Nur Azah Hamzaid

Orcid: 0000-0002-4277-2813

According to our database1, Nur Azah Hamzaid authored at least 13 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise.
Comput. Biol. Medicine, 2020

2019
Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury.
Medical Biol. Eng. Comput., 2019

In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs.
J. Electronic Imaging, 2019

Restoring prolonged standing via functional electrical stimulation after spinal cord injury: A systematic review of control strategies.
Biomed. Signal Process. Control., 2019

2018
Neural Network-Based Muscle Torque Estimation Using Mechanomyography During Electrically-Evoked Knee Extension and Standing in Spinal Cord Injury.
Frontiers Neurorobotics, 2018

2017
Mechanomyography and Torque during FES-Evoked Muscle Contractions to Fatigue in Individuals with Spinal Cord Injury.
Sensors, 2017

2016
Estimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression.
Sensors, 2016

Development of computer play pedagogy intervention for children with low conceptual understanding in basic mathematics operation using the dyscalculia feature approach.
Interact. Learn. Environ., 2016

2014
Mechanomyographic Parameter Extraction Methods: An Appraisal for Clinical Applications.
Sensors, 2014

The Effectiveness of FES-Evoked EMG Potentials to Assess Muscle Force and Fatigue in Individuals with Spinal Cord Injury.
Sensors, 2014

Evoked EMG<i> versus</i> Muscle Torque during Fatiguing Functional Electrical Stimulation-Evoked Muscle Contractions and Short-Term Recovery in Individuals with Spinal Cord Injury.
Sensors, 2014

Piezoelectric Bimorphs' Characteristics as In-Socket Sensors for Transfemoral Amputees.
Sensors, 2014

2013
Development of a Micro-Gripper Using Piezoelectric Bimorphs.
Sensors, 2013


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