US 12,220,207 B2
Non-contact core body temperature measurement systems and methods
Valery G. Telfort, Irvine, CA (US); and Ammar Al-Ali, San Juan Capistrano, CA (US)
Assigned to Masimo Corporation, Irvine, CA (US)
Filed by Masimo Corporation, Irvine, CA (US)
Filed on Feb. 26, 2020, as Appl. No. 16/802,351.
Claims priority of provisional application 62/840,584, filed on Apr. 30, 2019.
Claims priority of provisional application 62/810,718, filed on Feb. 26, 2019.
Prior Publication US 2020/0275841 A1, Sep. 3, 2020
Int. Cl. A61B 5/01 (2006.01); A61B 5/00 (2006.01); G01J 5/00 (2022.01)
CPC A61B 5/01 (2013.01) [A61B 5/0075 (2013.01); A61B 5/7203 (2013.01); A61B 5/7221 (2013.01); A61B 5/742 (2013.01); A61B 2560/0223 (2013.01); G01J 5/00 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A temperature measurement system for non-contact estimation of a core body temperature of a patient, the system comprising:
a first temperature sensor comprising an infrared sensor, the first temperature sensor configured to detect infrared radiation from a skin surface of a patient when the first temperature sensor is distanced from the patient;
a second temperature sensor different than the first temperature sensor, the second temperature sensor configured to detect an ambient air temperature of an area surrounding the patient; and
a hardware processor programmed to execute software instructions to:
access a first set of data from the first temperature sensor, the first set of data based on infrared radiation from the skin surface of the patient detected by the first temperature sensor, the first set of data representative of a surface temperature of the patient;
calculate a mean surface temperature of the patient from the first set of data, the first set of data comprising a data subset;
exclude a portion of the first set of data from the data subset within the first set of data based on differences between the mean surface temperature and data values of the portion of the first set of data exceeding a threshold, the threshold being based on a standard deviation of a distribution of differences between the mean surface temperature and data values of the first set of data;
calculate another mean surface temperature of the patient from the data subset within the first set of data without the excluded portion of the first set of data;
access a second set of data from the second temperature sensor, the second set of data representative of the ambient air temperature of the area surrounding the patient; and
determine a core body temperature of the patient based at least in part on the another mean surface temperature and the second set of data.