Real-time detection of ventilatory maneuvers by a microcomputer.

Area of Science:

• Pulmonary Function Testing
• Medical Software Development
• Respiratory Physiology

Background:

• Accurate measurement of respiratory parameters is crucial for diagnosing and monitoring lung diseases.
• Manual data processing from ventilatory tests can be time-consuming and prone to errors.
• Automated systems can enhance the efficiency and reliability of pulmonary function testing.

Purpose of the Study:

• To introduce the SYTER software system for automated processing of ventilatory test data.
• To describe the algorithms employed for real-time waveform analysis.
• To demonstrate the system's capability in controlling maneuvers and storing significant data.

Main Methods:

• Development of the SYTER software system around an Apple II microcomputer.
• Implementation of real-time data recognition using assembly language routines.
• Integration of a volume signal display for operator guidance during tests.
• Utilizing algorithms for waveform analysis of expiratory maneuvers, panting maneuvers, and lung volume measurements.

Main Results:

• SYTER system successfully automates data processing for three key ventilatory tests.
• Real-time recognition of test stages and storage of significant data were achieved.
• Waveform analysis algorithms were developed and validated.
• Illustrative displays from the Lung Function Laboratory demonstrate system output.

Conclusions:

• The SYTER software system provides an automated and efficient solution for ventilatory test data analysis.
• Real-time processing and operator feedback enhance the accuracy and control of pulmonary function tests.
• This system facilitates improved data acquisition and analysis in lung function laboratories.