Lung function curve prediction method and apparatus

ChangeBridge: Patent Apps - Health Informatics (G16H)

Detected March 26th, 2026

Summary

The USPTO has published a patent application detailing a method and apparatus for predicting lung function curves. The invention uses a Taylor series expansion to model the relationship between flow rates at different sampling points, enabling prediction of true lung function curve data from a finite set of points.

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What changed

This document is a patent application (US20260088182A1) filed by the USPTO, describing a novel method and apparatus for predicting lung function curves. The core innovation lies in constructing a prediction model using a Taylor series expansion of an N-variable Kth-order equation to represent the relationship between flow rates at various sampling points on the curve. This approach aims to predict true lung function curve data using a limited number of valid data points.

While this is a patent application and not a regulatory rule, it signifies potential future technological advancements in respiratory health monitoring. Companies involved in developing diagnostic tools, medical devices, or health informatics software related to pulmonary function testing may find this technology relevant. Compliance officers should note that the filing date was May 23, 2025, and the publication date is March 26, 2026. No immediate compliance actions are required, but it indicates a direction of innovation in the field.

Source document (simplified)

← USPTO Patent Applications

PREDICTION METHOD AND PREDICTION APPARATUS FOR LUNG FUNCTION CURVE AND STORAGE MEDIUM

Application US20260088182A1 Kind: A1 Mar 26, 2026

Inventors

Jingping ZHENG, Mingjun HE, Qingsheng WU, Yishi LI, Haimin LIU, Zhufeng WANG

Abstract

The present disclosure provides a prediction method and prediction apparatus for a lung function curve and a storage medium. The prediction method includes: obtaining a flow rate at M sampling points; and inputting the flow rate at the M sampling points into a prediction model; and the construction of the prediction model includes: constructing a Taylor series expansion of an N-variable Kth-order equation, and representing, through the Taylor series expansion, a relationship between a flow rate at a tth sampling point of a lung function curve and a flow rate at N sampling points preceding the tth sampling point. In the above technical solution, a finite number of valid data points can be used to predict true lung function curve data.