Physiological monitor with mobile computing device connectivity

• US 9,877,650 B2
• Filed: 09/20/2013
• Issued: 01/30/2018
• Est. Priority Date: 09/20/2012
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Original Assignee: Masimo Corporation
• Inventors: Muhsin, Bilal, Hwang, Sujin, Triman, Benjamin C.
• Primary Examiner(s): Winakur, Eric
• Assistant Examiner(s): Fardanesh, Marjan
• Application Number:
  US14/033,315
• Publication Number:
  US 20140081100A1
• Time in Patent Office: 1,593 Days
• CPC Class Codes: A61B 2562/22 Arrangements of medical sensors with cables or leads; Connectors or couplings specifically adapted for medical sensors
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• 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 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise

Abstract

Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

Claims

1. A physiological monitoring system comprising:

a physiological sensor configured to monitor one or more physiological parameters of a patient;

a mobile computing device comprising a display;

a cable including;

a processing board configured to establish an electrical signal connection between the physiological sensor and the mobile computing device, wherein the processing board is further configured to receive raw data representing the monitored one or more physiological parameters and to perform signal processing to provide filtered parameter data to the mobile computing device,

a first portion of the cable coupled between the physiological sensor and the processing board, the first portion of the cable extending a first distance mechanically isolating the processing board from the physiological sensor, and

a second portion of the cable coupled between the processing board and the mobile computing device, the second portion of the cable extending a second distance, wherein the second distance is smaller than the first distance; and

an enclosure comprising;

a body portion surrounding the processing board,

a first bend relief on a first side of the body portion, and

a second bend relief on a second side of the body portion, the first portion of the cable coupled between the physiological sensor and the processing board through the first bend relief and the second portion of the cable coupled between the processing board and the mobile computing device through the second bend relief.

2. The physiological monitoring system of claim 1, wherein the processing board is coupled to a port using a second portion of the cable, wherein the port is connectable to the mobile computing device.

3. The physiological monitoring system of claim 1, wherein the processing board comprises a digital processing board and an analog processing board.

4. The physiological monitoring system of claim 1, wherein the processing board is in communication with an information element.

5. The physiological monitoring system of claim 1, wherein the mobile computing device provides a power signal to the processing board and the physiological sensor.

6. The physiological monitoring system of claim 1, wherein the mobile computing device presents the filtered parameter data to a user on the display.

7. The physiological monitoring system of claim 1, wherein the mobile computing device further comprises storage configured to store the filtered parameter data.

8. The physiological monitoring system of claim 1, wherein the mobile computing device is configured to transmit, via a network connection, the filtered parameter data to at least one of a calibration service, a physician computing device, or a medical facility patient database.

9. The physiological monitoring system of claim 1, wherein the physiological sensor comprises one or more of a pulse oximeter, capnometer, capnograph, acoustic respiratory sensor, electroencephalograph, electrocardiograph, or temperature sensor.

10. A computer-implemented method of mobile physiological monitoring, the method comprising:

providing a portable physiological monitoring system comprising;

a physiological sensor configured to monitor one or more physiological parameters of a patient,

a cable including;

a processing board configured to establish an electrical signal connection between the sensor and a mobile computing device,

a first portion of the cable coupled between the physiological sensor and the processing board, the first portion of the cable extending a first distance mechanically isolating the processing board from the physiological sensor, and

a second portion of the cable coupled between the processing board and the mobile computing device, the second portion of the cable extending a second distance, wherein the second distance is smaller than the first distance, and

an enclosure comprising;

a body portion surrounding the processing board,

a first bend relief on a first side of the body portion, and

a second bend relief on a second side of the body portion, the first portion of the cable coupled between the physiological sensor and the processing board through the first bend relief and the second portion of the cable coupled between the processing board and the mobile computing device through the second bend relief;

generating raw data representing the monitored one or more physiological parameters using the physiological sensor;

receiving the raw data at the processing board via the first portion of the cable;

performing signal processing on the raw data using the processing board, wherein the signal processing generates filtered parameter data; and

transmitting the filtered parameter data via the second portion of the cable to the mobile computing device.

11. The computer-implemented method of claim 10, wherein the signal processing comprises:

determining a noise signal present in the raw data;

filtering the raw data to remove the noise signal; and

outputting the filtered raw data as filtered parameter data.

12. The computer-implemented method of claim 10, wherein the filtered parameter data comprises one or more of oxygen saturation, pulse rate, perfusion index, signal quality, oxygen content, carboxyhemoglobin, methemoglobin, and acoustic respiration rate.

13. The computer-implemented method of claim 10, wherein transmitting the filtered parameter data to the mobile computing device comprises transmitting the filtered parameter data through the cable and a connection port to the mobile computing device.

14. The computer-implemented method of claim 10, wherein transmitting the filtered parameter data to the mobile computing device comprises transmitting the filtered parameter data through the cable to a wireless communication module, wherein the filtered parameter data is transmitted wirelessly to the mobile computing device from the wireless communication module.

15. The computer-implemented method of claim 10, further comprising providing a mobile monitoring application configured to track and display the filtered parameter data.

16. The computer-implemented method of claim 15, wherein the mobile monitoring application is further configured to output stored history data representing filtered parameter data monitored over a period of time.

17. The computer-implemented method of claim 16, wherein outputting stored history data comprises presenting the stored history data to a user on a display of the mobile computing device.

18. The computer-implemented method of claim 16, wherein outputting stored history data comprises exporting the stored history data to another computing device.

19. The computer-implemented method of claim 10, further comprising:

connecting to a network using the mobile computing device; and

transmitting the filtered parameter data over the network.

20. The computer-implemented method of claim 19, wherein the filtered parameter data is transmitted over the network to a calibration service, the method further comprising incorporating the filtered parameter data into a calibration data set.

21. The computer-implemented method of claim 20, further comprising using the calibration data set to generate a calibration curve.