# US 2026/0090772 A1 · System and method for monitoring respiratory rate measurements > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0090772 A1 - Document ID: US20260090772A1 - Status: Published application - Kind: A1 - Application number: 19/312,165 - Filed: 2025-08-27 - Published: 2026-04-02 - Earliest claimed: 2009-10-15 - Assignees: Masimo Corporation - Applicants: Masimo Corporation - Inventors: Ammar Al-Ali; Bilal Muhsin; Michael O'Reilly - Web page: https://patentgrep.com/patent/US20260090772A1 ## CPC - A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms} - A61B 5/0205: Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition - A61B 5/02416: {using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence)} - A61B 5/0803: {Recording apparatus specially adapted therefor} - A61B 5/0816: {Measuring devices for examining respiratory frequency (measuring frequency of electric signals G01R23/00)} - A61B 5/14551: {for measuring blood gases} - A61B 5/343: Potential distribution indication - A61B 5/7221: {Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217)} - A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)} - A61B 7/003: {Detecting lung or respiration noise} - G16H 40/60: for the operation of medical equipment or devices - G16H 40/63: for local operation - G16H 40/67: for remote operation - A61B 5/021: Measuring pressure in heart or blood vessels - A61B 5/024: Measuring pulse rate or heart rate - A61B 5/14542: {for measuring blood gases (A61B5/14551 takes precedence)} - A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate. ## Claims ### Claim at position 1 1-20. (canceled) ### Claim 21 A physiological computing system configured to measure a respiratory rate of a user, the system comprising: an acoustic sensor configured to generate an acoustic signal from monitoring a patient; an optical sensor configured to generate a photoplethysmographic signal from monitoring the patient; one or more hardware processors configured to: receive the acoustic signal from the acoustic sensor and the photoplethysmographic signal from the optical sensor; determine a first respiratory rate measurement for the patient from the acoustic signal and a second respiratory rate measurement for the patient from the photoplethysmographic signal; determine a combined respiratory rate measurement for the patient from the first respiratory rate measurement and the second respiratory rate measurement; and output the combined respiratory rate measurement; and a display configured to present the combined respiratory rate measurement. ### Claim 22 (depends on 21) The physiological computing system of claim 21, wherein the one or more hardware processors are configured to: determine the combined respiratory rate measurement from the first respiratory rate measurement and the second respiratory rate measurement when the first respiratory rate measurement and the second respiratory rate measurement are all within a tolerance from one another; and determine the combined respiratory rate measurement from one but not both of the first respiratory rate measurement and the second respiratory rate measurement when the two are not within the tolerance from one another. ### Claim 23 (depends on 21) The physiological computing system of claim 21, wherein the one or more hardware processors are configured to determine the first respiratory rate measurement further from the second respiratory rate measurement. ### Claim 24 (depends on 21) The physiological computing system of claim 21, wherein the one or more hardware processors are configured to determine the combined respiratory rate measurement further from an age, a gender, or a comorbidity of the patient. ### Claim 25 (depends on 21) The physiological computing system of claim 21, wherein the one or more hardware processors are configured to trigger an alarm responsive to the combined respiratory rate measurement. ### Claim 26 (depends on 21) The physiological computing system of claim 21, wherein the acoustic sensor is configured generate the acoustic signal from monitoring a neck or a chest of the patient. ### Claim 27 (depends on 21) The physiological computing system of claim 21, wherein the optical sensor is configured generate the photoplethysmographic signal from monitoring a digit of the patient. ### Claim 28 (depends on 21) The physiological computing system of claim 21, wherein the acoustic sensor comprises a piezoelectric device. ### Claim 29 (depends on 21) The physiological computing system of claim 21, wherein the acoustic sensor comprises an attachment sub-assembly configured to support a piezoelectric device, and the attachment sub-assembly comprises a first elongate portion, a second elongate portion, and adhesive on the first elongate portion and the second elongate portion, the adhesive being configured to secure the attachment sub-assembly to a skin of the patient. ### Claim 30 A physiological monitoring method for measuring a respiratory rate of a user, the method comprising: generating, by an acoustic sensor, an acoustic signal from monitoring the user; generating, by an optical sensor, a photoplethysmographic signal from monitoring the user; determining, by one or more hardware processors, a first respiratory rate measurement for the user from the acoustic signal and a second respiratory rate measurement for the user from the photoplethysmographic signal; determining, by the one or more hardware processors, a combined respiratory rate measurement for the user from the first respiratory rate measurement and the second respiratory rate measurement; and presenting, by a display, the combined respiratory rate measurement; ### Claim 31 (depends on 30) The physiological monitoring method of claim 30, wherein said determining the combined respiratory rate measurement comprises determining the combined respiratory rate measurement by weighting the first respiratory rate measurement and the second respiratory rate measurement.