Method for estimating a quantity of a blood component in a fluid receiver and corresponding error

• US 10,426,356 B2
• Filed: 01/03/2018
• Issued: 10/01/2019
• Est. Priority Date: 07/09/2011
• Status: Active Grant

• Current Assignee: Gauss Surgical, Inc. (Stryker Corporation)
• Original Assignee: Gauss Surgical, Inc. (Stryker Corporation)
• Inventors: Satish, Siddarth, Hosford, Andrew T., Miller, Kevin J., McColl, Milton, Aragon, Juan Carlos
• Primary Examiner(s): Bhatnagar, Anand P
• Application Number:
  US15/861,389
• Publication Number:
  US 20180296102A1
• Time in Patent Office: 636 Days
• CPC Class Codes: A61B 2505/05 Surgical care
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02042 Determining blood loss or bleeding, e.g. during a surgical procedure
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures
• CPC Class Codes: G06K 19/06187 with magnetically detectable marking
• CPC Class Codes: G06K 19/06206 the magnetic marking being emulated
• CPC Class Codes: G06K 19/07 with integrated circuit chips
• CPC Class Codes: G06K 19/0702 the arrangement including a battery
• CPC Class Codes: G06K 19/0704 the battery being rechargeable, e.g. solar batteries
• CPC Class Codes: G06K 19/0723 the record carrier comprising an arrangement for non-contact communication, e.g. wireless communication circuits on transponder cards, non-contact smart cards or RFIDs
• CPC Class Codes: G06K 19/0725 the arrangement being a circuit for emulating a plurality of record carriers, e.g. a single RFID tag capable of representing itself to a reader as a cloud of RFID tags
• CPC Class Codes: G06K 19/07345 by activating or deactivating at least a part of the circuit on the record carrier, e.g. ON/OFF switches
• CPC Class Codes: G06K 19/07703 the interface being visual
• CPC Class Codes: G06K 19/07705 the visual interface being a single light or small number of lights capable of being switched on or off, e.g. a series of LEDs
• CPC Class Codes: G06K 19/07707 the visual interface being a display, e.g. LCD or electronic ink
• CPC Class Codes: G06K 19/07709 the interface being a keyboard
• CPC Class Codes: G06K 19/07749 the record carrier being capable of non-contact communication, e.g. constructional details of the antenna of a non-contact smart card
• CPC Class Codes: G06K 19/0775 arrangements for connecting the integrated circuit to the antenna
• CPC Class Codes: G06K 19/07766 : comprising at least a second communication arrangement in addition to a first non-contact communication arrangement
• CPC Class Codes: G06K 19/07769 : the further communication means being a galvanic interface, e.g. hybrid or mixed smart cards having a contact and a non-contact interface
• CPC Class Codes: G06K 19/07773 : Antenna details antennas for wireless devices, e.g. RFID tags, in general H01Q1/22
• CPC Class Codes: G06K 19/083 : Constructional details
• CPC Class Codes: G06K 7/0004 : Hybrid readers
• CPC Class Codes: G06K 7/084 : sensing magnetic material by relative movement detecting flux changes without altering its magnetised state
• CPC Class Codes: G06K 7/087 : flux-sensitive, e.g. magnetic, detectors G06K7/10336 takes precedence
• CPC Class Codes: G06K 7/10297 : arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092 cryptographic protocols H04L9/00; network security protocols H04L63/00; real-time communication protocols in data switching networks H04L65/00; network protocols for data switching network services H04L67/00
• CPC Class Codes: G06Q 20/18 : involving self-service terminals [SST], vending machines, kiosks or multimedia terminals
• CPC Class Codes: G06Q 20/20 : Point-of-sale [POS] network systems
• CPC Class Codes: G06Q 20/34 : using cards, e.g. integrated circuit [IC] cards or magnetic cards
• CPC Class Codes: G06Q 20/341 : Active cards, i.e. cards including their own processing means, e.g. including an IC or chip
• CPC Class Codes: G06Q 20/3415 : Cards acting autonomously as pay-media
• CPC Class Codes: G06Q 20/352 : Contactless payments by cards
• CPC Class Codes: G06Q 20/385 : using an alias or single-use codes
• CPC Class Codes: G06Q 20/401 : Transaction verification
• CPC Class Codes: G06Q 30/0222 : During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0241 : Advertisements
• CPC Class Codes: G06Q 30/0277 : Online advertisement
• CPC Class Codes: G06Q 30/0641 : Shopping interfaces
• CPC Class Codes: G06T 2207/10024 : Color image
• CPC Class Codes: G06T 2207/30004 : Biomedical image processing
• CPC Class Codes: G06T 7/62 : of area, perimeter, diameter or volume
• CPC Class Codes: G06V 10/24 : Aligning, centring, orientation detection or correction of the image
• CPC Class Codes: G06V 10/25 : Determination of region of interest [ROI] or a volume of interest [VOI]
• CPC Class Codes: G06V 10/255 : Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
• CPC Class Codes: G06V 2201/03 : Recognition of patterns in medical or anatomical images
• CPC Class Codes: G06V 40/172 : Classification, e.g. identification
• CPC Class Codes: G07F 7/0806 : Details of the card record carriers per se G06K
• CPC Class Codes: G07F 7/1008 : Active credit-cards provided with means to personalise their use, e.g. with PIN-introduction/comparison system
• CPC Class Codes: G08B 13/1427 : with transmitter-receiver for distance detection
• CPC Class Codes: G08B 21/0244 : System arrangements wherein the alarm criteria uses signal delay or phase shift
• CPC Class Codes: G08B 21/0247 : System arrangements wherein the alarm criteria uses signal strength
• CPC Class Codes: G08B 21/0269 : System arrangements wherein the object is to detect the exact location of child or item using a navigation satellite system, e.g. GPS
• CPC Class Codes: G08B 21/0272 : System arrangements wherein the object is to detect exact location of child or item using triangulation other than GPS
• CPC Class Codes: G08B 21/0277 : Communication between units on a local network, e.g. Bluetooth, piconet, zigbee, Wireless Personal Area Networks [WPAN]
• CPC Class Codes: G08B 21/0461 : integrated or attached to an item closely associated with the person but not worn by the person, e.g. chair, walking stick, bed sensor
• CPC Class Codes: G08B 25/016 : Personal emergency signalling and security systems emergency non-personal manually actuated alarm activators G08B25/12
• CPC Class Codes: G08B 25/08 : using communication transmission lines G08B13/19658, G08B21/0286, G08B25/016 take precedence
• CPC Class Codes: G08B 25/10 : using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: G08B 5/22 : using electric transmission; using electromagnetic transmission
• CPC Class Codes: G08B 5/36 : using visible light sources
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: H04W 4/02 : Services making use of location information
• CPC Class Codes: H04W 4/021 : Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services
• CPC Class Codes: H04W 4/20 : Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 8/005 : Discovery of network devices, e.g. terminals
• CPC Class Codes: H04W 84/18 : Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

A method and system for communicating estimated blood loss parameters of a patient to a user, the method comprising: receiving data representative of an image, of a fluid receiver; automatically detecting a region within the image associated with a volume of fluid received at the fluid receiver, the volume of fluid including a blood component; calculating an estimated amount of the blood component present in the volume of fluid based upon a color parameter represented in the region, and determining a bias error associated with the estimated amount of the blood component; updating an analysis of an aggregate amount of the blood component and an aggregate bias error associated with blood loss of the patient, based upon the estimated amount of the blood component and the bias error; and providing information from the analysis of the aggregate amount of the blood component and the aggregate bias error, to the user.

Claims

1. A method for communicating medical parameter information of a patient to a user, comprising:

at a computing system, receiving data representative of a medical parameter;

determining a statistical component associated with the medical parameter;

updating an analysis of an aggregate amount of the medical parameter and an aggregate statistical component associated with the medical parameter, based upon the medical parameter and the statistical component; and

at a user interface device in communication with the computing system, providing information indicative of error derived from the analysis of the aggregate amount of the medical parameter and the aggregate statistical component to the user.

2. The method of claim 1, wherein updating the analysis of the aggregate statistical component comprises determining one or more of:

a bias error, a confidence interval, a limit of agreement, a root mean square error, an interquartile range, a standard deviation, an error histogram, and a Monte Carlo simulation histogram associated with the medical parameter.

3. The method of claim 1, wherein determining the statistical component comprises determining a bias error.

4. The method of claim 1, wherein determining the statistical component associated with the medical parameter comprises identifying the statistical component from a table relating ranges of the medical parameter to values of the statistical component.

5. The method of claim 1, wherein receiving data representative of the medical parameter comprises receiving data derived from one or more of:

a hemoglobin-related parameter, a blood volume, a blood mass, and a cell volume.

6. The method of claim 1, wherein receiving data representative of the medical parameter comprises receiving data representative of an image at a computing system in communication with an image acquisition device, wherein the image is generated by the image acquisition device;

and wherein the method comprises, at the computing system, computing an amount of the medical parameter based upon analyzing a region within the image.

7. The method of claim 6, wherein computing the amount of the medical parameter comprises extracting a color parameter from a region of the image.

8. The method of claim 7, wherein computing the amount of the medical parameter comprises transforming the extracted color parameter to the amount of the medical parameter according to a parametric model.

9. The method of claim 7, wherein computing the amount of the medical parameter comprises transforming the extracted color parameter to the amount of the medical parameter according to a template matching model.

10. The method of claim 1, wherein determining the statistical component comprises determining a standard deviation.

11. The method of claim 1, wherein determining the statistical component comprises determining at least one of:

a confidence interval, a limit of agreement, a root mean square error, an interquartile range, an error histogram, and a Monte Carlo simulation histogram.

12. The method of claim 1, wherein receiving data representative of the medical parameter comprises receiving data derived from one or more of:

a urine-related parameter, a saliva-related parameter, a lymphatic fluid-related parameter, a mucus-related parameter, a plasma-related parameter, a platelet-related parameter, and an amniotic fluid-related parameter.

13. The method of claim 1, wherein receiving data representative of the medical parameter comprises receiving data derived from one or more of:

an oxygen saturation-related parameter, a temperature-related parameter, a blood pressure-related parameter, a spinal fluid pressure-related parameter, and an inter-cranial pressure-related parameter.

14. The method of claim 1, wherein the data representative of the medical parameter is associated with a fluid receiver.

15. The method of claim 14, wherein the fluid receiver is a fluid canister.

16. The method of claim 14, wherein the fluid receiver is a surgical textile.

17. The method of claim 1, wherein providing information comprises displaying the aggregate amount of the medical parameter and the aggregate statistical component to the user on a display.

18. The method of claim 17, wherein displaying the aggregate amount of the medical parameter and the aggregate statistical component comprises displaying at least one error bar.

19. The method of claim 1, further comprising determining a biological status of the patient derived from the aggregate amount of the medical parameter, wherein providing information comprises providing a notification indicative of the determined biological status of the patient.

20. The method of claim 19, wherein the biological status of the patient is determined and provided continuously in a substantially real-time manner.