Depth Sensing Respiratory Monitoring False Motion Detection
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Solution Overview
Problem
Existing depth sensing based respiratory rate algorithms often mistake coherent noise for respiratory motion, leading to erroneous calculations of respiratory rate even when no actual respiratory motion is present.
Innovation Solution
A computer-implemented method that performs a depth data processing procedure to obtain physiological information, where the method determines the absence of respiratory motion by analyzing depth data and derived signals, and sets a flag to prevent the display of respiratory rate or other parameters in such cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If depth sensing algorithms process respiratory signals to generate respiratory rate values, then physiological monitoring capability is improved, but false readings occur when noise is mistaken for respiratory motion
Solution Approach 1:
The patent applies preliminary action by checking for the presence of a subject in the field of view before processing depth data to generate respiratory rate values. The system performs subject detection as a preliminary step, and only proceeds with respiratory monitoring when a subject is confirmed present. This prevents false readings by ensuring that depth data processing is only performed when actual respiratory motion can occur.
Solution Approach 2:
The patent introduces an intermediary flag variable that mediates between depth data processing and respiratory rate display. The flag acts as a gatekeeper that controls whether respiratory rate values are generated or displayed based on the presence determination. This intermediary mechanism prevents direct processing of depth data when no subject is present, thereby eliminating false respiratory rate readings while maintaining the monitoring capability when subjects are present.
2Difficulty of detecting and measuring
If the system continuously monitors depth data for respiratory motion, then detection capability is improved, but coherent noise is mistakenly identified as respiratory motion
Solution Approach 1:
The system performs preliminary subject presence determination before attempting to detect respiratory motion. By establishing that a subject is present in the field of view as a prerequisite condition, the system avoids the reliability issue of detecting coherent noise as respiratory motion when no subject is actually present.
Solution Approach 2:
The system uses feedback through the flag variable to control the monitoring process. The flag provides feedback about subject presence to the depth data processing stage, creating a closed-loop control system that adjusts processing based on detection results. This feedback mechanism ensures that respiratory motion detection is only performed when justified by actual subject presence, thereby improving reliability.
Data Source
AI summary
A method and system for performing a depth data processing procedure for obtaining physiological information from depth data. The depth processing procedure comprises obtaining depth data representing depth across a field of view, and deriving at least one signal from said depth data. The method further comprises: obtaining further information from at least one of: the depth data and the at least one signal derived from the depth data; using at least said further information to determine an absence of respiratory motion in the field of view; and setting a flag for the depth data processing procedure or a further procedure based on said determination of the absence of respiratory motion in the field of view.