A performance comparison of wheeze feature extraction methods for asthma severity levels classification

A performance comparison of wheeze feature extraction methods for asthma severity levels classification

Asthma is a chronic disease that requires monitoring and treatment throughout the patient's lifetime. The common adventitious sounds related to asthma are wheezes. A study that has classified the severity of asthma using wheezes are still lacking in the field, therefore, the purpose of this wor...

Bibliografiset tiedot
Päätekijät:	Syamimi Mardiah, Shaharum, Sundaraj, Kenneth, Shazmin, Aniza, Palaniappan, Rajkumar, Helmy, Khaled
Aineistotyyppi:	Conference or Workshop Item
Kieli:	English
Julkaistu:	IEEE 2019
Aiheet:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Linkit:	http://umpir.ump.edu.my/id/eprint/25686/1/A%20performance%20comparison%20of%20wheeze%20feature%20extraction%20methods%20.pdf

Samankaltaisia teoksia

Let’s tasmik mobile apps : Quran tasmik application using deep learning
Tekijä: Nor Nabilah, Mustapha, et al.
Julkaistu: (2021)

Integration design of 2.4 ghz microstrip patch with siw antenna structure
Tekijä: Panerselvan, Kamleshvari, et al.
Julkaistu: (2022)

Classification of EEG-based auditory evoked potentials using entropy-based features and machine learning techniques
Tekijä: Islam, Thamina, et al.
Julkaistu: (2023)

The classification of heart murmurs: The identification of significant time domain features
Tekijä: Cheng, Wai Kit, et al.
Julkaistu: (2020)

PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm
Tekijä: Muhamad Zahim, Sujod, et al.
Julkaistu: (2024)

Signal-based feature extraction for makhraj emission point classification
Tekijä: Nurul Wahidah, Arshad, et al.
Julkaistu: (2022)

Relation Between EMG Signal Activation and Time Lags Using Feature Analysis During Dynamic Contraction
Tekijä: Ahamed, Nizam Uddin, et al.
Julkaistu: (2015)

Classification of Facial Nerve Paralysis Based on Regional Evaluation
Tekijä: Wan Syahirah, Wan Samsudin, et al.
Julkaistu: (2020)

A comparative analysis of four classification algorithms for university students performance detection
Tekijä: Dipta, Das, et al.
Julkaistu: (2019)

Introduction of Static and Dynamic Features to Facial Nerve Paralysis Evaluation
Tekijä: Wan Syahirah, Wan Samsudin, et al.
Julkaistu: (2021)

Automatic detection of diabetic retinopathy retinal images using artificial neural network
Tekijä: Syamimi Mardiah, Shaharum, et al.
Julkaistu: (2019)

Age Related Differences in the Surface EMG Signals on Adolescent's Muscle during Contraction
Tekijä: Ahamed, Nizam Uddin, et al.
Julkaistu: (2016)

Parameter optimization for wheeze detection
Tekijä: Yong, Clarissa Mei Hui
Julkaistu: (2019)

Design of Ultra-Wideband (UWB) horn antenna for non-destructive fruit quality monitoring
Tekijä: Siti Fatihah, hazali, et al.
Julkaistu: (2018)

Comparison of filtering methods for extracting transient facial wrinkle features
Tekijä: Rosdiyana, Samad, et al.
Julkaistu: (2018)

Development of Fuzzy Inference System for Automatic Tea Making
Tekijä: Ahamed, Nizam Uddin, et al.
Julkaistu: (2017)

Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
Tekijä: Zahari, Taha, et al.
Julkaistu: (2018)

Partial discharge classifications: Review of recent progress
Tekijä: Raymond, W.J.K., et al.
Julkaistu: (2015)

Human behaviors classification using deep learning technique
Tekijä: Shun, Cheang Chi, et al.
Julkaistu: (2022)

An accurate characterization of different water properties using resonant method for underwater communication activity
Tekijä: Salwa, Awang Akbar, et al.
Julkaistu: (2018)

Classification of eyelid position and eyeball movement using EEG signals
Tekijä: Ramli, R., et al.
Julkaistu: (2015)

Investigation of traffic sign image classification for self driving car
Tekijä: Farra Herliena, Md Zin, et al.
Julkaistu: (2022)

A systematic review of deep learning microalgae classification and detection
Tekijä: Madkour, Dina M., et al.
Julkaistu: (2023)

Investigation Of Traffic Sign Image Classification For Self Driving Car
Tekijä: Farra Herliena, Md Zin
Julkaistu: (2022)

Fish Segmentation And Classification For Large Scale Dataset From Turkey
Tekijä: Nur Amirah Shafiqah, Salleh
Julkaistu: (2022)

The classification of skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation
Tekijä: Ibrahim, Muhammad Ar Rahim, et al.
Julkaistu: (2020)

Flat lens design using phase correction technique for horn antenna applications
Tekijä: Nur Hazimah Syazana, Abdul Razak, et al.
Julkaistu: (2021)

Design of T-shaped UWB antenna with dual band rejection using inverted u- and c-shaped slots
Tekijä: Salwa, Awang Akbar, et al.
Julkaistu: (2018)

Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function
Tekijä: Choong, Chun Sern, et al.
Julkaistu: (2022)

A fuzzy expert system for classification of short duration voltage disturbances
Tekijä: Mahdiraji, G.A., et al.
Julkaistu: (2012)

Study of vision based traffic congestion classification monitoring system (vbtccms)
Tekijä: Shamrao, Ramasamy
Julkaistu: (2022)

Analysis Of Personal Protective Equipment Classification Method Using Deep Learning
Tekijä: Siti Zahrah Nur Ain, Silopung
Julkaistu: (2022)

Combining deep and handcrafted image features for MRI brain scan classification
Tekijä: Hasan, Ali M., et al.
Julkaistu: (2019)

Formulate Feature Point Criterion For Estimation Telepointer Landmark
Tekijä: Muhammad Aziq Syauqi, Hamidun
Julkaistu: (2022)

Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing
Tekijä: Wang, Hoa, et al.
Julkaistu: (2020)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
Tekijä: Jothi Letchumy, Mahendra Kumar, et al.
Julkaistu: (2021)

The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models
Tekijä: Muhammad Nur Aiman, Shapiee, et al.
Julkaistu: (2020)

Filter-based fingerprint feature extraction
Tekijä: Amnani, Ali
Julkaistu: (2009)

An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval
Tekijä: Slamet, Slamet, et al.
Julkaistu: (2022)

Investigation of the EMG-Time Relationship of the Biceps Brachii Muscle During Contractions
Tekijä: Ahamed, Nizam Uddin, et al.
Julkaistu: (2015)