Mechanomyogram for muscle function assessment: a review

MA Islam, K Sundaraj, RB Ahmad, NU Ahamed - PloS one, 2013 - journals.plos.org
Background Mechanomyography (MMG) has been extensively applied in clinical and
experimental practice to examine muscle characteristics including muscle function (MF) …

Lower limb exoskeleton sensors: state-of-the-art

S Neťuková, M Bejtic, C Malá, L Horáková, P Kutílek… - Sensors, 2022 - mdpi.com
Due to the ever-increasing proportion of older people in the total population and the growing
awareness of the importance of protecting workers against physical overload during long …

Physical activities monitoring using wearable acceleration sensors attached to the body

M Arif, A Kattan - PloS one, 2015 - journals.plos.org
Monitoring physical activities by using wireless sensors is helpful for identifying postural
orientation and movements in the real-life environment. A simple and robust method based …

Mechanomyography sensor development, related signal processing, and applications: a systematic review

MA Islam, K Sundaraj, RB Ahmad… - IEEE Sensors …, 2013 - ieeexplore.ieee.org
Mechanomyography (MMG) is extensively used in the research of sensor development,
signal processing, characterization of muscle activity, development of prosthesis and/or …

Myovibe: Vibration based wearable muscle activation detection in high mobility exercises

F Mokaya, R Lucas, HY Noh, P Zhang - Proceedings of the 2015 ACM …, 2015 - dl.acm.org
Skeletal muscles are activated to generate the force needed for movement in most high
motion sports and exercises. However, incorrect skeletal muscle activation during these …

Vector autoregressive hierarchical hidden Markov models for extracting finger movements using multichannel surface EMG signals

N Malešević, D Marković, G Kanitz, M Controzzi… - …, 2018 - Wiley Online Library
We present a novel computational technique intended for the robust and adaptable control
of a multifunctional prosthetic hand using multichannel surface electromyography. The initial …

New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle

C Meagher, E Franco, R Turk… - … of rehabilitation and …, 2020 - journals.sagepub.com
Introduction The Mechanical Muscle Activity with Real-time Kinematics project aims to
develop a device incorporating wearable sensors for arm rehabilitation following stroke …

Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury

J Naeem, NA Hamzaid, MA Islam, AW Azman… - Medical & biological …, 2019 - Springer
Patients with spinal cord injury (SCI) benefit from muscle training with functional electrical
stimulation (FES). For safety reasons and to optimize training outcome, the fatigue state of …

[PDF][PDF] XTH SENSE: a study of muscle sounds for an experimental paradigm of musical performance.

M Donnarumma - ICMC, 2011 - academia.edu
This paper seeks to outline methods underlying the development of the Xth Sense project,
an ongoing research which investigates exploratory applications of biophysical sound …

Hand motion pattern recognition analysis of forearm muscle using MMG signals

MRM Ismail, CK Lam, K Sundaraj… - Bulletin of Electrical …, 2019 - beei.org
Surface Mechanomyography (MMG) is the recording of mechanical activity of muscle tissue.
MMG measures the mechanical signal (vibration of muscle) that generated from the muscles …