Adaptive signal processing for infusion devices and related methods and systems
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G01N-033/48
G06F-019/00
A61M-005/172
G05B-015/02
A61M-005/142
G06F-007/58
출원번호
US-0281766
(2014-05-19)
등록번호
US-10007765
(2018-06-26)
발명자
/ 주소
Nogueira, Keith
Agrawal, Pratik
Kannard, Brian T.
Li, Xiaolong
Liang, Bradley C.
Shah, Rajiv
Zhong, Yuxiang
출원인 / 주소
MEDTRONIC MINIMED, INC.
대리인 / 주소
Lorenz & Kopf, LLP
인용정보
피인용 횟수 :
0인용 특허 :
197
초록▼
Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining a filtered measurement indicative of a physiological condition of a user, determining a metric indicative of a characteristic of the filtered measure
Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device involves obtaining a filtered measurement indicative of a physiological condition of a user, determining a metric indicative of a characteristic of the filtered measurement based at least in part on one or more derivative metrics associated with the filtered measurement, and determining an output measurement indicative of the physiological condition of the user based at least in part on the filtered measurement, the metric, and a previous output measurement.
대표청구항▼
1. A method comprising: storing, by a control module coupled to a sensing element, a plurality of unfiltered measurement values obtained from a sensing element in a first buffer, the plurality of unfiltered measurement values comprising periodically sampled output electrical signals from the sensing
1. A method comprising: storing, by a control module coupled to a sensing element, a plurality of unfiltered measurement values obtained from a sensing element in a first buffer, the plurality of unfiltered measurement values comprising periodically sampled output electrical signals from the sensing element, wherein the output electrical signals are influenced by a physiological condition in a body of a user;determining, by the control module, a plurality of filtered measurements indicative of the physiological condition of the user based on the plurality of unfiltered measurement values;storing, by the control module, the plurality of filtered measurements in a second buffer;determining, by the control module, a first derivative metric associated with a current filtered measurement of the plurality of filtered measurements and a second derivative metric associated with the current filtered measurement based on the plurality of filtered measurements;determining, by the control module, a process variance metric indicative of a signal characteristic of a current filtered measurement based at least in part on the first derivative metric and the second derivative metric;determining, by the control module, an output filtered measurement indicative of the physiological condition of the user based at least in part on the current filtered measurement, the process variance metric, and a previous output measurement; andtransmitting, by a communications interface coupled to the control module, the output filtered measurement to an infusion device, wherein operation of the infusion device to deliver fluid to the body of the user is influenced by the output filtered measurement, the fluid influencing the physiological condition in the body of the user. 2. The method of claim 1, wherein determining the process variance metric comprises: determining a frequency estimate associated with the current filtered measurement based on the first derivative metric;determining a noise estimate associated with the current filtered measurement based on the second derivative metric; anddetermining the process variance metric as a function of the frequency estimate and the noise estimate. 3. The method of claim 2, wherein: determining the frequency estimate comprises scaling the first derivative metric by a calibration factor for converting the output filtered measurement to a sensed value for the physiological condition, the first derivative metric comprising an average of first derivative values associated with the current filtered measurement and one or more preceding filtered measurements; anddetermining the noise estimate comprises scaling the second derivative metric by the calibration factor, the second derivative metric comprising an average of second derivative values associated with the current filtered measurement and the one or more preceding filtered measurements. 4. The method of claim 2, further comprising: determining a rate of change metric associated with the current filtered measurement based at least in part on the first derivative metric;scaling the rate of change metric for the current filtered measurement based on the noise estimate when the noise estimate is less than a threshold value, resulting in a scaled rate of change metric; andadding the scaled rate of change metric to the current filtered measurement to obtain an adjusted filtered measurement, wherein determining the output filtered measurement comprises determining the output filtered measurement based at least in part on the adjusted filtered measurement, the process variance metric, and the previous output measurement. 5. The method of claim 1, further comprising: identifying a dropout condition based at least in part on one or more of the first derivative metric and the second derivative metric associated with the current filtered measurement; anddetermining an adjusted filtered measurement in response to identifying the dropout condition, wherein determining the output filtered measurement comprises determining the output filtered measurement based at least in part on the adjusted filtered measurement, the process variance metric, and the previous output measurement. 6. The method of claim 5, further comprising modifying the process variance metric in response to identifying the dropout condition. 7. The method of claim 5, wherein identifying the dropout condition comprises identifying the dropout condition when the first derivative metric associated with the current filtered measurement is greater than a first derivative dropout threshold value and the second derivative metric associated with the current filtered measurement is less than a second derivative dropout threshold value. 8. The method of claim 1, further comprising adjusting the current filtered measurement to compensate for delay based at least in part on one or more of the first derivative metric and the second derivative metric associated with the current filtered measurement, resulting in an adjusted filtered measurement, wherein determining the output filtered measurement comprises determining the output filtered measurement based on the adjusted filtered measurement, the process variance metric, and the previous output measurement. 9. The method of claim 8, further comprising determining a noise estimate associated with the current filtered measurement based on the second derivative metric associated with the current filtered measurement, wherein adjusting the current filtered measurement comprises: scaling a rate of change metric for the current filtered measurement based on the noise estimate when the noise estimate is less than a threshold value, resulting in a scaled rate of change metric; andadding the scaled rate of change metric to the current filtered measurement to obtain the adjusted filtered measurement. 10. The method of claim 1, further comprising identifying an artifact condition when a difference between the current filtered measurement and a preceding filtered measurement of the plurality of filtered measurements exceeds a threshold value, wherein determining the output filtered measurement comprises maintaining the previous output measurement in response to the artifact condition. 11. The method of claim 1, further comprising: determining a sensed value for the physiological condition of the user based on the output filtered measurement and a calibration factor associated with the sensing element;determining a delivery command based at least in part on a difference between the sensed value and a target value for the physiological condition of the user; andoperating the infusion device to deliver the fluid to the user in accordance with the delivery command. 12. A computer-readable medium having computer-executable instructions stored thereon that, when executed by a control module, cause the control module to perform the method of claim 1. 13. The method of claim 1, wherein determining the output filtered measurement comprises: determining an intermediate error estimate based on a preceding output error estimate and the process variance metric;determining a filter gain value based on the intermediate error estimate and a measurement error value; anddetermining the output filtered measurement based on the current filtered measurement, the filter gain value, and the previous output measurement. 14. The method of claim 1, wherein determining the output filtered measurement comprises implementing a Kalman filter to filter the current filtered measurement using the previous output measurement and the process variance metric indicative of the signal characteristic of the current filtered measurement. 15. The method of claim 14, wherein implementing the Kalman filter comprises: determining an intermediate error estimate based on a preceding output error estimate and the process variance metric;determining a Kalman filter gain value based on the intermediate error estimate and a measurement error value; anddetermining the output filtered measurement according to the equation iout=iout[n−1]+k(isig−iout[n−1]), where iout is the output measurement value, iout[n−1] represents the preceding output measurement, isig represents the current filtered measurement, and k represents the Kalman filter gain value. 16. The method of claim 14, further comprising adjusting the current filtered measurement to compensate for delay based at least in part on one or more of the first derivative metric and the second derivative metric associated with the current filtered measurement, resulting in an adjusted filtered measurement, wherein determining the output measurement comprises: determining an intermediate error estimate based on a preceding output error estimate and the process variance metric;determining a Kalman filter gain value based on the intermediate error estimate and a measurement error value; anddetermining the output filtered measurement according to the equation iout=iout[n−1]+k(isig−iout[n−1]), where iout is the output measurement value, iout[n−1] represents the preceding output measurement, isig represents the adjusted filtered measurement, and k represents the Kalman filter gain value. 17. A sensing device comprising: a sensing element to output electrical signals influenced by a physiological condition of a user;a first buffer to maintain a plurality of unfiltered measurement values comprising periodically sampled output electrical signals from the sensing element;a second buffer to maintain a plurality of filtered measurements;a control module coupled to the sensing element, the first buffer, and the second buffer to: determine the plurality of filtered measurements indicative of the physiological condition of the user based on the plurality of unfiltered measurement values;determine a first derivative metric associated with a current filtered measurement of the plurality of filtered measurements and a second derivative metric associated with the current filtered measurement based on the plurality of filtered measurements;determine a process variance metric indicative of a signal characteristic of the current filtered measurement of the plurality of filtered measurements based at least in part on the first derivative metric and the second derivative metric associated with the current filtered measurement; anddetermine an output filtered measurement indicative of the physiological condition of the user based at least in part on the current filtered measurement, the process variance metric, and a previous output measurement; anda communications interface coupled to the control module to transmit the output filtered measurement. 18. The sensing device of claim 17, wherein operation of an infusion device to regulate the physiological condition of the user is influenced by the output filtered measurement transmitted to the infusion device by the communications interface. 19. The sensing device of claim 17, wherein the control module is configured to determine a delivery command for operating a motor operable to deliver fluid influencing the physiological condition to a body of the user based at least in part on the output filtered measurement.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (197)
Batina, William P.; White, Robert M., Acquisition circuit for cardiac pacer.
Schulman Joseph H. ; Lucisano Joseph Y. ; Shah Rajiv ; Byers Charles L. ; Pendo Shaun M., Alumina insulation for coating implantable components and other microminiature devices.
Tune Joel (Antioch IL) Anderson Robert L. (Boulder CO) Blankenship Larry (Boulder CO) Colesworthy ; III Daniel C. (Boulder CO) Heim Warren P. (Boulder CO) Miller ; III Scott A. (Boulder CO) Sherman B, Ambulatory infusion pump.
Coutr James E. (Concord MA) Griffin Wayne P. (Dracut MA) Crisler Charles M. (Windham NH), An infusion management and pumping system having an alarm handling system.
Say James ; Tomasco Michael F. ; Heller Adam ; Gal Yoram,ILX ; Aria Behrad ; Heller Ephraim ; Plante Phillip John ; Vreeke Mark S. ; Friedman Keith A. ; Colman Fredric C., Analyte monitoring device and methods of use.
Steil, Garry M.; Rebrin, Kerstin; Goode, Jr., Paul V.; Mastrototaro, John J.; Purvis, Richard E.; Van Antwerp, William P.; Shin, John J.; Talbot, Cary D., Closed loop system for controlling insulin infusion.
Prestele Karl (Erlangen DEX) Franetzki Manfred (Uttenreuth DEX) Reif Erich (Erlangen DEX), Device for the infusion of fluids into the human or animal body.
Say James ; Tomasco Michael F. ; Heller Adam ; Gal Yoram,ILX ; Aria Behrad ; Heller Ephraim ; Plante Phillip John ; Vreeke Mark S., Electrochemical analyte.
James Say ; Michael F. Tomasco ; Adam Heller ; Yoram Gal IL; Behrad Aria ; Ephraim Heller ; Phillip John Plante ; Mark S. Vreeke, Electrochemical analyte sensor.
Gibson, Scott R.; Shah, Rajiv; Chernoff, Edward; Byers, Charles, Electronic lead for a medical implant device, method of making same, and method and apparatus for inserting same.
Gregg Brian A. (13940 Braun Dr. Golden CO 80401) Heller Adam (5317 Valburn Cir. Austin TX 78731) Kerner Wolfgang (Universitat Zu Lubeck ; Klinik Fur Innerere Medizin ; Razeburger Allee 160 D-2400 Lub, Enzyme electrodes.
Gregg Brian A. (13940 Braun Dr. Golden CO 80401) Heller Adam (5317 Valburn Cir. Austin TX 78731) Kerner Wolfgang (Universitat zu Lubeck ; Klinik fur Innerere Medizin ; Razeburger Allee 160 D-2400 Lub, Enzyme electrodes.
Lord Peter C. (Santa Clarita CA) Van Antwerp William P. (Brentwood CA) Mastrototaro John J. (Los Angeles CA) Cheney ; II Paul S. (Beverly Hills CA) Schnabel Nannette M. (Valencia CA), Flex circuit connector.
Dempsey Michael K. (Acton MA) Kotfila Mark S. (Chelmsford MA) Snyder Robert J. (Westford MA), Flexible patient monitoring system featuring a multiport transmitter.
Yap, Darren Y. K.; Gulati, Poonam; Kovelman, Paul H.; Van Antwerp, William P.; Enegren, Bradley J.; Geismar, Eric P.; Hudak, Philip J.; McConnell, Susan; Moberg, Sheldon B., Fluid reservoir piston.
Schulman Joseph H. (Santa Clarita CA) Rule ; III Orville R. (Los Angeles CA) Whitmoyer David I. (Los Angeles CA) Lebel Ronald J. (Sherman Oaks CA) Lucisano Joseph Y. (Saugus CA) Mann Alfred E. (Bever, Glucose monitoring system.
Schulman Joseph H. (Santa Clarita CA) Rule ; III Orville Rey (Los Angeles CA) Whitmoyer David I. (Los Angeles CA) Lebel Ronald J. (Sherman Oaks CA) Lucisano Joseph Y. (Saugus CA) Mann Alfred E. (Beve, Glucose sensor assembly.
McIvor, K. Collin; Cabernoch, James L.; Branch, Kevin D.; Van Antwerp, Nannette M.; Halili, Edgardo C.; Mastrototaro, John J., Glucose sensor package system.
Allen Douglas J. (Indianapolis IN) Johnson Kirk W. (Indianapolis IN) Nevin Robert S. (Indianapolis IN), Hydrophilic polyurethane membranes for electrochemical glucose sensors.
Schulman Joseph H. ; Byers Charles L. ; Adomian Gerald E. ; Colvin Michael S., Implantable enzyme-based monitoring systems having improved longevity due to improved exterior surfaces.
Wilson George S. (Lawrence KS) Bindra Dilbir S. (Lawrence KS) Hill Brian S. (Lawrence KS) Thevenot Daniel R. (Paris Cedex FRX) Sternberg Robert (Thiais FRX) Reach Gerard (Paris Cedex KS FRX) Zhang Ya, Implantable glucose sensor.
Meadows, Paul M.; Mann, Carla M.; Tsukamoto, Hisashi; Chen, Joey, Implantable pulse generators using rechargeable zero-volt technology lithium-ion batteries.
Gargano Diane A. ; Flachbart Eric J. ; Cowen Barry ; Duh Monica ; Rudser ; Jr. John L. ; Zhen Ken ; Noble Lynn ; Warhurst Julian ; Pedraza Luis, Infusion pump for at least one syringe.
Coutre James E. (114 Stone Root La. Concord MA 01742) Griffin Wayne P. (55 Surrey La. Dracut MA 01826) Crisler Charles M. (10 Sunridge Rd. Windham NH 03087), Infusion pump management system for suggesting an adapted course of therapy.
Causey ; III James D. (Simi Valley CA) Schloss Harold C. (Los Angeles CA) Snell Jeffery D. (Northridge CA), Interactive programming and diagnostic system for use with implantable pacemaker.
Say, James L.; Sakslund, Henning; Tomasco, Michael F.; Audett, Jay D.; Cho, Hyun; Yamasaki, Duane O.; Heller, Adam, Mass transport limited in vivo analyte sensor.
Castellano Thomas P. (Beverly Hills CA) Schumacher Robert (Beverly Hills CA), Medication delivery device with a microprocessor and characteristic monitor.
Colman Fredric C. (Granada Hills CA) Purvis Richard E. (Glendale CA), Medication infusion system having optical motion sensor to detect drive mechanism malfunction.
Peterson Bruce A. (Milwaukie OR) Hogard Michael E. (Oregon City OR) Johnson Harley D. (Portland OR) Kelly Thomas D. (Portland OR) Long Jean M. (Portland OR) Preston ; Jr. William G. (Portland OR), Method and apparatus for kidney dialysis.
Joseph H. Schulman ; Joseph Y. Lucisano ; Rajiv Shah ; Charles L. Byers ; Shaun M. Pendo, Method of applying insulation for coating implantable components and other microminiature devices.
Feldman, Benjamin J.; Heller, Adam; Heller, Ephraim; Mao, Fei; Vivolo, Joseph A.; Funderburk, Jeffery V.; Colman, Fredric C.; Krishnan, Rajesh, Method of using a small volume in vitro analyte sensor with diffusible or non-leachable redox mediator.
Moberg, Sheldon B.; Causey, III, James D.; Bare, Rex O.; Scherer, Andrew J.; Sargent, Bradley J., Methods, apparatuses, and uses for infusion pump fluid pressure and force detection.
Sheldon B. Moberg ; James D. Causey, III ; Rex O. Bare ; Andrew J. Scherer ; Bradley J. Sargent, Methods, apparatuses, and uses for infusion pump fluid pressure and force detection.
Brown Stephen J. ; Jensen Erik K., On-line health education and feedback system using motivational driver profile coding and automated content fulfillment.
Roizen Michael (Chicago IL) Turcotte ; II William E. (Oak Park IL) Pfisterer Richard E. (Arlington Heights IL), Portable medical interactive test selector having plug-in replaceable memory.
Say James ; Tomasco Michael F. ; Heller Adam ; Gal Yoram,ILX ; Aria Behrad ; Heller Ephraim ; Plante Phillip John ; Vreeke Mark S., Process for producing an electrochemical biosensor.
Livingston John H. (Los Angeles CA) Frye Ward K. (San Luis Obispo CA) Field Jeffrey F. (Northridge CA), Proctective case for a medication infusion pump.
Sancoff Gregory E. (Leucadia CA) McWilliams Mark (San Diego CA) Barr Howard S. (Escondido CA) Cordner ; Jr. Edward T. (Carlsbad CA) Barton Russell C. (Monrovia CA), Programmable infusion system.
Shin, John J.; Holtzclaw, Kris R.; Dangui, Nandita D.; Kanderian, Jr., Sami; Mastrototaro, John J.; Hong, Peter I., Real time self-adjusting calibration algorithm.
Langen Pauline A. (Simsbury CT) Katz Jeffrey S. (West Hartford CT) Dempsey Gayle (Needham MA) Pompano James (East Haven CT), Remote monitoring of high-risk patients using artificial intelligence.
Epstein Paul (Brookline MA) Petschek Harry (Lexington MA) LaWhite Eric (South Royalton VT) Strohl Clair (Norfolk MA) Coyne Henry (Framington MA) Kaleskas Edward (Jefferson MA) Adaniya George (Swampsc, Remotely programmable infusion system.
Lundquist Ingemar H. (Pebble Beach CA) Tarczy-Hornoch Zoltan (Berkeley CA) Kardos Thomas J. (Laguna Beach CA), Retroperfusion and retroinfusion control apparatus, system and method.
Liamos, Charles T.; Feldman, Benjamin J.; Funderburk, Jeffery V.; Krishnan, Rajesh; Plante, Phillip John; Vivolo, Joseph A.; Jin, Robert Y.; Cloud, Michael S., Small volume in vitro analyte sensor and methods.
Liamos, Charles T.; Feldman, Benjamin J.; Funderburk, Jeffery V.; Krishnan, Rajesh; Plante, Phillip John; Vivolo, Joseph A.; Jin, Robert Y.; Cloud, Michael S., Small volume in vitro analyte sensor and methods.
Nason Clyde K. (25745 N. Player Dr. Valencia CA 91355) Culp Gordon W. (13832 Haynes St. Van Nuys CA 91401), Solenoid drive apparatus for an external infusion pump.
Starkweather, Timothy J.; Lebel, Ronald J.; Shah, Rajiv; Miller, Michael E., System and method for providing closed loop infusion formulation delivery.
Aoki Thomas T. (1021 El Sur Way Sacramento CA 95825), System and method for treating animal body tissues to improve the dietary fuel processing capabilities thereof.
Tacklind Christopher A. (Palo Alto CA) Sanders Matthew H. (Los Altos Hills CA) Walne Geoffrey B. (Atherton CA), System for monitoring and reporting medical measurements.
Blomquist Michael L. (Coon Rapids MN) Peterson Thomas L. (Shoreview MN), Systems and methods for operating ambulatory medical devices such as drug delivery devices.
Mann, Alfred E.; Purvis, Richard E.; Mastrototaro, John J.; Causey, James D.; Henke, James; Hong, Peter; Livingston, John H.; Hague, Clifford W.; Hite, Brad T., Telemetered characteristic monitor system and method of using the same.
Lord Peter C. (Santa Clarita CA) Van Antwerp William P. (Brentwood CA) Mastrototaro John J. (Los Angeles CA) Cheney ; II Paul S. (Beverly Hills CA) Schnabel Nannette M. (Valencia CA), Transcutaneous sensor insertion set.
Gerety, Eugene P.; Strempski, Richard A.; Sardi, Stephen G., Two-dimensional printed code for storing biometric information and integrated off-line apparatus for reading same.
Carter,Scott J.; Flanders,Edward L.; Hannah,Stephen E., Wireless LAN architecture for integrated time-critical and non-time-critical services within medical facilities.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.