Tongue Movement Estimation Based on Suprahyoid Muscle Activity

2014 ◽  
pp. 257-273
Author(s):  
Makoto Sasaki
Keyword(s):  
Motor Function ◽  
Muscle Activity ◽  
Surface Electromyography ◽  
Tongue Movement ◽  
Alternative Communication ◽  
Human Machine Interfaces ◽  
Tongue Movements ◽  
Novel Method ◽  
Suprahyoid Muscle ◽  
And Control

The motor function of the tongue often remains intact even in cases of severe movement paralysis. Therefore, tongue movements offer great potential for the design of highly efficient human-machine interfaces for alternative communication and control. This chapter introduces a novel method for tongue movement estimation based on analysis of surface electromyography (EMG) signals from the suprahyoid muscles, which usually function to open the mouth and to control the hyoid position.

Estimation of tongue movement based on suprahyoid muscle activity

2011 ◽  
Author(s):  
Makoto Sasaki ◽  
Takayuki Arakawa ◽  
Atsushi Nakayama ◽  
Goro Obinata ◽  
Masaki Yamaguchi
Keyword(s):  
Muscle Activity ◽  
Tongue Movement ◽  
Suprahyoid Muscle

Tongue-Movement Communication and Control Concept for Hands-Free Human–Machine Interfaces

2007 ◽  
Vol 37 (4) ◽  
pp. 533-546 ◽  
Author(s):  
Ravi Vaidyanathan ◽  
Beomsu Chung ◽  
Lalit Gupta ◽  
Hyunseok Kook ◽  
Srinivas Kota ◽  
...  
Keyword(s):  
Tongue Movement ◽  
Human Machine Interfaces ◽  
Control Concept ◽  
And Control

Prevalence of Speech Problems and the Use of Augmentative and Alternative Communication in Children With Cerebral Palsy: A Registry-Based Study in Norway

2010 ◽  
Vol 19 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Guro Andersen ◽  
Tone R. Mjøen ◽  
Torstein Vik
Keyword(s):  
Cerebral Palsy ◽  
Motor Function ◽  
Gestational Age ◽  
Augmentative And Alternative Communication ◽  
Alternative Communication ◽  
Gross Motor ◽  
Gross Motor Function ◽  
Children With Cerebral Palsy ◽  
Communicative Abilities ◽  
Normal Speech

Abstract This study describes the prevalence of speech problems and the use of augmentative and alternative communication (AAC) in children with cerebral palsy (CP) in Norway. Information on the communicative abilities of 564 children with CP born 1996–2003, recorded in the Norwegian CP Registry, was collected. A total of 270 children (48%) had normal speech, 90 (16%) had slightly indistinct speech, 52 (9%) had indistinct speech, 35 (6%) had very indistinct speech, 110 children (19%) had no speech, and 7 (1%) were unknown. Speech problems were most common in children with dyskinetic CP (92 %), in children with the most severe gross motor function impairments and among children being totally dependent on assistance in feeding or tube-fed children. A higher proportion of children born at term had speech problems when compared with children born before 32 weeks of gestational age 32 (p > 0.001). Among the 197 children with speech problems only, 106 (54%) used AAC in some form. Approximately 20% of children had no verbal speech, whereas ~15% had significant speech problems. Among children with either significant speech problems or no speech, only 54% used AAC in any form.

scholarly journals Clinical Use of Surface Electromyography to Track Acute Upper Extremity Muscle Recovery after Stroke: A Descriptive Case Study of a Single Patient

2021 ◽  
Vol 4 (2) ◽  
pp. 32
Author(s):  
Heather A. Feldner ◽  
Christina Papazian ◽  
Keshia M. Peters ◽  
Claire J. Creutzfeldt ◽  
Katherine M. Steele
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
Inpatient Rehabilitation ◽  
Stroke Survivor ◽  
Structured Interview ◽  
Routine Care ◽  
Stroke Recovery ◽  
Descriptive Case Study ◽  
Sensing Technology

Arm recovery varies greatly among stroke survivors. Wearable surface electromyography (sEMG) sensors have been used to track recovery in research; however, sEMG is rarely used within acute and subacute clinical settings. The purpose of this case study was to describe the use of wireless sEMG sensors to examine changes in muscle activity during acute and subacute phases of stroke recovery, and understand the participant’s perceptions of sEMG monitoring. Beginning three days post-stroke, one stroke survivor wore five wireless sEMG sensors on his involved arm for three to four hours, every one to three days. Muscle activity was tracked during routine care in the acute setting through discharge from inpatient rehabilitation. Three- and eight-month follow-up sessions were completed in the community. Activity logs were completed each session, and a semi-structured interview occurred at the final session. The longitudinal monitoring of muscle and movement recovery in the clinic and community was feasible using sEMG sensors. The participant and medical team felt monitoring was unobtrusive, interesting, and motivating for recovery, but desired greater in-session feedback to inform rehabilitation. While barriers in equipment and signal quality still exist, capitalizing on wearable sensing technology in the clinic holds promise for enabling personalized stroke recovery.

scholarly journals Development of a Virtual Reality Simulator for an Intelligent Robotic System Used in Ankle Rehabilitation

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1537
Author(s):  
Florin Covaciu ◽  
Adrian Pisla ◽  
Anca-Elena Iordan
Keyword(s):  
Virtual Reality ◽  
Muscle Activity ◽  
Human Subject ◽  
Robotic System ◽  
Virtual Reality Simulator ◽  
Robotic Rehabilitation ◽  
Rehabilitation Process ◽  
Leg Muscles ◽  
Ankle Rehabilitation ◽  
And Control

The traditional systems used in the physiotherapy rehabilitation process are evolving towards more advanced systems that use virtual reality (VR) environments so that the patient in the rehabilitation process can perform various exercises in an interactive way, thus improving the patient’s motivation and reducing the therapist’s work. The paper presents a VR simulator for an intelligent robotic system of physiotherapeutic rehabilitation of the ankle of a person who has had a stroke. This simulator can interact with a real human subject by attaching a sensor that contains a gyroscope and accelerometer to identify the position and acceleration of foot movement on three axes. An electromyography (EMG) sensor is also attached to the patient’s leg muscles to measure muscle activity because a patient who is in a worse condition has weaker muscle activity. The data collected from the sensors are taken by an intelligent module that uses machine learning to create new levels of exercise and control of the robotic rehabilitation structure of the virtual environment. Starting from these objectives, the virtual reality simulator created will have a low dependence on the therapist, this being the main improvement over other simulators already created for this purpose.

Analysis of Muscle Activity Using Surface Electromyography for Muscle Performance in Manual Lifting Task

2014 ◽  
Vol 564 ◽  
pp. 644-649 ◽  
Author(s):  
Halim Isa ◽  
Rawaida ◽  
Seri Rahayu Kamat ◽  
A. Rohana ◽  
Adi Saptari ◽  
...  
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
Biceps Brachii ◽  
Twist Angle ◽  
Erector Spinae ◽  
Manual Lifting ◽  
Experienced Fatigue ◽  
Left And Right ◽  
Lifting Task ◽  
Load Mass

In industries, manual lifting is commonly practiced even though mechanized material handling equipment are provided. Manual lifting is used to transport or move products and goods to a desired place.Improper lifting techniquescontribute to muscle fatigue and low back pain that can lead to work efficiency and low productivity.The objective of this study were to analyze muscle activity in the left and right Erector Spinae, and left and right Biceps Brachii of five female subjects while performing manual lifting taskwithdifferent load mass, lifting height and twist angle.The muscle activitywere measured and analyzed using surface electromyography (sEMG).This study found that the right Biceps Brachii, right and left Erector Spinae experienced fatigue while performingasymmetric lifting (twist angle = 90°) at lifting height of 75 cm and 140 cm with load mass of 5 kg and 10 kg. Meanwhile, the left Biceps Brachii experienced fatigue when the lifting task was set at lifting height of 75 cm, load mass of 5 kg and twist angle of 90°.The load mass and lifting height has a significant influence to Mean Power Frequency (MPF) for left Biceps Brachii, left and right Erector Spinae. This study concluded that reducing the load mass can increase the muscles performance which can extend the transition-to-fatigue stage in the left and right Biceps Brachii and Erector Spinae.

Sign in / Sign up

Export Citation Format

Share Document