon Park
Keyword(s):  
Upper Limb ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Control Method ◽  
Effective Control ◽  
Hand Gestures ◽  
Mode Change ◽  
Hand Prosthesis ◽  
Six Dof ◽  
Flexion And Extension

Commercial multi-degrees-of-freedom (multi-DOF) myoelectric hand prostheses can perform various hand gestures and grip motions using multiple DOFs. However, as most upper limb amputees have less than two electromyogram (EMG) signals generated at the amputation site, it is difficult to control various hand gestures and grip motions using multi-DOF myoelectric hand prostheses. This paper proposes a multifunctional myoelectric hand prosthesis system that uses only two EMG sensors while improving the convenience of upper limb amputees in everyday life. The proposed system comprises a six-DOF myoelectric hand prosthesis and an easy and effective control algorithm that enables upper limb amputees to perform various hand gestures and grip motions. More specifically, the hand prosthesis has a multi-DOF five-finger mechanism and a small controller that can be mounted inside the hand, allowing it to perform various hand gestures and grip motions. The control algorithm facilitates four grip motions and four gesture motions using the adduction and abduction positions of the thumb, the flexion and extension state of the thumb, and three EMG signals (co-contraction, flexion, and extension) generated using the two EMG sensors. Experimental results indicate that the proposed system is a versatile, flexible, and effective hand prosthesis system for upper limb amputees.

Results of an Internet survey of myoelectric prosthetic hand users

2007 ◽  
Vol 31 (4) ◽  
pp. 362-370 ◽  
Author(s):  
Christian Pylatiuk ◽  
Stefan Schulz ◽  
Leonhard Döderlein
Keyword(s):  
Upper Limb ◽  
Force Feedback ◽  
Index Finger ◽  
Feedback System ◽  
Internet Survey ◽  
Personal Hygiene ◽  
Prosthetic Hand ◽  
Hand Prosthesis ◽  
Myoelectric Prostheses ◽  
High Level

The results of a survey of 54 persons with upper limb amputations who anonymously completed a questionnaire on an Internet homepage are presented. The survey ran for four years and the participants were divided into groups of females, males, and children. It was found that the most individuals employ their myoelectric hand prosthesis for 8 hours or more. However, the survey also revealed a high level of dissatisfaction with the weight and the grasping speed of the devices. Activities for which prostheses should be useful were stated to include handicrafts, personal hygiene, using cutlery, operation of electronic and domestic devices, and dressing/undressing. Moreover, additional functions, e.g., a force feedback system, independent movements of the thumb, the index finger, and the wrist, and a better glove material are priorities that were identified by the users as being important improvements the users would like to see in myoelectric prostheses.

scholarly journals Design of Tendon-Actuated Robotic Glove Integrated with Optical Fiber Force Myography Sensor

Automation ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 187-201
Author(s):  
Antonio Ribas Neto ◽  
Julio Fajardo ◽  
Willian Hideak Arita da Silva ◽  
Matheus Kaue Gomes ◽  
Maria Claudia Ferrari de Castro ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Upper Limb ◽  
Neurological Diseases ◽  
Assistive Device ◽  
Sensor Technology ◽  
User Intentions ◽  
Fluidic Actuators ◽  
Force Myography ◽  
Current Systems

People taken by upper limb disorders caused by neurological diseases suffer from grip weakening, which affects their quality of life. Researches on soft wearable robotics and advances in sensor technology emerge as promising alternatives to develop assistive and rehabilitative technologies. However, current systems rely on surface electromyography and complex machine learning classifiers to retrieve the user intentions. In addition, the grasp assistance through electromechanical or fluidic actuators is passive and does not contribute to the rehabilitation of upper-limb muscles. Therefore, this paper presents a robotic glove integrated with a force myography sensor. The glove-like orthosis features tendon-driven actuation through servo motors, working as an assistive device for people with hand disabilities. The detection of user intentions employs an optical fiber force myography sensor, simplifying the operation beyond the usual electromyography approach. Moreover, the proposed system applies functional electrical stimulation to activate the grasp collaboratively with the tendon mechanism, providing motion support and assisting rehabilitation.

Reflex Responses in Upper Limb Muscles to Cutaneous Stimuli

1993 ◽  
Vol 20 (04) ◽  
pp. 271-278 ◽  
Author(s):  
R. Chen
Keyword(s):  
Stimulus Intensity ◽  
Upper Limb ◽  
Healthy Subjects ◽  
Voluntary Contraction ◽  
Cutaneous Reflexes ◽  
Focal Lesions ◽  
Normal Ranges ◽  
Conduction Velocities ◽  
Limb Muscles ◽  
Biphasic Responses

ABSTRACT:Cutaneous reflexes in the upper limb were elicited by stimulating digital nerves and recorded by averaging rectified EMG from proximal and distal upper limb muscles during voluntary contraction. Distal muscles often showed a triphasic response: an inhibition with onset about 50 ms (Il) followed by a facilitation with onset about 60 ms (E2) followed by another inhibition with onset about 80 ms (12). Proximal muscles generally showed biphasic responses beginning with facilitation or inhibition with onset at about 40 ms. Normal ranges for the amplitude of these components were established from recordings on 22 arms of 11 healthy subjects. An attempt was made to determine the alterent fibers responsible for the various components by varying the stimulus intensity, by causing ischemic block of larger fibers and by estimating the afferent conduction velocities. The central pathways mediating these reflexes were examined by estimating central delays and by studying patients with focal lesions

Sign in / Sign up

Export Citation Format

Share Document