Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Nur Azah Hamzaid"'
Autor:
Puteri Nur Farhana Hamdan, Nur Azah Hamzaid, Nazirah Hasnan, Nasrul Anuar Abd Razak, Rizal Razman, Juliana Usman
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Literature has shown that simulated power production during conventional functional electrical stimulation (FES) cycling was improved by 14% by releasing the ankle joint from a fixed ankle setup and with the stimulation of the tibialis anter
Externí odkaz:
https://doaj.org/article/aebdaa25d55b4f0eb45ab3409dee10a6
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-23 (2023)
Abstract Background Over the decades, many publications have established respiratory muscle training (RMT) as an effective way in improving respiratory dysfunction in multiple populations. The aim of the paper is to determine the trend of research an
Externí odkaz:
https://doaj.org/article/ee074b7ff0724d1ca2b937e6075c26cb
Autor:
Muhammad Imran Ramli, Nur Azah Hamzaid, Julia Patrick Engkasan, Juliana Usman, Marzelan Salleh, Wee Duen Hueh
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0305940 (2024)
People with spinal cord injury (SCI) experience respiratory dysfunctions which include hypersecretions, bronchospasm, and respiratory muscles weakness. Singing therapy has been implemented as part of respiratory muscle training (RMT) to improve their
Externí odkaz:
https://doaj.org/article/d2047b6f2f254e209c28e2e90a91b902
Publikováno v:
Journal of Sport and Health Science, Vol 11, Iss 6, Pp 671-680 (2022)
Background: Due to its clinically proven safety and health benefits, functional electrical stimulation (FES) cycling has become a popular exercise modality for individuals with spinal cord injury (SCI). Since its inception in 2013, the Cybathlon cham
Externí odkaz:
https://doaj.org/article/894697c599ea48569969e7f0a0f3970d
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Background: Peripheral muscle weakness can be measured quantitatively in long COVID patients. Mechanomyography (MMG) is an alternative tool to measure muscle strength non-invasively.Objective: This literature review aims to provide evidence on the ef
Externí odkaz:
https://doaj.org/article/417d86268e2b4646afa6d5a90a970337
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
This study sought to design and deploy a torque monitoring system using an artificial neural network (ANN) with mechanomyography (MMG) for situations where muscle torque cannot be independently quantified. The MMG signals from the quadriceps were use
Externí odkaz:
https://doaj.org/article/2720513db7df47b580638dd427c1cbde
Autor:
Morufu Olusola Ibitoye, Nur Azah Hamzaid, Jorge M. Zuniga, Nazirah Hasnan, Ahmad Khairi Abdul Wahab
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 22940-22970 (2014)
The research conducted in the last three decades has collectively demonstrated that the skeletal muscle performance can be alternatively assessed by mechanomyographic signal (MMG) parameters. Indices of muscle performance, not limited to force, power
Externí odkaz:
https://doaj.org/article/d8b5a709649c40aa82b02d0da322154d
Autor:
Eduardo H. Estigoni, Che Fornusek, Nur Azah Hamzaid, Nazirah Hasnan, Richard M. Smith, Glen M. Davis
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 22907-22920 (2014)
This study investigated whether the relationship between muscle torque and m-waves remained constant after short recovery periods, between repeated intervals of isometric muscle contractions induced by functional electrical stimulation (FES). Eight s
Externí odkaz:
https://doaj.org/article/b447ef2191fe41b088c7f9020f2c9db1
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 23724-23741 (2014)
Alternative sensory systems for the development of prosthetic knees are being increasingly highlighted nowadays, due to the rapid advancements in the field of lower limb prosthetics. This study presents the use of piezoelectric bimorphs as in-socket
Externí odkaz:
https://doaj.org/article/7dd0d427609e4921830365f4a1714ea4
Autor:
Nur Azah Hamzaid, Farahiyah Jasni, Nor Elleeiana Mohd Syah, Tze Y. Chung, Noor Azuan Abu Osman
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
The walking mechanism of a prosthetic leg user is a tightly coordinated movement of several joints and limb segments. The interaction among the voluntary and mechanical joints and segments requires particular biomechanical insight. This study aims to
Externí odkaz:
https://doaj.org/article/ce72ff2a42e54562a444ad8f14981b5f