WIRELESS PATIENT MONITORING SYSTEM AND METHOD

• US 20170303784A1
• Filed: 04/25/2016
• Published: 10/26/2017
• Est. Priority Date: 04/25/2016
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Huiku, Matti Veli Tapani
• Granted Patent: US 10,098,558 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• 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 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick

Abstract

A patient monitoring system includes one or more wireless sensing devices configured to record physiological data from a patient and one or more processors. An activity analysis module is executable on one or more of the processors to select an activity class from a predefined set of activity classes based on an activity input. A power management module is executable on one or more of the processors to reduce power consumption of one or more of the wireless sensing devices by identifying that one or more of the wireless sensing devices is unreliable based on the activity class, and operating the one or more unreliable wireless sensing devices in a low power mode.

Claims

1. A patient monitoring system comprising:

one or more wireless sensing devices configured to record physiological data from a patient;

one or more processors;

an activity analysis module executable on one or more of the processors to select an activity class from a predefined set of activity classes based on an activity input;

a power management module executable on one or more of the processors to;

identify that one or more of the wireless sensing devices is unreliable based on the activity class; and

operate the one or more unreliable wireless sensing devices in a low power mode.

2. The patient monitoring system of claim 1, wherein the unreliable wireless sensing device in the low power mode does not record physiological data from the patient when the activity class indicates that the physiological data will be unreliable due to patient position or artifact caused by motion of the patient.

3. The patient monitoring system of claim 1, wherein the unreliable wireless sensing device in the low power mode records a reduced set of physiological data from the patient when the activity class indicates that the physiological data will be unreliable due to patient position or due to artifact caused by motion of the patient.

4. The patient monitoring system of claim 1, wherein the unreliable wireless sensing device in the low power mode records the physiological data from the patient less frequently when the activity class indicates that the physiological data will be unreliable due to patient position or due to artifact caused by motion of the patient.

5. The patient monitoring system of claim 1, further comprising at least one activity sensor configured to sense at least one of a position of the patient and a motion of the patient to provide the activity input, wherein the activity sensor includes at least one of an accelerometer and a gyroscope.

6. The patient monitoring system of claim 1, further comprising a hub device in wireless communication with the one or more wireless sensing devices, the hub device containing the activity analysis module, the power management module, and the processor on which the activity analysis module and the power management module are executed.

7. The patient monitoring system of claim 6, further comprising at least one activity sensor in the hub device configured to sense at least one of a position of the patient and a motion of the patient to provide the activity input.

8. The patient monitoring system of claim 7, further comprising at least one activity sensor in at least one of the wireless sensing devices configured to sense at least one of a position of the patient and a motion of the patient to provide the activity input.

9. The patient monitoring system of claim 5, wherein the at least one activity sensor is in at least one of the wireless sensing devices to provide the activity input.

10. The patient monitoring system of claim 1, wherein the activity input includes a user-provided input.

11. The patient monitoring system of claim 1, wherein the activity analysis module is further executable on the processor to detect the activity input as a feature in the physiological data recorded by the one or more wireless sensing devices.

12. The patient monitoring system of claim 1, further comprising at least a wireless non-invasive blood pressure (NIBP) device, wherein the wireless NIBP device is operated in the low power mode to stop recording a blood pressure from the patient if the activity class indicates that the patient is moving.

13. The patient monitoring system of claim 1, further comprising at least a wireless pulse oximeter device configured to record an SPO2 and a pulse rate from the patient, wherein the wireless pulse oximeter device is operated in the low power mode to stop operation of at least one of a red LED and an infrared LED if the activity class indicates that the patient is moving.

14. The patient monitoring system of claim 1, further comprising at least an wireless electrocardiograph (ECG) device, wherein the wireless ECG device is operated in the low power mode to record only a heart rate using a reduced-lead set from the patient for one or more given activity classes.

15. A method of monitoring a patient, the method comprising:

recording physiological data from a patient with each of at least two wireless sensing devices, wherein each wireless sensing device measures a different type of physiological data;

receiving an activity input at a processor;

selecting with the processor an activity class based on an activity input;

identifying at least one wireless sensing device that is unreliable based on the activity class;

operating the one or more unreliable wireless sensing devices in a low power mode.

16. The method of claim 15, further comprising presenting on a display at least one of an operation mode display indicating that the unreliable wireless sensing devices are operating in a low power mode and an activity class display indicating the activity class.

17. The method of claim 15, further comprising recording the activity input with at least one activity sensor, wherein the activity input includes at least one of an orientation information and a motion information.

18. The method of claim 15, wherein the receiving selecting and identifying steps are carried out in a hub device in wireless communication with each of the at least two wireless sensing devices, and the operating step is carried out by the hub device wirelessly communicating an operation mode command to each wireless sensing device.

19. The method of claim 15, wherein the unreliable wireless sensing device in the low power mode does at least one of not recording physiological data from the patient, recording a reduced set of physiological data from the patient, or recording the physiological data from the patient less frequently when the activity class indicates that the physiological data will be unreliable due to patient position or artifact caused by motion of the patient.

20. The method of claim 15, wherein the activity class is selected from a predefined set of activity classes that includes one or more of a lying class, a reclining class, a sitting class, a standing class, a moving class, a walking class, and a moving hand or finger class.