Plethysmograph pulse recognition processor

Patent metadata

Field	Value
Publication number	US-9675286-B2
Application number	US-201113196220-A
Country	US
Kind code	B2
Filing date	Aug 2, 2011
Priority date	Dec 30, 1998
Publication date	Jun 13, 2017
Grant date	Jun 13, 2017

Abstract

A time domain rule-based processor provides recognition of pulses in a pulse oximeter-derived waveform.

First claim

What is claimed is:

1. A method of determining a pulse rate measurement of a monitored patient from a signal responsive to light absorption by tissue of the monitored patient, said method comprising:
receiving data from a plurality of sensors including a noninvasive optical sensor, wherein said data is responsive to light attenuated by tissue;
electronically processing said data using an electronic signal processor including:
identifying candidate pulses from the received data based on a triangular wave model;
extracting pulse features from the identified candidate pulses;
determining physiologically acceptable pulses from the identified candidate pulses based on the extracted pulse features;
extracting one or more pulse statistics from the determined physiologically acceptable pulses, wherein said one or more pulse statistics represent a confidence associated with the physiologically acceptable pulses;
selecting a pulse rate from pulse measurements derived from the plurality of sensors based on the extracted one or more pulse statistics representing the confidence associated with the physiologically acceptable pulses; and
displaying the selected pulse rate,
wherein said one or more pulse statistics comprise pulse density.

2. The method of claim 1 , wherein said pulse statistics comprise at least one of median value of pulse periods, signal strength of pulses, and signal strength confidence level.

3. A system for determining a rate measurement of a monitored patient from a signal responsive to light absorption by tissue of a monitored patient, said system comprising an electronic signal processor configured to:
receive data from a plurality of sensors including a noninvasive optical sensor, wherein said data is responsive to light attenuated by tissue, wherein said tissue may vary in optical density over time due to volumetric changes;
identify candidate pulses from the received data based on a triangular wave model;
extract pulse features from the identified candidate pulses;
determine physiologically acceptable pulses from the identified candidate pulses based on the extracted pulse features;
calculate one or more pulse statistics of the determined physiologically acceptable pulses;
select a pulse rate from pulse measurements derived from the plurality of sensors based on the calculated one or more pulse statistics of the determined physiologically acceptable pulses; and
display the selected pulse rate,
wherein the one or more pulse statistics comprise pulse density.

4. The system of claim 3 , wherein the pulse features comprise at least one of the following: pulse starting point, period, and signal strength.

Assignees

• Diab Mohamed K
• Masimo Corp

Inventors

• Diab Mohamed K

Classifications

• A61B5/02416

  using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence) · CPC title

• A61B5/14551 Primary

  for measuring blood gases · CPC title

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title