MEDICAL MONITORING HUB

• US 20180242923A1
• Filed: 05/01/2018
• Published: 08/30/2018
• Est. Priority Date: 10/13/2011
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Original Assignee: Masimo Corporation
• Inventors: Al-Ali, Ammar, Kinast, Eric Karl, Muhsin, Bilal
• Granted Patent: US 11,179,114 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2562/08 Sensors provided with means for identification, e.g. barcodes or memory chips
• CPC Class Codes: A61B 2562/222 Electrical cables or leads therefor, e.g. coaxial cables or ribbon cables
• CPC Class Codes: A61B 2562/227 Sensors with electrical connectors
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/4836 : Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/4866 : Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4875 : Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/742 : using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7425 : Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image geometric transforms for image registration G06T3/14; enhancement using image fusion G06T5/50; algorithms for registration of images G06T7/30
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 7/003 : Detecting lung or respiration noise
• CPC Class Codes: A61M 16/0051 : with alarm devices
• CPC Class Codes: A61M 16/021 : operated by electrical means A61M16/202 – A61M16/205 take precedence
• CPC Class Codes: A61M 2205/18 : with alarm
• CPC Class Codes: A61M 2205/3368 : Temperature
• CPC Class Codes: A61M 2205/3375 : Acoustical, e.g. ultrasonic, measuring means
• CPC Class Codes: A61M 2205/3561 : local, e.g. within room or hospital
• CPC Class Codes: A61M 2205/3569 : sublocal, e.g. between console and disposable
• CPC Class Codes: A61M 2205/3584 : using modem, internet or bluetooth
• CPC Class Codes: A61M 2205/3592 : using telemetric means, e.g. radio or optical transmission
• CPC Class Codes: A61M 2205/505 : Touch-screens; Virtual keyboard or keypads; Virtual buttons; Soft keys; Mouse touches
• CPC Class Codes: A61M 2209/086 : Docking stations
• CPC Class Codes: A61M 2230/04 : Heartbeat characteristics, e.g. ECG, blood pressure modulation
• CPC Class Codes: A61M 2230/10 : Electroencephalographic signals
• CPC Class Codes: A61M 2230/201 : Glucose concentration
• CPC Class Codes: A61M 2230/205 : partial oxygen pressure (P-O2)
• CPC Class Codes: A61M 2230/208 : pH-value
• CPC Class Codes: A61M 2230/30 : Blood pressure A61M2230/04 takes precedence
• CPC Class Codes: A61M 2230/42 : Rate
• CPC Class Codes: A61M 2230/50 : Temperature
• CPC Class Codes: A61M 5/172 : electrical or electronic A61M5/16804, A61M5/16831 take precedence
• CPC Class Codes: G06F 1/1632 : External expansion units, e.g. docking stations
• CPC Class Codes: G06F 13/4081 : Live connection to bus, e.g. hot-plugging current or voltage limitation during live insertion H02H9/004
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 : for local operation

Abstract

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient'"'"'s proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient'"'"'s medical records.

Claims

1. (canceled)

2. A system for outputting medical data by a medical monitoring hub, the system comprising:

a first medical device comprising a processor configured to;

receive a physiological signal associated with a patient from a physiological sensor;

calculate first physiological parameter data based on the physiological signal; and

provide the first physiological parameter data to a medical monitoring hub; and

the medical monitoring hub configured to;

receive the first physiological parameter data from the first medical device;

receive second physiological parameter data from a second medical device;

receive measurement synchronization data associated with the second medical device;

determine, based at least in part on the measurement synchronization data, a time-wise synchronization of the first physiological parameter data and the second physiological parameter data; and

output physiological parameter measurements based on the first physiological parameter data and the second physiological parameter data, wherein the physiological parameter measurements are time-wise synchronized.

3. The system of claim 2, wherein output of the physiological parameter measurements comprises display of the physiological parameter measurements on a display of the medical monitoring hub.

4. The system of claim 2, wherein the measurement synchronization data is received via an output cable of the second medical device.

5. The system of claim 4, wherein the second physiological parameter data is received via the output cable of the second medical device.

6. The system of claim 4, wherein the measurement synchronization data comprises measurement delay information.

7. The system of claim 4, wherein the measurement synchronization data is received from a memory of the output cable.

8. The system of claim 2, wherein the medical monitoring hub is further configured to:

receive configuration data associated with the second medical device; and

adjust the second physiological parameter data based on the configuration data.

9. The system of claim 8, wherein the configuration data indicates at least one of:

whether the data is streaming data, whether the data is waveform data, whether the data is already determined parameter measurement data, ranges on the data, speed of delivery of the data, units of the data, steps of units of the data, colors for display, alarm parameters, alarm thresholds, algorithms for alarm computations, other events that are parameter value driven, or device delay times.

10. The system of claim 9, wherein the configuration data comprises, for each of a plurality of parameters, a respective set of instructions regarding interpretation of data provided by the second medical device with respect to the respective parameters.

11. The system of claim 10, wherein the configuration data comprises at least one of a map, an image, or a translation file, and wherein the configuration data is generated based on a schema and via a software developers'"'"' kit associated with the medical monitoring hub.

12. The system of claim 8, wherein the medical monitoring hub is further configured to:

determine at least one of compression or encryption requirements from the configuration data; and

establish at least one of compressed or encrypted communications with the second medical device, wherein the second physiological parameter data is received via the at least one of compressed or encrypted communications.

13. A medical monitoring hub for outputting medical data, the medical monitoring hub comprising:

one or more processors configured to execute software instructions to cause the medical monitoring hub to;

receive first physiological parameter data from a first medical device;

receive second physiological parameter data from a second medical device;

receive measurement synchronization data associated with the second medical device;

determine, based at least in part on the measurement synchronization data, a time-wise synchronization of the first physiological parameter data and the second physiological parameter data; and

output physiological parameter measurements based on the first physiological parameter data and the second physiological parameter data, wherein the physiological parameter measurements are time-wise synchronized.

14. The medical monitoring hub of claim 13, wherein the measurement synchronization data is received from a memory of an output cable connecting the second medical device to the medical monitoring hub.

15. The medical monitoring hub of claim 13, wherein the one or more processors are further configured to execute software instructions to cause the medical monitoring hub to:

receive configuration data associated with the second medical device; and

adjust the second physiological parameter data based on the configuration data,

wherein the configuration data indicates at least one of;

whether the data is streaming data, whether the data is waveform data, whether the data is already determined parameter measurement data, ranges on the data, speed of delivery of the data, units of the data, steps of units of the data, colors for display, alarm parameters, alarm thresholds, algorithms for alarm computations, other events that are parameter value driven, or device delay times.

16. The medical monitoring hub of claim 15, wherein the configuration data comprises at least one of a map, an image, or a translation file, and wherein the configuration data is generated based on a schema and via a software developers'"'"' kit associated with the medical monitoring hub.

17. The medical monitoring hub of claim 16, wherein the configuration data comprises, for each of a plurality of parameters, a respective set of instructions regarding interpretation of data provided by the second medical device with respect to the respective parameters.

18. The medical monitoring hub of claim 15, wherein the one or more processors are further configured to execute software instructions to cause the medical monitoring hub to:

determine at least one of compression or encryption requirements from the configuration data; and

establish at least one of compressed or encrypted communications with the second medical device, wherein the second physiological parameter data is received via the at least one of compressed or encrypted communications.

19. A method of outputting medical data by a medical monitoring hub, the method comprising:

under the control of one or more processors comprising digital logic circuitry,

receiving first physiological parameter data from a first medical device;

receiving second physiological parameter data from a second medical device;

receiving measurement synchronization data associated with the second medical device;

determining, based at least in part on the measurement synchronization data, a time-wise synchronization of the first physiological parameter data and the second physiological parameter data; and

outputing physiological parameter measurements based on the first physiological parameter data and the second physiological parameter data, wherein the physiological parameter measurements are time-wise synchronized.

20. The method of claim 19, wherein the measurement synchronization data is received from a memory of an output cable connecting the second medical device to the medical monitoring hub.

21. The method of claim 19 further comprising:

under the control of one or more processors comprising digital logic circuitry,

receiving configuration data associated with the second medical device; and

adjusting the second physiological parameter data based on the configuration data,

wherein the configuration data indicates at least one of;

whether the data is streaming data, whether the data is waveform data, whether the data is already determined parameter measurement data, ranges on the data, speed of delivery of the data, units of the data, steps of units of the data, colors for display, alarm parameters, alarm thresholds, algorithms for alarm computations, other events that are parameter value driven, or device delay times.

22. The method of claim 21, wherein the configuration data comprises at least one of a map, an image, or a translation file, and wherein the configuration data is generated based on a schema and via a software developers'"'"' kit associated with the medical monitoring hub.

23. The method of claim 22, wherein the configuration data comprises, for each of a plurality of parameters, a respective set of instructions regarding interpretation of data provided by the second medical device with respect to the respective parameters.

24. The method of claim 21 further comprising:

under the control of one or more processors comprising digital logic circuitry,

determining at least one of compression or encryption requirements from the configuration data; and

establishing at least one of compressed or encrypted communications with the second medical device, wherein the second physiological parameter data is received via the at least one of compressed or encrypted communications.