AU2002234042A1 - Method and apparatus for measuring physiology by means of infrared detector - Google Patents
Method and apparatus for measuring physiology by means of infrared detectorInfo
- Publication number
- AU2002234042A1 AU2002234042A1 AU2002234042A AU3404202A AU2002234042A1 AU 2002234042 A1 AU2002234042 A1 AU 2002234042A1 AU 2002234042 A AU2002234042 A AU 2002234042A AU 3404202 A AU3404202 A AU 3404202A AU 2002234042 A1 AU2002234042 A1 AU 2002234042A1
- Authority
- AU
- Australia
- Prior art keywords
- sub
- area
- temperature
- image
- infrared
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
- A61B5/015—By temperature mapping of body part
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4058—Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
- A61B5/4064—Evaluating the brain
Description
METHOD AND APPARATUS FOR MEASURING
PHYSIOLOGY BY MEANS OF INFRARED DETECTOR
Field of the Invention
The present invention relates generally to a method and apparatus for monitoring the body and, more particularly, concerns a method and apparatus for using an infrared detector to monitor and analyze tissue and organ blood flow and physiology in the brain and other parts of the body.
Background of the Invention Dynamic Area Telethermometry (DAT) is a known concept and described fully in the 1 991 publication of Dr. Michael Anbar, Thermology 3 (4) :234-241 , 1 991 . It is a non-invasive, functional test of the autonomic nervous system, that monitors changes in the spectral structure and spatial distribution of thermoregulatory frequencies (TRF's) over different areas of the human skin. Grounded in the science of blackbody infrared radiation as measured by infrared imaging, DAT derives information on the dynamics of heat generation, transport, and dissipation from changes in the temperature distribution over areas of interest. Changes can be detected in the average temperatures of area segments or in the variances of those averages; the variances measure the homogeneity of the temperature distribution and, therefore, the homogeneity of cutaneous perfusion. As shown by Dr. Anbar in the European J Thermology 7: 1 05-1 1 8, 1 997, under conditions of hyperperf usion the homogeneity reaches a maximum and the amplitude of its temporal modulation is at a minimum. From the periodic
changes in temperature distribution over different skin areas, the thermoregulatory frequencies of the processes that control the temperature in the given areas can be derived.
DAT is useful in the diagnosis and management of a large variety of disorders that affect neurological or vascular function. DAT is used to measure the periodicity of changes in blood perfusion over large regions of skin so as to identify a locally impaired neuronal control, thereby providing a quick and inexpensive screening test for skin cancer and for relatively shallow neoplastic lesions, such as breast cancer. The different clinical applications of DAT are fully described by Dr. Michael Anbar in 1 994 in a monograph entitled "Quantitative and Dynamic Telethermometry in Medical Diagnosis and Management", CRC Press Inc. September, 1 994.
U.S. Patents No. 5,81 0,01 0, No. 5,961 ,466 and No. 5,999,843, all granted to Michael Anbar, the first patent being licensed and the remaining patents being assigned to the assignee of the present patent application, relate to methods and apparatus for cancer detection involving the measurement of temporal periodic changes in blood perfusion, associated with immune response, occurring in neoplastic lesions and their surrounding tissues. Particularly, the method for cancer detection involves the detection of non-neuronal thermoregulation of blood perfusion, periodic changes in the spatial homogeneity of skin temperature, aberrant oscillations of spatial homogeneity of skin temperature and aberrant thermoregulatory frequencies associated with periodic changes in the spatial homogeneity of skin temperature. The disclosures of these three patents are incorporated by reference herein in their entirety. According to a preferred embodiment of the present invention, an infrared camera provides a series of infrared images (frames) of a portion of the human body. A preferred camera is equipped with a focal plane array of gallium arsenide quantum-well infrared photodetectors (QWIP) . Such a camera can record modulation of skin temperature and its homogeneity with a precision greater than ± 1 5 millidegrees C. The infrared images are transmitted to a processor which processes the image into a multiplicity of small sub-areas. In
each sub-area, temperature variation is measured over time and the temperature variation in the sub-area is represented as a temperature code. The temperature codes are then displayed as colors which are displayed in each sub-area in a display of the infrared image. An observer is thereby able to monitor and analyze the physiology of the body. In a preferred embodiment, physiological changes of the brain are observed while different parts of the brain function. However, it will be appreciated that the present invention provides a useful device for cancer detection, comparable to DAT devices.
Brief Description of the Drawings
The foregoing brief description, as well as further objects, features and advantages of the present invention will be understood more completely from the following detailed description of the present invention, with reference being had to the accompanying drawings in which: Figure 1 is a block diagram illustrating both the method and operation of the apparatus of the present invention;
Figure 2 is a copy of a computer screen illustrating an infrared image of a human brain and the use of a computer program for selection of a portion of that image to be processed in accordance with the present invention; Figure 3 is a graph of temperature versus time in a sub-area of the infrared image during a ten second (2000 frame) interval, the temperature being estimated by a best-fit line;
Figure 4 is a graph similar to Fig. 3 showing best-fit lines for various sub-portions of the ten second interval; Figure 5 is a graph similar to Fig. 3 illustrating various portions of the graph being fitted in a piecewise fashion with different best-fit lines;
Figure 6 is a processed image illustrating the average temperature of the infrared image over an entire set of frames;
Figures 7, 8 and 9 are processed images of the brain of the same subject showing brain activity during toe movement, tongue movement and wrist movement, respectively;
Figure 1 0 is a processed image for a patient who is having a seizure;
Figure 1 1 is a temperature waveform diagram illustrating a method for estimating temperature variation in real time; and Figure 1 2 is a flowchart useful in explaining the method employed in figure 1 1 .
Detailed Description of the Preferred Embodiment
Turning now to the details of the preferred embodiment, there will be described a system and method which are used to generate processed images based on images of the brain collected during surgery. When processed in accordance with the invention, the images clearly reveal blood flow as well as physiological changes that occur as different parts of the brain perform functions. The latter is the result of changes in blood perfusion, infrared emissions as the result of changes in metabolic behavior and/or the result of brain chemical or electrochemical changes that occur during or as a result of brain function. Those skilled in the art will appreciate that the method and apparatus can be applied to any organ or tissue, other than the brain. One value of the preferred embodiment is that it maps areas which are activated in tissue or organs during normal activity, and this information can later be used to distinguish between healthy and diseased tissues or organs. The data can be presented as static images or an animation that illustrates changes with time.
Figure 1 is functional block diagram which is representative of both the apparatus and method of the invention. In an infrared camera, an array 1 0 of QWIP infrared sensors is used to form an infrared image of the brain during an operation. The array preferably includes 256 by 256 sensors and captures images at a frame rate of 200 frames per second. Preferably, the brain is imaged for 1 0 seconds. In the preferred embodiment, the resulting infrared image data is saved to the hard drive a computer. At block 1 2, each infrared frame is then broken up into thousands of individual sub-areas over the entire image area (preferably each sub-area is 2
X 2 pixels) . At block 1 4, the temperature variation in each sub-area is determined over some period of time and saved as a code for that area. At block 1 6, the codes for the various sub-areas are displayed in those sub-areas as a color. In the preferred embodiment, the codes represent the slope of a best-fit line representing the temperature variation over a period of time.
Figure 2 is a screen print of a screen of computer program utilized to process the infrared images of the brain. The infrared image of the brain 20 shows the temperature of the brain through a spectrum of colors ranging from black, through green, to red and. Finally to white. As an initial step, an area 22 of the image to be analyzed is (shown in red) selected in the display of one of the frames. In the process, the operator is also able to select the range of temperatures to be displayed, in this case 31 -36°C. The selected area is then broken down into the individual sub-areas.
Figure 3 illustrates the variation of temperature over a 10 second interval of frames (2,000 frames) in a particular sub-area. Figure 3 also illustrates a line 24, which is a best-fit line for the entire waveform shown in Fig. 3. In the preferred embodiment, such a best-fit line is generated for each sub- area, and a code is generated for each sub-area representing the slope of the best-fit line for that sub-area. Each code is then converted to a color, and that color is superimposed on the sub-area in a display of the entire image. Color images such as Figs. 6-10 result.
Figure 6 illustrates an image, in grey scale rendering, showing the average temperature over the entire set of frames. This image reveals some information regarding vascular structure. Figures 7, 8 and 9 are grey scale rendered images of the same subject taken while performing toe, tongue and wrist movement, respectively. In each instance, circles have been drawn around the portions of the brain involved in the respective movement. By taking images such as this, it becomes possible to map various activities of a patient to different areas of the brain. When malfunctions occur, the doctor would then know which portion of the brain to observe when analyzing a patient.
Figure 1 0 illustrates the brain of a patient undergoing a seizure. It should be noted that the area of elevated cellular metabolic activity can be virtually pin-pointed.
Figure 4 illustrates the same waveform of Fig. 3 and shows not only the best fit line 24 corresponding to the full 10 seconds, but shows progressively shorter best-fit lines corresponding to progressively shorter intervals of the waveform. It will be appreciated that rather than having a "still". as shown in Figs. 6-10, it would be possible to have a series of stills or a "video" with successive images illustrating the color corresponding to the code of a successively longer line in Fig. 4. The series of images would then correspond to a video of the brain as its activity changes during different movements or situations.
Figure 5 again shows the waveform of Figs. 3 and 4, but this time being estimated in piecewise fashion by a series of lines 26a, 26b, 26c, 26d, 26e, 26f etc. In this case, the waveform is estimated by a different best-fit line segment during each .5 second interval, and the slopes of those line segments would provide a sequence of codes to be displayed as colors in the corresponding sub-area of the image, yielding a video.
The preferred embodiment has been illustrated as a system in which a display of portion of the body is produced by using temperature variation codes to affect the color of portions of the display. However a useful diagnostic device could be produced without a viewable display. For example, the infrared sensor could view a very small area, such as a spot or blemish on the skin, and a temperature variation code could be generated as an indication of the state of the scanned spot (e.g., presence or absence of cancer) . The value of the code itself could be the output of the device. Alternately, the code could be compared to a threshold and an indication produced, based upon the comparison.
The preferred embodiment has been illustrated as a system in which the video information is stored on a hard drive and then processed to reveal the processed image. Where the processed image is a video, the delay involved in this type of processing would be undesirable, since the video would not be real
time. However, the best quality graphics cards available today would yield a video which is virtually real time. Those skilled in the art will appreciate that readily available processing techniques, such as the use of multi-processor computers and parallel processing could produce results that would be indistinguishable from real time video.
Figure 1 1 illustrates an alternate method for computing temperature slope codes which will produce real time video on virtually any computer, and figure 1 2 is a flowchart useful in describing the method as performed by a computer, in the form of a function SLOPE . Figure 1 1 shows the variation of temperature with time in a particular sub-area starting at time T0. Initially, an operator selects three values D, T and L. D is the rate at which new slope codes are produced and would be selected to achieve a particular video frame rate, such as 1 5-30 frames per second. T and L are the processing intervals, preferably in the range of 1 0 seconds, discussed further below. Function SLOPE starts at block 200, with a timer being set (block 202) at time T0 and the average temperature being computed (block 204) . Should the timer measure an interval D, temperature averaging is interrupted (block 208), and a second version of function SLOPE is launched (block206), temperature averaging resumes. Should the timer measure an interval T, temperature averaging is interrupted (block 208), and the variable F stores the temperature average (block 21 0 and point F1 ).
A timer is then started (block 21 2) and computation of a new temperature average begins (block 214). When the timer measures an interval L, temperature averaging is interrupted (block 21 6), and the variable G stores the temperature average (block 21 8 and point G 1 ). At block 220, temperature slope is then determined as the slope of a line between the two averages F and G, the slope of the line connecting points F1 and G 1 , and the function SLOPE terminates (block 222).
In the mean time, the additional instances of the function SLOPE that were launched continue their processing to completion. For example, a second slope value is produced with respect to points F2 and G2, following an
interval D after the first slope value is produced. The overall effect is that, after an initial delay of T + L, a new slope value is produced for each sub-area at the conclusion of every interval D.
Although preferred embodiments of the invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that many additions, modifications and substitutions are possible, without departing from the scope and spirit of the invention as defined by the accompanying claims.
Claims (20)
1 . A method for measuring the physiology of a living body, comprising the steps of: forming an infrared image of a portion of the body; sub-dividing the infrared image area into a plurality of sub- areas; measuring temperature variation over time in a sub-area and generating a temperature code corresponding to the sub-area, which is representative of the temperature variation in the sub-area; and creating an image of the portion of the body in which a sub- area is represented by a visual feature which is unique to the temperature code corresponding to the sub-area.
2. The method of Claim 1 in which the visual feature is the color of the sub-area.
3. The method of Claim 1 , wherein temperature variation over time is estimated by the slope of a line estimating temperature variation during a predefined interval.
4. The method of Claim 3, wherein the interval is 10 seconds.
5. The method of Claim 1 , wherein the infrared image is formed with a focal plane array of gallium arsenide quantum-well infrared photodetectors.
6. The method of Claim 5, wherein the array includes 256 x 256 photodetectors and captures infrared images at the rate of 20 frames per second.
7. The method of Claim 1 , wherein the created image is static.
8. The method of Claim 1 , wherein the created image is a moving image.
9. An apparatus for measuring the physiology of a living body, comprising: an infrared camera forming an infrared image of a portion of the body; a splitter sub-dividing the infrared image area into a plurality of sub-areas; a temperature processor measuring temperature variation over time in a sub-area and generating a temperature code corresponding to the sub- area, which is representative of the temperature variation in the sub-area; and a display processor creating an image signal effective to produce an image of the portion of the body on a display device in which a sub- area is represented by a visual feature which is unique to the temperature code corresponding to the sub-area.
1 0. The apparatus of Claim 9 in which the visual feature is the color of the sub-area on the display.
1 1 . The apparatus of Claim 9, wherein temperature processor estimates variation over time by the slope of a line estimating temperature variation during a predefined interval.
1 2. The apparatus of Claim 1 1 , wherein the interval is 1 0 seconds.
1 3. The apparatus of Claim 9, wherein the camera comprises a focal plane array of gallium arsenide quantum-well infrared photodetectors on which the infrared image is formed.
1 4. The apparatus of Claim 1 3, wherein the array includes 256 x 256 photodetectors and the camera captures infrared images at the rate of 20 frames per second.
1 5. The method of Claim 9, wherein the camera image is static.
1 6. The method of Claim 9, wherein the camera image is a moving image.
1 7. A method for measuring the physiology of a living body, comprising the steps of: forming an infrared image of a portion of the body; measuring temperature variation over time in a sub-area of the image and generating a temperature code corresponding to the sub-area, which is representative of the temperature variation in the sub-area; and
Using the code as a .physiological indication.
1 8. An apparatus for measuring the physiology of a living body, comprising: an infrared camera forming an infrared image of a portion of the body; a temperature processor measuring temperature variation over time in a sub-area and generating a temperature code corresponding to the sub- area, which is representative of the temperature variation in the sub-area; and a display processor creating a signal effective to produce a viewable representation of the code as a physiological indication.
1 9. The method of any one of claims 1 or 1 7 wherein the measuring step is performed by:
(a) determining the average temperature in the sub-area for an interval T, and storing the average in a variable F;
(b) determining the average temperature in the sub-area for an interval L, and storing the average in a variable G;
(c) determining the temperature code as the slope of a straight line connecting the two averages, F and G; and
(d) repeating steps (a) through (c) upon conclusion of an interval D.
20. The apparatus of any one of claims 9 or 1 8, wherein the temperature processor:
(a) determines the average temperature in the sub-area for an interval T, and storing the average in a variable F;
(b) determines the average temperature in the sub-area for an interval L, and storing the average in a variable G;
(c) determines the temperature code as the slope of a straight line connecting the two averages, F and G; and
(d) repeats steps (a) through (c) upon conclusion of an interval D.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US25583500P | 2000-12-15 | 2000-12-15 | |
US60/255,835 | 2000-12-15 | ||
PCT/US2001/048964 WO2002047542A2 (en) | 2000-12-15 | 2001-12-17 | Method and apparatus for measuring physiology by means of infrared detector |
Publications (1)
Publication Number | Publication Date |
---|---|
AU2002234042A1 true AU2002234042A1 (en) | 2002-06-24 |
Family
ID=22970063
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AU2002234042A Abandoned AU2002234042A1 (en) | 2000-12-15 | 2001-12-17 | Method and apparatus for measuring physiology by means of infrared detector |
Country Status (9)
Country | Link |
---|---|
US (1) | US20040076316A1 (en) |
EP (1) | EP1356418A4 (en) |
JP (1) | JP2004520878A (en) |
KR (1) | KR20030086245A (en) |
CN (1) | CN1527987A (en) |
AU (1) | AU2002234042A1 (en) |
CA (1) | CA2434174A1 (en) |
MX (1) | MXPA03005377A (en) |
WO (1) | WO2002047542A2 (en) |
Families Citing this family (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9848815B2 (en) | 2002-04-22 | 2017-12-26 | Geelux Holdings, Ltd. | Apparatus and method for measuring biologic parameters |
WO2004001373A2 (en) | 2002-04-22 | 2003-12-31 | Marcio Marc Abreu | Apparatus and method for measuring biologic parameters |
US8328420B2 (en) * | 2003-04-22 | 2012-12-11 | Marcio Marc Abreu | Apparatus and method for measuring biologic parameters |
US7214195B2 (en) * | 2003-07-23 | 2007-05-08 | Lockheed Martin Corporation | Method of and apparatus for detecting diseased tissue by sensing two bands of infrared radiation |
US10227063B2 (en) | 2004-02-26 | 2019-03-12 | Geelux Holdings, Ltd. | Method and apparatus for biological evaluation |
KR100588306B1 (en) * | 2005-04-08 | 2006-06-09 | (주) 엑스메드론 | Medical apparatus using sweating by a temperature adjustment |
US7591583B2 (en) * | 2005-05-18 | 2009-09-22 | Federal-Mogul World Wide, Inc. | Transient defect detection algorithm |
EP1951110B1 (en) | 2005-10-24 | 2012-10-03 | Marcio Marc Aurelio Martins Abreu | Apparatus for measuring biologic parameters |
US7732768B1 (en) * | 2006-03-02 | 2010-06-08 | Thermoteknix Systems Ltd. | Image alignment and trend analysis features for an infrared imaging system |
US8600483B2 (en) * | 2006-03-20 | 2013-12-03 | California Institute Of Technology | Mobile in vivo infra red data collection and diagnoses comparison system |
US20090046907A1 (en) * | 2007-08-17 | 2009-02-19 | Siemens Medical Solutions Usa, Inc. | Parallel Execution Of All Image Processing Workflow Features |
US9843743B2 (en) | 2009-06-03 | 2017-12-12 | Flir Systems, Inc. | Infant monitoring systems and methods using thermal imaging |
CN101571886B (en) * | 2009-06-12 | 2011-05-11 | 哈尔滨工业大学 | Simulation design method for material structure of quantum well infrared photodetector |
CN107481217A (en) * | 2009-06-24 | 2017-12-15 | 皇家飞利浦电子股份有限公司 | The space of implantation equipment in object and shape characterization |
DE102010013377B4 (en) * | 2010-03-30 | 2012-02-02 | Testo Ag | Image processing method and thermal imaging camera |
WO2014012070A1 (en) * | 2012-07-12 | 2014-01-16 | Flir Systems, Inc. | Infant monitoring systems and methods using thermal imaging |
CN102973253B (en) * | 2012-10-31 | 2015-04-29 | 北京大学 | Method and system for monitoring human physiological indexes by using visual information |
CN103892793B (en) * | 2012-12-25 | 2016-06-01 | 联想(北京)有限公司 | A kind of control method and a kind of electronics |
CN103126655B (en) * | 2013-03-14 | 2014-10-08 | 浙江大学 | Non-binding goal non-contact pulse wave acquisition system and sampling method |
JP6379463B2 (en) * | 2013-09-18 | 2018-08-29 | 株式会社島津製作所 | Waveform processing support method and waveform processing support device |
AU2014331655A1 (en) | 2013-10-11 | 2016-05-26 | Marcio Marc Abreu | Method and apparatus for biological evaluation |
JP2017501844A (en) | 2014-01-10 | 2017-01-19 | マーシオ マーク アブリュー | Device for measuring the infrared output of an Abreu brain thermal tunnel |
CN106102570A (en) | 2014-01-10 | 2016-11-09 | 马尔西奥·马克·阿布雷乌 | At ABREU brain fever passage, monitor and provide the device of process |
WO2015112776A2 (en) | 2014-01-22 | 2015-07-30 | Marcio Marc Abreu | Devices configured to provide treatment at an abreu brain thermal tunnel |
WO2016099008A1 (en) * | 2014-12-17 | 2016-06-23 | 순천대학교 산학협력단 | System and method for predicting situation of object using image information analysis |
AU2016228998A1 (en) | 2015-03-10 | 2017-09-28 | Marcio Marc Abreu | Devices, apparatuses, systems, and methods for measuring temperature of an ABTT terminus |
WO2017065318A1 (en) * | 2015-10-15 | 2017-04-20 | ダイキン工業株式会社 | Physiological state determination device and physiological state determination method |
CN106530618B (en) * | 2016-12-16 | 2018-12-07 | 深圳市神州云海智能科技有限公司 | A kind of nurse method and device of robot |
US20210076942A1 (en) * | 2019-09-13 | 2021-03-18 | Northwestern University | Infrared thermography for intraoperative functional mapping |
GB2619725A (en) * | 2022-06-14 | 2023-12-20 | Davion Healthcare Plc | System, sensor device, and method for determining differential temperature in breast |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4692615A (en) * | 1985-12-09 | 1987-09-08 | Corning Glass Works | Apparatus and method for monitoring tension in a moving fiber by Fourier transform analysis |
US5337371A (en) * | 1991-08-09 | 1994-08-09 | Matsushita Electric Industrial Co., Ltd. | Pattern classification system |
US5961466A (en) * | 1995-01-03 | 1999-10-05 | Omnicorder Technologies, Inc. | Method of detection of cancerous lesions by their effect on the spatial distribution of modulation of temperature and homogeneity of tissue |
US5999843A (en) * | 1995-01-03 | 1999-12-07 | Omnicorder Technologies, Inc. | Detection of cancerous lesions by their effect on the spatial homogeneity of skin temperature |
JP3390802B2 (en) * | 1995-03-28 | 2003-03-31 | 日本光電工業株式会社 | Respiration monitor |
US6078681A (en) * | 1996-03-18 | 2000-06-20 | Marine Biological Laboratory | Analytical imaging system and process |
US6173068B1 (en) * | 1996-07-29 | 2001-01-09 | Mikos, Ltd. | Method and apparatus for recognizing and classifying individuals based on minutiae |
US6123451A (en) * | 1997-03-17 | 2000-09-26 | Her Majesty The Queen In Right Of Canada, As Represented By The Administer For The Department Of Agiculture And Agri-Food (Afcc) | Process for determining a tissue composition characteristic of an animal |
US6090050A (en) * | 1998-07-16 | 2000-07-18 | Salix Medical, Inc. | Thermometric apparatus and method |
AU4020200A (en) * | 1999-03-22 | 2000-10-09 | Emerge Interactive, Inc. | Early detection of inflammation and infection using infrared thermography |
EP1210684A4 (en) * | 1999-08-09 | 2003-04-23 | Univ Wake Forest | A method and computer-implemented procedure for creating electronic, multimedia reports |
US7724925B2 (en) * | 1999-12-02 | 2010-05-25 | Thermal Wave Imaging, Inc. | System for generating thermographic images using thermographic signal reconstruction |
US6751342B2 (en) * | 1999-12-02 | 2004-06-15 | Thermal Wave Imaging, Inc. | System for generating thermographic images using thermographic signal reconstruction |
US7039220B2 (en) * | 2002-08-14 | 2006-05-02 | C-Scan, L.L.P. | Methods and apparatus for the dimensional measurement of livestock using a single camera |
US7214195B2 (en) * | 2003-07-23 | 2007-05-08 | Lockheed Martin Corporation | Method of and apparatus for detecting diseased tissue by sensing two bands of infrared radiation |
-
2001
- 2001-12-17 JP JP2002549124A patent/JP2004520878A/en active Pending
- 2001-12-17 US US10/450,588 patent/US20040076316A1/en not_active Abandoned
- 2001-12-17 EP EP01985054A patent/EP1356418A4/en not_active Withdrawn
- 2001-12-17 KR KR10-2003-7008053A patent/KR20030086245A/en not_active Application Discontinuation
- 2001-12-17 CN CNA01822606XA patent/CN1527987A/en active Pending
- 2001-12-17 MX MXPA03005377A patent/MXPA03005377A/en unknown
- 2001-12-17 AU AU2002234042A patent/AU2002234042A1/en not_active Abandoned
- 2001-12-17 CA CA002434174A patent/CA2434174A1/en not_active Abandoned
- 2001-12-17 WO PCT/US2001/048964 patent/WO2002047542A2/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
KR20030086245A (en) | 2003-11-07 |
US20040076316A1 (en) | 2004-04-22 |
EP1356418A2 (en) | 2003-10-29 |
WO2002047542A3 (en) | 2002-08-01 |
WO2002047542A2 (en) | 2002-06-20 |
CN1527987A (en) | 2004-09-08 |
MXPA03005377A (en) | 2005-04-08 |
JP2004520878A (en) | 2004-07-15 |
EP1356418A4 (en) | 2005-09-28 |
CA2434174A1 (en) | 2002-06-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20040076316A1 (en) | Method and apparatus for measuring physiology by means of infrared detector | |
JP4083115B2 (en) | Functional brain imaging to discover and evaluate lies and hidden perceptions, and cognitive / emotional responses to information | |
US5999843A (en) | Detection of cancerous lesions by their effect on the spatial homogeneity of skin temperature | |
EP2840957B1 (en) | Optical coherent imaging medical device and method | |
Zhang et al. | Heart rate extraction based on near-infrared camera: Towards driver state monitoring | |
JP6596089B2 (en) | Methods and equipment for use in allergy testing | |
US10993621B2 (en) | Contact-free physiological monitoring during simultaneous magnetic resonance imaging | |
Humeau-Heurtier et al. | Microvascular blood flow monitoring with laser speckle contrast imaging using the generalized differences algorithm | |
Alafeef et al. | Smartphone-based respiratory rate estimation using photoplethysmographic imaging and discrete wavelet transform | |
US11206991B2 (en) | Systems and methods for processing laser speckle signals | |
Di Credico et al. | Estimation of heart rate variability parameters by machine learning approaches applied to facial infrared thermal imaging | |
Rubīns et al. | Photoplethysmography imaging algorithm for continuous monitoring of regional anesthesia | |
Wang et al. | Camera-based respiration monitoring: Motion and PPG-based measurement | |
US20120078114A1 (en) | System and method for real-time perfusion imaging | |
Fleischhauer et al. | Photoplethysmography upon cold stress—impact of measurement site and acquisition mode | |
US8233968B1 (en) | Method and apparatus for high resolution dynamic digital infrared imaging | |
Gauci et al. | Principal component analysis for dynamic thermal video analysis | |
EP3287070B1 (en) | Blood flow dynamic imaging diagnosis device and diagnosis method | |
Blazek et al. | Selected Clinical Applications of Functional PPGI Perfusion Mapping in Dermatology | |
Yokoi et al. | Analysis of blood flow covering a wide region of velocity in laser speckle image sensing | |
Hendrikx et al. | Derivation of visual timing-tuned neural responses from early visual stimulus representations | |
CN110298902B (en) | Medical infrared image reconstruction method, system, computer and storage medium | |
Lee et al. | Evaluation of the methods for pupil size estimation: on the perspective of autonomic activity | |
Agarwal et al. | Contactless Heart Rate Detection Using Eulerian Video Magnification | |
Okubo et al. | Improving driving ability using biofeedback by monitoring the mental situation by RGB camera |