Detecting febrile seizure with a thermal video camera

US9521335B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9521335-B2
Application numberUS-201414306817-A
CountryUS
Kind codeB2
Filing dateJun 17, 2014
Priority dateJun 17, 2014
Publication dateDec 13, 2016
Grant dateDec 13, 2016

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  5. First independent claim

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Abstract

Official abstract text for this publication.

What is disclosed is a system and method for detecting febrile seizure using a thermal video camera. In one embodiment, a video is received comprising time-sequential thermal images of a subject. The video is acquired of the subject in real-time using a thermal video system. Each thermal image comprises a plurality of pixels with an intensity value of each pixel corresponding to a temperature. The thermal images are processed to determine an occurrence of a febrile seizure. The processing involves identifying a region of interest in the thermal image and determining a temperature for the region of interest based on values of the pixels isolated in that region of interest. Thereafter, a rate of change of temperatures is obtained for the subject in real-time on a per-frame basis. If the rate of change is determined to have exceeded a pre-defined threshold level, then the subject is having a febrile seizure.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for detecting febrile seizure using a thermal video device, the method comprising: receiving a video comprising time-sequential frames of thermal images of a subject being monitored for febrile seizure, said video being acquired by a thermal video system, each thermal image comprising a plurality of pixels, an intensity value of each pixel corresponding to a surface temperature; and processing thermal images to determine an occurrence of a febrile seizure, said processing comprising: isolating pixels associated with at least one region of interest; determining a temperature for the subject based on values of said pixels isolated in said region of interest; determining a rate of change of said subject's temperature; and in response to said rate of change exceeding a threshold level, determining that said subject is having a febrile seizure. 2. The method of claim 1 , wherein said thermal video system is any of: a single-band infrared video camera, a multi-band infrared video camera in the thermal range, and a multi-spectral infrared video camera in the thermal range. 3. The method of claim 1 , wherein pixels are isolated in the regions of interest using any of: pixel classification, color, texture, spatial features, spectral information, facial recognition, object identification, pattern recognition, and a user input. 4. The method of claim 1 , wherein determining a temperature for said subject comprises any of: integrating pixel values over at least a portion of said region of interest; and weighted averaging pixel values over at least a portion of said region of interest. 5. The method of claim 1 , further comprising: weighting values of any of said isolated pixels; averaging values of any of said isolated pixels; normalizing values of any of said isolated pixels; and discarding any pixels with intensity values below a level of acceptability. 6. The method of claim 1 , wherein said threshold is based on any of: a rate of fever progression of patients who have had a febrile seizure; and a user input. 7. The method of claim 1 , wherein said determination of febrile seizure further utilizes health vitals of said subject comprising any of: cardiac pulse rate, blood pressure, respiration rate, muscle twitch, a signal from an electrocardiogram (ECG/EKG), and a signal from electroencephalogram (EEG). 8. The method of claim 1 , further comprising determining whether a movement occurred during video acquisition which is likely to adversely impact said temperature determination, comprising any of: analyzing pixels in said thermal image; performing facial recognition on said thermal image; performing object tracking on said thermal image; performing pattern recognition on said thermal image; using a motion detector; and visually observing said subject. 9. The method of claim 8 , wherein, in response to said determination, further comprising any of: adjusting a position of said thermal video system; adjusting a position of said subject; changing a frame rate of said thermal video system; swapping said thermal video system for another thermal video system; ignoring video image frames captured during movement; initiating an alert that movement has occurred; and stopping video acquisition altogether. 10. The method of claim 1 , further comprising communicating said rate of change to any of: a display device, a storage device, a smartphone, a laptop, tablet-PC, a workstation, and a remote device over a network. 11. The method of claim 1 , wherein, in response to said subject having a febrile seizure, initiating a notification comprising any of: an audio message, a text message, an email, a voicemail message, a phone call, a video, an image, and an alert signal. 12. The method of claim 1 , wherein said video is a streaming video and febrile seizure determination occurs in real-time. 13. A thermal video system for detecting febrile seizure using a thermal video device, the system comprising: a video camera a video comprising time-sequential frames of thermal images, each thermal image comprising a plurality of pixels, an intensity value of each pixel corresponding to a surface temperature; and a processor in communication with a memory, said processor executing machine readable instructions for performing: receiving thermal images of a subject being monitored for febrile seizure; isolating pixels associated with at least one region of interest; determining a temperature for said subject based on values associated with said isolated pixels; determining a rate of change of said subject's temperature; and in response to said rate of change exceeding a threshold, determining that said subject is having a febrile seizure. 14. The system of claim 13 , wherein said thermal video system is any of: a single-band infrared video camera, a multi-band infrared video camera in the thermal range, and a multi-spectral infrared video camera in the thermal range. 15. The system of claim 13 , wherein pixels are isolated in the regions of interest using any of: pixel classification, color, texture, spatial features, spectral information, facial recognition, object identification, pattern recognition, and a user input. 16. The system of claim 13 , wherein determining a temperature for said subject comprises any of: integrating pixel values over at least a portion of said region of interest; and weighted averaging pixel values over at least a portion of said region of interest. 17. The system of claim 13 , further comprising: weighting values of any of said isolated pixels; averaging values of any of said isolated pixels; normalizing values of any of said isolated pixels; and discarding any pixels with intensity values below a level of acceptability. 18. The system of claim 13 , wherein said threshold is based on any of: a rate of fever progression of patients who have had a febrile seizure; and a user input. 19. The system of claim 13 , wherein said determination of febrile seizure further utilizes health vitals of said subject comprising any of: cardiac pulse rate, blood pressure, respiration rate, muscle twitch, a signal from an electrocardiogram (ECG/EKG), and a signal from an electroencephalogram (EEG). 20. The system of claim 13 , further comprising determining whether a movement occurred during video acquisition which is likely to adversely impact said temperature determination, comprising any of: analyzing pixels in said thermal image; performing facial recognition on said thermal image; performing object tracking on said thermal image; performing pattern recognition on said thermal image; using a motion detector; and visually observing said subject. 21. The system of claim 20 , wherein, in response to said determination, further comprising any of: adjusting a position of said thermal video system; adjusting a position of said subject; changing a frame rate of said thermal video system; swapping said thermal video system for another thermal video system; ignoring video image frames captured during movement; initiating an alert that movement has occurred; and stopping video acquisition altogether. 22. The system of claim 13 , further comprising communicating said rate of change to any of: a display device, a storage device, a smartphone, a laptop, tablet-PC, a workstation, and a remote device over a network. 23. The system of claim 13 , wherein, in response to

Assignees

Inventors

Classifications

  • G01J5/10Primary

    using electric radiation detectors · CPC title

  • Camera processing pipelines; Components thereof · CPC title

  • from thermal infrared radiation · CPC title

  • Physics · mapped topic

  • involving temporal comparison · CPC title

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What does patent US9521335B2 cover?
What is disclosed is a system and method for detecting febrile seizure using a thermal video camera. In one embodiment, a video is received comprising time-sequential thermal images of a subject. The video is acquired of the subject in real-time using a thermal video system. Each thermal image comprises a plurality of pixels with an intensity value of each pixel corresponding to a temperature. …
Who is the assignee on this patent?
Xerox Corp
What technology area does this patent fall under?
Primary CPC classification G01J5/10. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 13 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).