Outputs (21)

FE Modelling Tibia Bone Vibration - The Influence of Shape, Twist, and Size (2024)
Journal Article
Scanlan, J., Umnova, O., & Li, F. (in press). FE Modelling Tibia Bone Vibration - The Influence of Shape, Twist, and Size. #Journal not on list, https://doi.org/10.61782/fa.2023.1141

The vibration response of bone has the potential to be used as a measure of bone strength for Osteoporosis detection. Modelling the vibration response requires capturing the shape of the long bones which have several complicated features. Yet modelli... Read More about FE Modelling Tibia Bone Vibration - The Influence of Shape, Twist, and Size.

Detection of osteoporosis from percussion responses using an electronic stethoscope and machine learning (2018)
Journal Article
Scanlan, J., Li, F., Umnova, O., Rakoczy, G., Lövey, N., & Scanlan, P. (2018). Detection of osteoporosis from percussion responses using an electronic stethoscope and machine learning. Bioengineering, 5(4), 107. https://doi.org/10.3390/bioengineering5040107

Osteoporosis is an asymptomatic bone condition that affects a large proportion of the elderly population around the world, resulting in increased bone fragility and increased risk of fracture. Previous studies had shown that the vibroacoustic respons... Read More about Detection of osteoporosis from percussion responses using an electronic stethoscope and machine learning.

Mitigating wind induced noise in outdoor microphone signals using a singular spectral subspace method (2018)
Journal Article
Eldwaik, O., & Li, F. (2018). Mitigating wind induced noise in outdoor microphone signals using a singular spectral subspace method. Technologies, 6(1), https://doi.org/10.3390/technologies6010019

Wind induced noise is one of the major concerns of outdoor acoustic signal acquisition. It affects many field measurement and audio recording scenarios. Filtering such noise is known to be difficult due to its broadband and time varying nature. In t... Read More about Mitigating wind induced noise in outdoor microphone signals using a singular spectral subspace method.

Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance (2015)
Journal Article
A. Al-Karawi, K., H. Al-Noori, A., Li, F., & Ritchings, T. (2015). Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance. International journal of information and electronics engineering (Singapore : Online), 5(6), 423-427. https://doi.org/10.7763/IJIEE.2015.V5.571

Speaker recognition has been developed and evolved over the past few decades into a supposedly mature technique. Existing methods typically utilize robust features extracted from clean speech. In real-world applications, especially security and for... Read More about Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance.

Microphone handling noise : measurements of perceptual threshold and effects on audio quality (2015)
Journal Article
Kendrick, P., Jackson, I., Fazenda, B., Cox, T., & Li, F. (2015). Microphone handling noise : measurements of perceptual threshold and effects on audio quality. PLoS ONE, 10(10), e0140256. https://doi.org/10.1371/journal.pone.0140256

A psychoacoustic experiment was carried out to test the effects of microphone handling noise on perceived audio quality. Handling noise is a problem affecting both amateurs using their smartphones and cameras, as well as professionals using separate... Read More about Microphone handling noise : measurements of perceptual threshold and effects on audio quality.

Perceived audio quality of sounds degraded by non-linear distortions and single-ended assessment using HASQI (2015)
Journal Article
assessment using HASQI. Journal of the Audio Engineering Society, 63(9), 698-712. https://doi.org/10.17743/jaes.2015.0068

For field recordings and user generated content recorded on phones, tablets, and other mobile devices nonlinear distortions caused by clipping and limiting at pre-amplification stages, and dynamic range control (DRC) are common causes of poor audio... Read More about Perceived audio quality of sounds degraded by non-linear distortions and single-ended assessment using HASQI.

Independent Component Analysis Methods to Improve Electrocardiogram Patterns Recognition in the Presence of Non-Trivial Artifacts (2015)
Journal Article
Sarfraz, M., Li, F., & Khan, A. (2015). Independent Component Analysis Methods to Improve Electrocardiogram Patterns Recognition in the Presence of Non-Trivial Artifacts. Journal of medical and bioengineering, 4(3), 221-226. https://doi.org/10.12720/jomb.4.3.221-226

Electrocardiogram (ECG) signals are affected by various kinds of noise and artifacts that may impede correct recognition by automated monitoring or diagnosis systems. Independent component analysis (ICA) is considered as a new technique suitable for... Read More about Independent Component Analysis Methods to Improve Electrocardiogram Patterns Recognition in the Presence of Non-Trivial Artifacts.

Perception and automatic detection of wind-induced microphone noise (2014)
Journal Article
Jackson, I., Kendrick, P., Cox, T., Fazenda, B., & Li, F. (2014). Perception and automatic detection of wind-induced microphone noise. ˜The œJournal of the Acoustical Society of America (Online), 136(3), 1176-1186. https://doi.org/10.1121/1.4892772

Wind can induce noise on microphones, causing problems for users of hearing aids and for those making recordings outdoors. Perceptual tests in the laboratory and via the Internet were carried out to understand what features of wind noise are importan... Read More about Perception and automatic detection of wind-induced microphone noise.

Soft-computing audio classification as a pre-processor for automated content descriptor generation (2014)
Journal Article
Li, F. (2014). Soft-computing audio classification as a pre-processor for automated content descriptor generation. International journal of computer and communication engineering (Online), 3(2), 101-104. https://doi.org/10.7763/IJCCE.2014.V3.300

Soundtracks of multimedia files are information rich sources, from which much content-related information and metadata can be extracted. There exist many individual algorithms for the recognition and analysis of speech, music or event sounds, all... Read More about Soft-computing audio classification as a pre-processor for automated content descriptor generation.

Independent component analysis for motion artifacts removal from electrocardiogram (2013)
Journal Article
Sarfraz, M., & Li, F. (2013). Independent component analysis for motion artifacts removal from electrocardiogram. Global perspectives on artificial intelligence (Online), 1(4), 49-55

A method of using Independent Component Analysis to remove motion induced artifacts in the signals picked up by ECG electrodes is developed in this paper. In a first aid setting, ECG electrodes on patients cannot always keep stationary, resulting in... Read More about Independent component analysis for motion artifacts removal from electrocardiogram.