Patent
Hand-held medical-data capture-device having a digital infrared sensor with no A/D converter and having interoperation with electronic medical record systems on a specific segment of a network
| العنوان: | Hand-held medical-data capture-device having a digital infrared sensor with no A/D converter and having interoperation with electronic medical record systems on a specific segment of a network |
|---|---|
| Patent Number: | 9,872,620 |
| تاريخ النشر: | January 23, 2018 |
| Appl. No: | 14/586873 |
| Application Filed: | December 30, 2014 |
| مستخلص: | In one implementation, an apparatus estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point is described, estimates temperature from a digital infrared sensor and determines vital signs from a solid-state image transducer, or determines vital signs from a solid-state image transducer and estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point; after which the estimated and/or determined information is transmitted to an external database. |
| Inventors: | Gross, Irwin (Boca Raton, FL, US); Smith, Michael G. (Austin, TX, US); Khachaturian, Mark (Boca Raton, FL, US); Crawley, Martin (Belfast, GB); Gerst, Steven (Boca Raton, FL, US); Barrett, John (Cork, IE); Cronin, Michael (Cork, IE); Turnbull, Derek (Cork, IE); Bodnick, Jason (Boca Raton, FL, US) |
| Assignees: | ARC DEVICES, LTD (Galway, IE) |
| Claim: | 1. A non-touch thermometer to measure a temperature, the non-touch thermometer comprising: a microprocessor; a wireless communication subsystem that is operably coupled to the microprocessor and that is operable to transmit a representation of the temperature; a battery operably coupled to the microprocessor; and a digital infrared sensor operably coupled to the microprocessor with no analog-to-digital converter operably coupled between the digital infrared sensor and the microprocessor, the digital infrared sensor having only digital readout ports, the digital infrared sensor comprising a low noise amplifier, an analog-to-digital converter, a digital signal processor, and a pulse width modulator (PWM) in a single industry standard package; wherein the digital infrared sensor is configured with no need for recalibration after an initial factory calibration with an emissivity range from 0.1 to 1.0, wherein the microprocessor is operable to receive from the digital readout ports a digital signal that is representative of an infrared signal detected by the digital infrared sensor and the microprocessor is operable to determine the temperature from the received digital signal by using the PWM. |
| Claim: | 2. The non-touch thermometer of claim 1 , wherein a display device is operably coupled to the microprocessor and further comprises: a green traffic light operable to indicate that the temperature is good; an amber traffic light operable to indicate that the temperature is low; and a red traffic light operable to indicate that the temperature is high. |
| Claim: | 3. The non-touch thermometer of claim 1 , wherein the temperature further comprises a body core temperature and wherein determining the body core temperature is based on a cubic relationship representing three thermal ranges between a numerical representation of electromagnetic energy of an external source point and the body core temperature, wherein the cubic relationship includes a coefficient representative of different relationships between the external source point and the body core temperature in the three thermal ranges. |
| Claim: | 4. The non-touch thermometer of claim 1 , the microprocessor further comprising: a camera operably coupled to the microprocessor and providing at least two images to the microprocessor; and a pixel-examination-module configured to examine pixel values of the at least two images, a temporal-variation module to determine temporal variation of the pixel values between the at least two images being below a particular threshold, a signal processing module configured to amplify the temporal variation resulting in amplified temporal variation, and a visualizer to visualize a pattern of flow of blood in the amplified temporal variation in the at least two images. |
| Claim: | 5. The non-touch thermometer of claim 4 further comprising: including a cropper that is operable to receive at least two images and operable to crop the images to exclude a border area of the images, generating at least two cropped images. |
| Claim: | 6. The non-touch thermometer of claim 1 further comprising: the digital infrared sensor having no analog sensor readout ports. |
| Claim: | 7. The non-touch thermometer of claim 1 wherein the wireless communication subsystem transmits to a static Internet Protocol address in order to reduce Internet Protocol discovery burden on the non-touch thermometer. |
| Claim: | 8. The non-touch thermometer of claim 1 wherein the non-touch thermometer does not support specific discovery protocols or domain name service. |
| Claim: | 9. The non-touch thermometer of claim 1 wherein a connection is established and data is pushed from the non-touch thermometer through the wireless communication subsystem, thereafter an external device controls flow of the data between the non-touch thermometer and the external device, wherein the connection further comprises: an authenticated communication channel. |
| Claim: | 10. The non-touch thermometer of claim 1 , wherein the wireless communication subsystem transmits through an Internet Protocol tunnel. |
| Claim: | 11. The non-touch thermometer of claim 1 , wherein the wireless communication subsystem further comprises: a component that is operable to transmit a representation of date and time, operator identification, patient identification and manufacturer, model number and firmware revision of the non-touch thermometer. |
| Patent References Cited: | 4315150 February 1982 Darringer et al. 4322012 March 1982 Conti 4602642 April 1986 O'Hara et al. 4797840 January 1989 Fraden 5133605 July 1992 Nakamura 5150969 September 1992 Goldberg et al. 5272340 December 1993 Anbar 5368038 November 1994 Fraden 5743644 April 1998 Kobayashi 6095682 August 2000 Hollander et al. 6286994 September 2001 Boesel et al. 6292685 September 2001 Pompei 6343141 January 2002 Okada et al. 6358216 March 2002 Kraus et al. 6587701 July 2003 Stranc et al. 6742927 June 2004 Bellifemine 6751342 June 2004 Shepard 6757412 June 2004 Parsons 6832000 December 2004 Herman et al. 7092376 August 2006 Schuman 7140768 November 2006 Prabhakar 7339685 March 2008 Carlson et al. 7346386 March 2008 Pompei 7520668 April 2009 Chen 7572056 August 2009 Lane 7787938 August 2010 Pompei 8213689 July 2012 Yagnik et al. 8401285 March 2013 Rezaee et al. 8452382 May 2013 Roth 8493482 July 2013 Cote et al. 8517603 August 2013 Fraden 8527038 September 2013 Moon et al. 8617081 December 2013 Mestha et al. 8693739 April 2014 Weng et al. 8849379 September 2014 Abreu 2001/0005424 June 2001 Marksteiner 2002/0077850 June 2002 McMenimen et al. 2002/0172410 November 2002 Shepard 2004/0013162 January 2004 Beerwerth 2004/0116822 June 2004 Lindsey 2004/0120383 June 2004 Kennedy et al. 2004/0153341 August 2004 Brandt et al. 2004/0193068 September 2004 Burton et al. 2005/0023991 February 2005 Kemper 2006/0209631 September 2006 Melese et al. 2006/0225737 October 2006 Lobbi 2006/0293921 December 2006 McCarthy et al. 2007/0080233 April 2007 Forster et al. 2007/0183475 August 2007 Hutcherson 2008/0175301 July 2008 Chen 2008/0281168 November 2008 Gibson et al. 2009/0100333 April 2009 Xiao 2009/0141124 June 2009 Liu et al. 2009/0172591 July 2009 Pomper 2009/0175317 July 2009 Chan et al. 2009/0196475 August 2009 Demirli et al. 2009/0221880 September 2009 Soderberg et al. 2010/0030577 February 2010 Lawson 2010/0049077 February 2010 Sadleir et al. 2010/0056928 March 2010 Zuzak 2011/0112791 May 2011 Pak et al. 2011/0121978 May 2011 Schworer 2011/0199203 August 2011 Hsu 2011/0228810 September 2011 O'Hara 2011/0228811 September 2011 Fraden 2011/0251493 October 2011 Poh et al. 2011/0276698 November 2011 Bigioi et al. 2011/0286644 November 2011 Kislal 2012/0005248 January 2012 Garudadri et al. 2012/0022348 January 2012 Droitcour et al. 2012/0130251 May 2012 Huff 2012/0130252 May 2012 Pohjanen et al. 2012/0150482 June 2012 Yildizyan et al. 2012/0242844 September 2012 Walker et al. 2013/0006093 January 2013 Raleigh et al. 2013/0035599 February 2013 De Bruijn et al. 2013/0172770 July 2013 Muehlsteff 2013/0204570 August 2013 Mendelson 2013/0211265 August 2013 Bedingham et al. 2013/0215928 August 2013 Bellifemine 2013/0245462 September 2013 Capdevila et al. 2013/0271591 September 2013 Van Leest et al. 2013/0307536 October 2013 Feng et al. 2013/0296716 November 2013 Kurzenberger 2013/0322729 December 2013 Mestha et al. 2013/0342691 December 2013 Lewis et al. 2014/0003461 January 2014 Roth 2014/0003462 January 2014 Roth 2014/0064327 March 2014 Roth 2014/0064328 March 2014 Roth 2014/0064333 March 2014 Roth 2014/0072190 March 2014 Wu et al. 2014/0072228 March 2014 Rubinstein 2014/0072229 March 2014 Wadhwa 2014/0088434 March 2014 Roth 2014/0088435 March 2014 Roth 2014/0088436 March 2014 Roth 2014/0112367 April 2014 Roth 2014/0114600 April 2014 Roth 2014/0155759 June 2014 Walter et al. 2014/0189576 July 2014 Carmi 2014/0232516 August 2014 Stivoric et al. 2014/0253709 September 2014 Bresch et al. 2014/0321505 October 2014 Rill et al. 2015/0088538 March 2015 Dykes et al. 2015/0110153 April 2015 Hoblit et al. 2015/0257653 September 2015 Hyde 2015/0339805 November 2015 Ohba 2016/0035084 February 2016 Khachaturian et al. 19827343 December 1999 2045590 April 2009 2380493 October 2011 2674735 December 2013 2291498 January 1996 2521620 January 2015 1992002792 February 1992 1998001730 January 1998 1999039166 August 1999 1999067611 December 1999 2011063266 May 2011 2012093311 July 2012 |
| Other References: | Bai, J., et al., “Selectively de-animating video,” ACM Transactions on Graphics, (2012). cited by applicant Balakrishnan, Guha, Fredo Durand, and John Guttag. “Detecting pulse from head motions in video.” Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on. IEEE, 2013. cited by applicant Bojanic, S., et al., “Ocular microtremor: a tool for measuring depth of anaesthesia?” British J. Anaestheia, 86(4): 519-522 (2001). cited by applicant Burt, P. and Adelson, E., “The laplacian pyramid as a compact image code,” IEEE Trans. Comm., 31(4): 532-540 (1983). cited by applicant Covidien, Filac 3000 EZ-EZA Electronic Thermometer Operating Manual, 2012, http://www.covidien.com/ImageServer.aspx?contentID=31819&contenttype=application/pdf, retrieved from the Internet on Jul. 24, 2015. cited by applicant Fleet, D.J. and Jepson, A.D., “Computation of component image velocity from local phase information,” Int. J. Comput., Vision 5(1): 77-104 (Sep. 1990). cited by applicant Freeman, W.T., et al., “Motion without movement,” SIGGRAPH Comput. Graph., 25: 27-30 (Jul. 1991). cited by applicant Fuchs, M., et al., “Real-time temporal shaping of high-speed video streams,” Computers & Graphics, 34(5): 575-584 (2010). cited by applicant Gautama, T. and Van Hulle, M., “A phase-based approach to the estimation of the optical flow field using spatial filtering”, Neural Netlvorks, IEEE Transactions, 13(5): 1127-1136 (Sep. 2002). cited by applicant Liu, C., et al., “Motion magnification”, ACAM Trans. Graph., 24: 519-526 (Jul. 2005). cited by applicant Lucas, Bruce D., and Takeo Kanade. “An iterative image registration technique with an application to stereo vision.” IJCAI. vol. 81.1981. cited by applicant Ming-Zher Poh et al. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation, Optics Express, 18(10): 10762-10?74, 2010. cited by applicant Portilla, J. and Simoncelli, E.D., “A parametric texture model based on joint statistics of complex wavelet coefficients,” Int. J. Comput. Vision, 49(1 ): 49-70 (Oct. 2000). cited by applicant Rolfs, M., “Microsaccades: Small steps on a long way,” Vision Res., 49(20): 2415-2441 (2009). cited by applicant Rubinstein, M, “Eulerian Video Magnification” You Tube, http://www.youtube.com/watch?v=ONZcjs1Pjmk, May 23, 2012, 3 pages. cited by applicant Rubinstein, M., et al., “Motion denoising with application to time-lapse photography,” IEEE Computer Vision and Pattern Recognition, CVPR, pp. 313-320 (Jun. 2011). cited by applicant Simoncelli, E.P. and Freeman, W.T., The steerable pyramid: a flexible architecture for multiscale derivative computation, in Proc. of the 1995 Int'l Conf. on Image Proc., IEEE Computer Society,ICIP, Washington, DC, USA, 3: 3444 (1995). cited by applicant Timoner Samson J. Subpixel motion estimation from sequences of video images. Diss. Massachusetts Institute of Technology, 1999. cited by applicant Timoner Samson J., and Dennis M. Freeman. “Multi-image gradient-based algorithms for motion estimation.” Optical engineering 40.9 (2001 ): 2003-2016. cited by applicant Unuma Munetoshi, Ken Anjyo, and Ryozo Takeuchi. “Fourier principles for emotion-based human figure animation.” Proceedings of the 22nd annual conference on Computer graphics and interactive techniques. ACM, 1995. cited by applicant Verkruysse, Wim, Lars 0. Svaasand, and J. Stuart Nelson. “Remote plethysmographic imaging using ambient light.” Optics express 16.26 (2008): 21434-21445. cited by applicant Viola Paul, and Michael J. Jones. “Robust real-time face detection.” International journal of computer vision 57.2 (2004): 137-154. cited by applicant Wadhwa, Neal, et al. “Phase-based video motion processing.” ACM Transactions on Graphics (TOG) 32.4 (2013): 80. cited by applicant Wadhwa, Neal, et al. “Riesz pyramids for fast phase-based video magnification.” Computational Photography (ICCP), 2014 IEEE International Conference on. IEEE, 2014. cited by applicant Wang J., et al., “The cartoon animation filter,” ACM Trans. Graph., 25: 1169-1173 (2006). cited by applicant Wu, H.-Y., et al., “Eulerian video magnification for revealing subtle changes in the world,” ACM Trans. Graph. (Proc. SIGGRAPH), 31 (Aug. 2012). cited by applicant Rose, “Choosing a Thermometer”, Today's Woman Review & Giveaway Blog, Oct. 18, 2015, http://www.todays-woman.net/2015/health-personal-fitness/choosing-a-thermometer/. cited by applicant Edmund Optics, Imaging Electronics 101: Understanding Camera Sensors for Machine Vision Applications, retrieved from Internet on Jan. 11, 2016 at http://www.edmundoptics.com/technical-resources-center/imaging/understanding-camera-sensors-for-machine-vision-applications/. cited by applicant Wikipedia.com, Category: Data Clustering Algorithms, retrieved from the Internet on Jun. 17, 2014 at http://en.wikipedia.org/wiki/Category:Data—clustering—algorithms. cited by applicant Wikipedia.com, Filter (signal processing), retrieved from the Internet on Jun. 17, 2014 at http://en.wikipedia.org/wiki/Filter—(signal—processing). cited by applicant R Fisher. S. Perkins. A. Waiker and E. Wolfart, Frequency Filter, Image Processing Learning Resources, 2003, retrieved from the Internet on Jun. 24, 2014 at http://homepages.inf.ed.ac.uk/rbf/HIPR2/freqfilt.htm. cited by applicant Wikipedia.com, Band-pass filter, retrieved from the Internet on Jul. 7, 2014 at http://en.wikipedia.org/wiki/Band-pass—filter. cited by applicant Wikipedia.com, Low-pass filter, retrieved from the Internet on Jul. 7, 2014 at http://en.wikipedia.org/wiki/Low-pass—filter. cited by applicant Wikipedia.com, High-pass filter, retrieved from the Internet on Jul. 7, 2014 at http://en.wikipedia.org/wiki/High-pass—filter. cited by applicant R Fisher. S. Perkins. A. Waiker and E. Wolfart, Fourier Transform, Image Processing Learning Resources, 2003, retrieved from the Internet on Jul. 7, 2014 at http://homepages.inf.ed.ac.uk/rbf/HIPR2/fourier.htm. cited by applicant Wkipedia.com, Expectation-maximization algorithm, retrieved from the Internet on Jul. 7, 2014 at http://en.wikipedia.org/wiki/Expectation-maximization—algorithm. cited by applicant Wikipedia.com, Fuzzy clustering, retrieved from the Internet on Jul. 7, 2014 at http://en.wikipedia.org/wiki/Fuzzy—clustering. cited by applicant Wikipedia.com, k-means clustering, retrieved from the Internet on Jul. 7, 2014 at http://en.wikipedia.org/wiki/K-means—clustering. cited by applicant Hao-Yu Wu, Eulerian Video Magnification for Revealing Subtle Changes in the World, ACM Transactions on Graphics (TOG)—SIGGRAPH 2012 Conference Proceedings, vol. 31 Issue 4, Jul. 2012, Article No. 65, ACM New York, NY, USA, ISSN: 0730-0301 EISSN: 1557-7368 doi 10.1145/2185520.2185561, published on Jul. 1, 2012, retrieved from the Internet on Jul. 9, 2014 from http://people.csail.mit.edu/billf/publications/Eulearian—Video—Magnification.pdf. cited by applicant Eduardo S.L. Gastal, Adaptive Manifolds for Real-Time High-Dimensional Filtering, ACM Transactions on Graphics (TOG)—SIGGRAPH 2012 Conference Proceedings, vol. 31 Issue 4, Jul. 2012, Article No. 33, ACM New York, NY, USA, ISSN: 0730-0301 EISSN: 1557-7368, doi10.1145/2185520.2185529, retrieved from the Internet on on Jul. 9, 2013 from http://inf.ufrgs.br/˜eslgastal/AdaptiveManifolds/Gastal—Oliveira—SIGGRAPH2012—Adaptive—Manifolds.pdf. cited by applicant Sunghyun Cho, Video deblurring for hand-held cameras using patch-based synthesis, ACM Transactions on Graphics (TOG)—SIGGRAPH 2012 Conference Proceedings, vol. 31 Issue 4, Jul. 2012, Article No. 64, ACM New York, NY, USA, ISSN: 0730-0301 EISSN: 1557-7368 doi 10.1145/2185520.2185561, published on Jul. 1, 2012, retrieved from the Internet on Jul. 9, 2014 from http://juew.org/publication/video—deblur.pdf. cited by applicant C. Liu, Motion magnification, ACM SIGGRAPH 2005, pp. 519-526, 2005, retrieved from the Internet on Jul. 9, 2014 fromhttp://people.csail.mit.edu/celiu/pdfs/motionmag.pdf. cited by applicant O. Arikan, Interactive Motion Generation from Examples, ACM Transactions on Graphics (TOG), Proceedings of ACM SIGGRAPH 2002, vol. 21 Issue 3, Jul. 2002, pp. 483-490, ACM New York, NY, USA, ISBN:1-58113-521-1, doi 10.1145/566654.566606, retrieved from the Internet on Jul. 9, 2014from http://www.okanarikan.com/Papers/SynthesisFromExamples/paper.pdf. cited by applicant |
| Primary Examiner: | Murillo Garcia, Fabrico R |
| Attorney, Agent or Firm: | Smith, Esq., Michael G. |
| رقم الانضمام: | edspgr.09872620 |
| قاعدة البيانات: | USPTO Patent Grants |
| الوصف غير متاح. |