Bimodal Capacitive Respiration Sensor for Tidal Volume Measurement

The patent divides the respiration measurement function into multiple independent capacitive sensors, each measuring different aspects of respiratory motion (e.g., lateral expansion, anterior-posterior expansion). This segmentation allows each sensor to capture specific respiratory components while collectively providing comprehensive tidal volume measurement, resolving the contradiction between measurement precision and device complexity.

The patent transitions from single-dimensional measurement to multi-dimensional measurement by deploying capacitive sensors in different spatial orientations (lateral, anterior-posterior, vertical dimensions). This dimensional expansion enables accurate three-dimensional respiratory volume calculation while maintaining relatively simple individual sensor designs, thus resolving the technical contradiction.

The patent implements preliminary threshold comparison of capacitance signals before full extrapolation processing. By pre-filtering signals that fall outside physiological respiration thresholds, the system eliminates obviously invalid data early in the processing chain, reducing the computational burden on subsequent extrapolation algorithms and thereby managing processing complexity while maintaining measurement precision.

The patent employs self-calibration and automatic threshold adaptation mechanisms where the system learns normal respiration patterns from initial measurements and automatically adjusts thresholds. This self-service approach reduces the need for manual calibration and complex preset parameters, managing processing complexity while improving measurement precision through adaptive signal validation.