Literature DB >> 34960465

A Coupled Piezoelectric Sensor for MMG-Based Human-Machine Interfaces.

Mateusz Szumilas1, Michał Władziński1, Krzysztof Wildner1.   

Abstract

Mechanomyography (MMG) is a technique of recording muscles activity that may be considered a suitable choice for human-machine interfaces (HMI). The design of sensors used for MMG and their spatial distribution are among the deciding factors behind their successful implementation to HMI. We present a new design of a MMG sensor, which consists of two coupled piezoelectric discs in a single housing. The sensor's functionality was verified in two experimental setups related to typical MMG applications: an estimation of the force/MMG relationship under static conditions and a neural network-based gesture classification. The results showed exponential relationships between acquired MMG and exerted force (for up to 60% of the maximal voluntary contraction) alongside good classification accuracy (94.3%) of eight hand motions based on MMG from a single-site acquisition at the forearm. The simplification of the MMG-based HMI interface in terms of spatial arrangement is rendered possible with the designed sensor.

Entities:  

Keywords:  convolutional neural network; hand gesture recognition; human-machine interface; mechanomyography; piezoelectric sensor; prosthetic control; vibration sensor

Mesh:

Year:  2021        PMID: 34960465      PMCID: PMC8705252          DOI: 10.3390/s21248380

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  20 in total

1.  Surface electromyography and mechanomyography recording: a new differential composite probe.

Authors:  B Gregori; E Galié; N Accornero
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

2.  Continuous monitoring of electromyography (EMG), mechanomyography (MMG), sonomyography (SMG) and torque output during ramp and step isometric contractions.

Authors:  Jing-Yi Guo; Yong-Ping Zheng; Hong-Bo Xie; Xin Chen
Journal:  Med Eng Phys       Date:  2010-08-04       Impact factor: 2.242

3.  Influence of sensor mass and adipose tissue on the mechanomyography signal of elbow flexor muscles.

Authors:  Elgison Santos; Maria de Fatima Fernandes Vara; Maira Ranciaro; Wally Strasse; Guilherme Nunes Nogueira Neto; Percy Nohama
Journal:  J Biomech       Date:  2021-04-21       Impact factor: 2.712

4.  Recording sound from human skeletal muscle: technical and physiological aspects.

Authors:  C F Bolton; A Parkes; T R Thompson; M R Clark; C J Sterne
Journal:  Muscle Nerve       Date:  1989-02       Impact factor: 3.217

5.  Wearable MMG-Plus-One Armband: Evaluation of Normal Force on Mechanomyography (MMG) to Enhance Human-Machine Interfacing.

Authors:  C Sebastian Mancero Castillo; Samuel Wilson; Ravi Vaidyanathan; S Farokh Atashzar
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-02-26       Impact factor: 3.802

6.  The influence of muscle fiber type composition on the patterns of responses for electromyographic and mechanomyographic amplitude and mean power frequency during a fatiguing submaximal isometric muscle action.

Authors:  T W Beck; T J Housh; A C Fry; J T Cramer; J P Weir; B K Schilling; M J Falvo; C A Moore
Journal:  Electromyogr Clin Neurophysiol       Date:  2007-07

7.  Mechanomyographic parameter extraction methods: an appraisal for clinical applications.

Authors:  Morufu Olusola Ibitoye; Nur Azah Hamzaid; Jorge M Zuniga; Nazirah Hasnan; Ahmad Khairi Abdul Wahab
Journal:  Sensors (Basel)       Date:  2014-12-03       Impact factor: 3.576

8.  A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition.

Authors:  Daniele Esposito; Emilio Andreozzi; Gaetano D Gargiulo; Antonio Fratini; Giovanni D'Addio; Ganesh R Naik; Paolo Bifulco
Journal:  Front Neurorobot       Date:  2020-01-17       Impact factor: 2.650

Review 9.  Mechanomyogram for muscle function assessment: a review.

Authors:  Md Anamul Islam; Kenneth Sundaraj; R Badlishah Ahmad; Nizam Uddin Ahamed
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

10.  An Ultra-Sensitive Modular Hybrid EMG-FMG Sensor with Floating Electrodes.

Authors:  Ang Ke; Jian Huang; Luyao Chen; Zhaolong Gao; Jiping He
Journal:  Sensors (Basel)       Date:  2020-08-24       Impact factor: 3.576

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