18021366. LUNG SOUND ANALYSIS SYSTEM simplified abstract (NEC Corporation)

From WikiPatents
Jump to navigation Jump to search

LUNG SOUND ANALYSIS SYSTEM

Organization Name

NEC Corporation

Inventor(s)

Masao Higuchi of Tokyo (JP)

Mitsuru Noma of Tokyo (JP)

Reishi Kondo of Tokyo (JP)

Yumi Arai of Tokyo (JP)

LUNG SOUND ANALYSIS SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18021366 titled 'LUNG SOUND ANALYSIS SYSTEM

Simplified Explanation

The lung sound analysis system described in the patent application includes several components:

1. Acquisition means: This component is responsible for acquiring time-series acoustic signals, specifically lung sounds, from a heart failure patient.

2. Detection means: This component is designed to detect abnormal lung sounds from the acquired time-series acoustic signals.

3. Observation acquisition means: This component transmits the analysis object lung sound information, which includes the acquired time-series acoustic signals and the result of the detection, to a terminal device of a medical specialist.

4. Receiving means: This component receives analysis object lung sound information from the terminal device, to which the observation by the medical specialist on the time-series acoustic signals is added.

5. Generation means: This component generates learning data for detecting abnormal lung sounds based on the analysis object lung sound information to which the observation by the medical specialist is added.

Potential applications of this technology:

  • Diagnosis and monitoring of heart failure patients: The lung sound analysis system can be used to detect and analyze abnormal lung sounds in heart failure patients, providing valuable information for diagnosis and monitoring of their condition.
  • Telemedicine and remote patient monitoring: The system allows medical specialists to remotely analyze lung sound information transmitted from patients, enabling telemedicine consultations and remote monitoring of patients' lung health.

Problems solved by this technology:

  • Early detection of heart failure complications: By analyzing lung sounds, the system can detect abnormal sounds associated with heart failure complications at an early stage, allowing for timely intervention and treatment.
  • Objective assessment of lung health: The system provides objective data on lung sounds, reducing reliance on subjective assessments and improving accuracy in diagnosing and monitoring lung conditions.

Benefits of this technology:

  • Improved efficiency and accuracy in diagnosis: The system automates the detection of abnormal lung sounds, assisting medical specialists in making more accurate and efficient diagnoses.
  • Enhanced patient care and management: By facilitating remote monitoring and analysis of lung sounds, the system enables timely interventions and personalized care for heart failure patients, improving their overall management and outcomes.


Original Abstract Submitted

A lung sound analysis system includes an acquisition means for acquiring time-series acoustic signals including lung sounds of a heart failure patient, a detection means for detecting abnormal lung sounds from the acquired time-series acoustic signals, an observation acquisition means for transmitting, to a terminal device of a medical specialist, analysis object lung sound information in which the acquired time-series acoustic signals and a result of the detection are associated with each other, and receiving, from the terminal device, analysis object lung sound information to which an observation by the medial specialist on the time-series acoustic signals is added, and a generation means for generating learning data for detecting abnormal lung sounds on the basis of the analysis object lung sound information to which the observation by the medial specialist is added.