Systems and methods for sleep monitoring

• US 9,294,732 B2
• Filed: 02/27/2013
• Issued: 03/22/2016
• Est. Priority Date: 08/14/2012
• Status: Expired due to Fees

• Current Assignee: Good Sleep, LLC
• Original Assignee: Good Sleep, LLC
• Inventors: Gillette, Christopher J.
• Primary Examiner(s): Tran, Thai
• Assistant Examiner(s): Smith, Stephen
• Application Number:
  US13/778,317
• Publication Number:
  US 20140049627A1
• Time in Patent Office: 1,119 Days
• US Class Current: 1/1
• 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 5/01 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 5/03 Detecting, measuring or recording fluid pressure within the body other than blood pressure, e.g. cerebral pressure; Measuring pressure in body tissues or organs A61B5/205 takes precedence
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/30 Input circuits therefor
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/398 Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/6843 Monitoring or controlling sensor contact pressure
• 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 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 7/00 Instruments for auscultation
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

A mobile computing device for performing a sleep study includes a camera, a display, a processor, and a tangible computer readable medium. The tangible computer readable medium includes a sleep study application embodied as code for selectively displaying a request to capture an image of a user of the mobile computing device using the camera. The sleep study application further includes code for, after storage of the image: selectively prompting a data collection module to store data samples generated based on signals generated using at least one of an electromyography sensor connected to the user, an electroencephalography sensor connected to the user, an electrocardiogram sensor connected to the user, and an oxygen saturation sensor connected to the user, an electrooculography sensor connected to the user, a temperature sensor connected to the user, and a pressure sensor connected to the user; and receiving the data samples from the data collection module.

Claims

1. A mobile computing device for performing a sleep study, the mobile computing device comprising:

a camera;

a display;

a processor;

a tangible computer readable medium including a sleep study application embodied as code for;

selectively displaying a request to capture an image of a user of the mobile computing device using the camera;

storing the image;

in response to the storage of the image, selectively triggering a data collection module to begin storing data samples generated based on signals generated using at least one of an electromyography (EMG) sensor connected to the user, an electroencephalography (EEG) sensor connected to the user, an electrocardiogram (ECG) sensor connected to the user, and an oxygen saturation (SPO2) sensor connected to the user, an electrooculography (EOG) sensor connected to the user, a temperature sensor connected to the user, and a pressure sensor connected to the user;

in response to disconnection of at least one of the EMG sensor, the EEG sensor, the ECG sensor, the SPO2 sensor, the EOG sensor, the temperature sensor, and the pressure sensor, triggering the data collection module to stop storing data samples generated based on the signals;

in response to a determination that the at least one of the EMG sensor, the EEG sensor, the ECG sensor, the SPO2 sensor, the EOG sensor, the temperature sensor, and the pressure sensor has/have been re-connected, displaying a second request to capture a second image of the user;

storing the second image;

in response to the storage of the second image, selectively triggering the data collection module to continue storing data samples generated based on the signals; and

receiving the data samples from the data collection module.

2. The mobile computing device of claim 1 wherein the sleep study application further includes code for:

displaying the request to capture an image of the user in response to a determination that the at least one of the EMG sensor, the EEG sensor, the ECG sensor, the SPO2 sensor, the EOG sensor, the temperature sensor, and the pressure sensor is/are properly connected to the user.

3. The mobile computing device of claim 1 wherein the sleep study application further includes code for:

triggering the data collection module to stop storing data samples generated based on the signals in response to disconnection of the EMG sensor, the ECG sensor, and the EOG sensor.

4. The mobile computing device of claim 1 wherein the sleep study application further includes code for:

triggering the data collection module to stop storing data samples generated based on the signals in response to disconnection of the SPO2 sensor.

5. The mobile computing device of claim 1 wherein the sleep study application further includes code for:

transmitting sleep study data including the data samples, the image, and the second image to a data server.

6. The mobile computing device of claim 1 wherein the sleep study application further includes code for:

displaying video obtained using the camera while displaying the request to capture an image of the user.

14. The mobile computing device of claim 1 wherein the sleep study application further includes code for comparing the image of the user with the second image of the user.

7. A method for performing a sleep study, comprising:

selectively displaying on a display, by a mobile computing device, a request to capture an image of a user of the mobile computing device using a camera of the mobile computing device;

storing, by the mobile computing device, the image in a tangible computer readable medium; and

in response to the storage of the image;

selectively triggering, by the mobile computing device, a data collection module to begin storing data samples generated based on signals generated using at least one of an electromyography (EMG) sensor connected to the user, an electroencephalography (EEG) sensor connected to the user, an electrocardiogram (ECG) sensor connected to the user, and an oxygen saturation (SPO2) sensor connected to the user, an electrooculography (EOG) sensor connected to the user, a temperature sensor connected to the user, and a pressure sensor connected to the user;

by the mobile computing device, triggering the data collection module to stop storing data samples generated based on the signals in response to disconnection of at least one of the EMG sensor, the EEG sensor, the ECG sensor, the SPO2 sensor, the EOG sensor, the temperature sensor, and the pressure sensor;

displaying, by the mobile computing device, a second request to capture a second image of the user in response to a determination that the at least one of the EMG sensor, the EEG sensor, the ECG sensor, the SPO2 sensor, the EOG sensor, the temperature sensor, and the pressure sensor has/have been re-connected;

storing, by the mobile computing device, the second image in the tangible computer readable medium;

by the mobile computing device, triggering the data collection module to continue storing data samples generated based on the signals in response to the storage of the second image; and

receiving, by the mobile computing device, the data samples from the data collection module.

8. The method of claim 7 further comprising:

displaying, by the mobile computing device, the request to capture an image of the user in response to a determination that the at least one of the EMG sensor, the EEG sensor, the ECG sensor, the SPO2 sensor, the EOG sensor, the temperature sensor, and the pressure sensor is/are properly connected to the user.

9. The method of claim 7 further comprising:

triggering, by the mobile computing device, the data collection module to stop storing data samples generated based on the signals in response to disconnection of the EMG sensor, the ECG sensor, and the EOG sensor.

10. The method of claim 7 further comprising:

triggering, by the mobile computing device, the data collection module to stop storing data samples generated based on the signals in response to disconnection of the SPO2 sensor.

11. The method of claim 7 further comprising:

transmitting, by the mobile computing device, sleep study data including the data samples, the image, and the second image to a data server.

12. The method of claim 7 further comprising:

displaying on the display, by the mobile computing device, video obtained using the camera while displaying the request to capture an image of the user.

13. The method of claim 7 further comprising:

comparing, by the mobile computing device, the image of the user with the second image of the user.