System for processing respiratory rate
Inventors
Ricci, Carlos A. • Kovtun, Vladimir V. • Mazar, Scott Thomas
Assignees
Interested in licensing this patent?
MTEC can help explore whether this patent might be available for licensing for your application.
Publication Number
US-11701028-B2
Publication Date
2023-07-18
Expiration Date
Abstract
In one aspect, a computer-implemented method includes receiving a signal corresponding to impedance across a patient's chest cavity; filtering the signal using one or more filters that reduce noise and center the signal around a zero baseline; adjusting an amplitude of the filtered signal based on a threshold value; separating the amplitude-adjusted signal into component signals, where each of the component signals represents a frequency-limited band; detecting a fractional phase transition of a component signal of the component signals; selecting a dominant component signal from the component signals based on amplitudes of the component signals at a time corresponding to the detected fractional phase transition; determining a frequency of the dominant component signal at the time corresponding to the detected fractional phase transition; and determining a respiratory rate of the patient based on the determined frequency.
Core Innovation
The invention processes a signal corresponding to impedance across a patient's chest cavity to determine a respiratory rate. The signal is filtered using one or more filters that reduce noise and center the signal around a zero baseline, and an amplitude of the filtered signal is adjusted based on a threshold value.
After amplitude adjustment, the filtered signal is separated into component signals, where each component signal represents a frequency-limited band. A fractional phase transition of a component signal is detected, and a dominant component signal is selected from the component signals based on amplitudes of the component signals at a time corresponding to the detected fractional phase transition.
The frequency of the dominant component signal is determined at the time corresponding to the detected fractional phase transition. The patient's respiratory rate is then determined based on the determined frequency. Dependent refinements include detecting the fractional phase transition using waveform features and optionally computing an average respiratory rate over a time period.
Claims Coverage
The independent claims are clm-00001 and clm-00008. Each independent claim includes six main inventive features: receiving a chest-cavity impedance signal, filtering with noise reduction and zero baseline centering, amplitude adjustment via a threshold, separating into frequency-limited component band signals, detecting a fractional phase transition, and selecting a dominant component and determining its frequency to determine respiratory rate.
Receive chest-cavity impedance signal
Receiving a signal corresponding to impedance across a patient's chest cavity.
Filter to reduce noise and center to zero baseline
Filtering the signal using one or more filters that reduce noise and center the signal around a zero baseline.
Amplitude adjustment based on threshold value
Adjusting an amplitude of the filtered signal based on a threshold value.
Separate into frequency-limited component signals
Separating the amplitude-adjusted signal into component signals, wherein each of the component signals represents a frequency-limited band.
Detect fractional phase transition of a component signal
Detecting a fractional phase transition of a component signal of the component signals.
Select dominant component and determine frequency for respiratory rate
Selecting a dominant component signal from the component signals based on amplitudes of the component signals at a time corresponding to the detected fractional phase transition; determining a frequency of the dominant component signal at the time corresponding to the detected fractional phase transition; and determining a respiratory rate of the patient based on the determined frequency.
Across clm-00001 and clm-00008, the claimed coverage centers on selecting a dominant frequency-limited component at a detected fractional phase transition and computing respiratory rate from the dominant component's determined frequency, following noise-reducing zero-baseline filtering and threshold-based amplitude adjustment.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
Interested in licensing this patent?