Remote health monitoring system

• US 8,744,561 B2
• Filed: 05/22/2013
• Issued: 06/03/2014
• Est. Priority Date: 04/15/2011
• Status: Active Grant

• Current Assignee: Infobionic, Inc.
• Original Assignee: Infobionic, Inc.
• Inventors: Fahey, Michael
• Primary Examiner(s): Heller, Tammie K
• Application Number:
  US13/900,376
• Publication Number:
  US 20130253355A1
• Time in Patent Office: 377 Days
• Field of Search: 600/509, 600/523, 607/32, 607/60
• US Class Current: 600/523
• 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 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: G08B 21/10 responsive to calamitous events, e.g. tornados or earthquakes
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A data collection system collects and stores physiological data from an ambulatory patient at a high resolution and/or a high data rate (“more detailed data”) and sends a low-resolution and/or downsampled version of the data (“less detailed data”) to a remote server via a wireless network. The server automatically analyzes the less detailed data to detect an anomaly, such as an arrhythmia. A two-tiered analysis scheme is used, where the first tier is more sensitive and less specific than the second tier. If the more sensitive analysis detects or suspects the anomaly, the server signals the data collector to send more detailed data that corresponds to a time period associated with the anomaly. The more specific second tier analyses the more detailed data to verify the anomaly. The server may also store the received data and make it available to a user, such as via a graphical or tabular display.

Claims

1. A system for monitoring a patient, the system comprising:

a controller configured to communicate with at least one sensor coupled to a patient, the controller configured to receive physiologic data about the patient from the at least one sensor;

a memory configured to store the received physiologic data; and

a wireless transceiver coupled to the controller and configured to (1) transmit at a preset duty cycle, to a remote server, a subset of the received physiologic data, (2) receive from the remote server a signal generated based on the remote server analyzing the subset of the received physiologic data according to a first technique and thereby identifying a health-related anomaly, and (3) transmit, in response to receiving the signal, a portion of the received physiologic data to the remote server for analysis by the remote server according to a second technique having a higher specificity for the health-related anomaly than the first technique.

2. The system of claim 1, wherein the wireless transceiver is configured to transmit the subset of the received physiologic data regardless of whether the subset is indicative of a health-related anomaly.

3. The system of claim 1, wherein the at least one sensor is configured to be coupled to the patient to generate physiologic data about the patient.

4. The system of claim 1, wherein the subset of the received physiologic data is characterized by at least one of:

a lower resolution than the received physiologic data for a corresponding time period, a lower sampling rate than the received physiologic data for a corresponding time period, and having been received from a different sensor than the received physiologic data for a corresponding time period.

5. The system of claim 1, wherein the signal from the remote server identifies a time period surrounding a time period corresponding to the health-related anomaly.

6. The system of claim 1, wherein the controller, the memory, and the wireless transceiver are contained in one physical assembly.

7. The system of claim 6, wherein the physical assembly is a phone.

8. The system of claim 1, wherein the controller, the memory, and the wireless transceiver are contained in more than one physical assembly.

9. The system of claim 1, wherein the health-related anomaly is an arrhythmia.

10. A method for monitoring a patient, the method comprising:

receiving physiologic data about the patient;

storing the received physiologic data;

transmitting at a preset duty cycle, from a transceiver to a remote server, a subset of the received physiologic data,

receiving from the remote server a signal generated based on the remote server analyzing the subset of the received physiologic data according to a first technique and thereby identifying a health-related anomaly, and

transmitting, in response to receiving the signal, a portion of the received physiologic data from the transceiver to the remote server for analysis by the remote server according to a second technique having a higher specificity for the health-related anomaly than the first technique.

11. The method of claim 10, wherein the subset of the received physiologic data is transmitted regardless of whether the subset is indicative of a health-related anomaly.

12. The method of claim 10, wherein a controller receives the physiologic data from at least one sensor coupled to the patient, and wherein the controller is communicatively coupled to the at least one sensor.

13. The method of claim 12, wherein a wireless transceiver performs the transmitting steps, and the controller, a memory for storing the physiologic data, and the wireless transceiver are contained in one physical assembly.

14. The method of claim 13, wherein the physical assembly is a phone.

15. The method of claim 12, wherein a wireless transceiver performs the transmitting steps, and the controller, a memory for storing the physiologic data, and the wireless transceiver are contained in more than one physical assembly.

16. The method of claim 10, wherein the subset of the received physiologic data is characterized by at least one of:

a lower resolution than the received physiologic data for a corresponding time period, a lower sampling rate than the received physiologic data for a corresponding time period, and having been received from a different sensor than the received physiologic data for a corresponding time period.

17. The method of claim 10, wherein the signal from the remote server identifies a time period surrounding a time period corresponding to the health-related anomaly.

18. The method of claim 10, wherein the health-related anomaly is an arrhythmia.