NEWSOUTH INNOVATIONS PTY LIMITED (20240341715). METHOD AND SYSTEMS FOR RESPIRATORY SOUND CLASSIFICATION simplified abstract

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METHOD AND SYSTEMS FOR RESPIRATORY SOUND CLASSIFICATION

Organization Name

NEWSOUTH INNOVATIONS PTY LIMITED

Inventor(s)

Hao Xue of Melbourne, Victoria (AU)

Flora D. Salim of Melbourne, Victoria (AU)

METHOD AND SYSTEMS FOR RESPIRATORY SOUND CLASSIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240341715 titled 'METHOD AND SYSTEMS FOR RESPIRATORY SOUND CLASSIFICATION

Simplified Explanation

The patent application relates to methods, systems, and computer-readable media for training a feature encoder to encode sound samples, such as respiratory sounds. It also involves training an audio classifier, like a respiratory sound classifier, using the pre-trained feature encoder. Additionally, it covers classifying audio files, such as respiratory sounds, as positive or negative examples of a condition, like a respiratory condition.

  • Training a feature encoder for encoding sound samples
  • Training an audio classifier using the pre-trained feature encoder
  • Classifying audio files as positive or negative examples of a condition

Key Features and Innovation

  • Training a feature encoder for encoding sound samples
  • Training an audio classifier using the pre-trained feature encoder
  • Classifying audio files as positive or negative examples of a condition

Potential Applications

The technology can be applied in various fields such as healthcare, telemedicine, medical diagnostics, and research.

Problems Solved

The technology addresses the need for efficient encoding and classification of sound samples, particularly in the context of respiratory sounds and conditions.

Benefits

  • Improved accuracy in classifying respiratory sounds
  • Enhanced efficiency in encoding and classifying sound samples
  • Potential for early detection and diagnosis of respiratory conditions

Commercial Applications

  • Healthcare industry for respiratory sound analysis
  • Telemedicine platforms for remote diagnosis
  • Research institutions for studying respiratory conditions

Prior Art

Readers can explore prior research on feature encoding, audio classification, and respiratory sound analysis in the medical and technology fields.

Frequently Updated Research

Researchers are constantly developing new methods and technologies for improving the accuracy and efficiency of sound sample encoding and classification, particularly in the context of respiratory conditions.

Questions about the Technology

What are the potential commercial applications of this technology?

The potential commercial applications include healthcare, telemedicine, and research industries.

How does this technology improve the classification of respiratory sounds?

This technology improves classification accuracy by training a feature encoder and an audio classifier for efficient encoding and classification of sound samples.


Original Abstract Submitted

described embodiments relate to methods, systems, and computer-readable media for training a feature encoder for encoding sound samples, such as respiratory sounds. some embodiments further relate to methods, systems, and computer-readable media for training an audio classifier, such as a respiratory sound classifier, using the pre-trained feature encoder. some embodiments relate to methods, systems, and computer-readable media for classifying a sample of an audio file, such as a respiratory sound, as being a positive example or a negative example of a condition, such as a respiratory condition.

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