Grand Challenge on Respiratory Sound Classification for SPRSound Dataset

Abstract

It is important to continuously monitor our respiratory system to prevent us from suffering respiratory-releated diseases. This demands for an automatic respiratory sounds software to speed up diagnosis and to reduce the workload of physicians. In the IEEE BioCAS 2022 conference, we have organized the first grand challenge on respiratory sound classification using the paediatric respiratory sound (SPRSound). This event has invited 45 teams with more than 100 open source entries and the top 5 teams are invited to present their works in the IEEE BioCAS 2022.

References

Page 1

	Year	Citations
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary Alberto Fernández, Salvador García, Francisco Herrera, Journal of Artificial Intelligence Research Multiple Instance LearningEngineeringMachine LearningSmote JourneyBusiness Analytics	2018	2K
An open access database for the evaluation of respiratory sound classification algorithms Bruno Rocha, Dimitris Filos, Luís Mendes, Physiological Measurement	2019	275
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning IEEE Transactions on Biomedical Circuits and Systems Convolutional Neural NetworkEngineeringMachine LearningAutoencodersAcoustic Modeling	2020	154
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data María Teresa García-Ordás, José Alberto Benítez‐Andrades, Isaías García-Rodríguez, Sensors Convolutional Neural NetworkEngineeringMachine LearningAutoencodersSpeech Recognition	2020	123
LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm Yi Ma, Xinzi Xu, Qing Yu, Smart Digital StethoscopeConvolutional Neural NetworkEngineeringMachine LearningDiagnostic Imaging	2019	121
A dataset of lung sounds recorded from the chest wall using an electronic stethoscope Mohammad Fraiwan, Luay Fraiwan, Basheer Khassawneh, Data in Brief Stethoscope TechnologyMedical UltrasoundEngineeringThoracic UltrasoundSpeech Recognition	2021	119
Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory Mohammad Fraiwan, Luay Fraiwan, Mohanad Alkhodari, Journal of Ambient Intelligence and Humanized Computing Convolutional Neural NetworkAudio MiningEngineeringHealth SciencesDeep Learning	2021	98
LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation Yi Ma, Xinzi Xu, Yongfu Li Data AugmentationEngineeringMachine LearningHealth SciencesMulti-speaker Speech Recognition	2020	91
Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem? Bruno Rocha, Diogo Pessoa, Alda Marques, Sensors	2020	77
SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database Qing Zhang, Jing Zhang, Jiajun Yuan, IEEE Transactions on Biomedical Circuits and Systems DiagnosisRespiratory SoundSpeech RecognitionData SciencePhonetics	2022	77

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