Systems And Methods For Sleep Monitoring

• US 20140051943A1
• Filed: 02/27/2013
• Published: 02/20/2014
• Est. Priority Date: 08/14/2012
• Status: Abandoned Application

• Current Assignee: Good Sleep, LLC
• Original Assignee: Good Sleep, LLC
• Inventors: GILLETTE, Christopher J.
• Application Number:
  US13/778,241
• Publication Number:
  US 20140051943A1
• Time in Patent Office: Days
• US Class Current: 600/301
• 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 data collection module for performing a sleep study is described. The data collection module includes a first module, a second module, and a collection control module. The first module receives an electrocardiogram (ECG) signal from an ECG sensor connected to a user. The second module receives an electroencephalography (EEG) signal from an EEG sensor connected to the user. The collection control module: communicates with a mobile computing device; in response to a prompt from the mobile computing device, stores data samples generated based on the ECG and EEG signals in a tangible computer readable medium; and selectively transmits the data samples to the mobile computing device.

Claims

1. A data collection module for performing a sleep study, the data collection module comprising:

a first module that receives an electrocardiogram (ECG) signal from an ECG sensor connected to a user;

a second module that receives an electroencephalography (EEG) signal from an EEG sensor connected to the user; and

a collection control module that;

communicates with a mobile computing device;

in response to a prompt from the mobile computing device, stores data samples generated based on the ECG and EEG signals in a tangible computer readable medium; and

selectively transmits the data samples to the mobile computing device.

2. The data collection module of claim 1 wherein the collection control module communicates with the mobile computing device over a data cable connected at a first end to the data collection module and at a second end to the mobile computing device.

3. The data collection module of claim 1 wherein, in response to the prompt, the collection control module further stores data samples generated based on an electromyography (EMG) signal from an EMG sensor in the tangible computer readable medium.

4. The data collection module of claim 1 wherein, in response to the prompt, the collection control module further stores data samples generated based on an oxygen saturation (SPO2) signal from an SPO2 sensor in the tangible computer readable medium.

5. The data collection module of claim 1 wherein:

the first module amplifies and filters the ECG signal to produce a processed ECG signal; and

in response to the prompt from the mobile computing device, the collection control module stores data samples generated based on the processed ECG signal in the tangible computer readable medium.

6. The data collection module of claim 5 wherein the collection control module samples the processed ECG signal at a predetermined rate, digitizes the samples to produce digital values, and stores the digital values in the tangible computer readable medium.

7. The data collection module of claim 5 wherein the first module filters the ECG signal using a high pass filter (HPF) and a low pass filter (LPF).

8. The data collection module of claim 1 wherein:

the second module amplifies and filters the EEG signal to produce a processed EEG signal; and

in response to the prompt from the mobile computing device, the collection control module stores data samples generated based on the processed EEG signal in the tangible computer readable medium.

9. The data collection module of claim 8 wherein the collection control module samples the processed EEG signal at a predetermined rate, digitizes the samples to produce digital values, and stores the digital values in the tangible computer readable medium.

10. The data collection module of claim 1 wherein the collection control module transmits the data samples to the mobile computing device in response to a determination that a predetermined number of data samples have been stored.

11. A method comprising:

receiving, by a data collection module, an electrocardiogram (ECG) signal from an ECG sensor connected to a user;

receiving, by the data collection module, an electroencephalography (EEG) signal from an EEG sensor connected to the user;

communicating, by the data collection module, with a mobile computing device;

in response to a prompt from the mobile computing device, storing, by the data collection module, data samples generated based on the ECG and EEG signals in a tangible computer readable medium; and

selectively transmitting, by the data collection module, the data samples to the mobile computing device.

12. The method of claim 11 wherein the communicating comprises communicating, by the data collection module, with the mobile computing device over a data cable connected at a first end to the data collection module and at a second end to the mobile computing device.

13. The method of claim 11 further comprising storing, by the data collection module in response to the prompt, data samples generated based on an electromyography (EMG) signal from an EMG sensor in the tangible computer readable medium.

14. The method of claim 11 further comprising storing, by the data collection module in response to the prompt, data samples generated based on an oxygen saturation (SPO2) signal from an SPO2 sensor in the tangible computer readable medium.

15. The method of claim 11 further comprising:

amplifying and filtering the ECG signal, by the data collection module, to produce a processed ECG signal; and

storing, by the data collection module in response to the prompt, data samples generated based on the processed ECG signal in the tangible computer readable medium.

16. The method of claim 15 further comprising:

sampling, by the data collection module, the processed ECG signal at a predetermined rate;

digitizing, by the data collection module, the samples to produce digital values; and

storing, by the data collection module, the digital values in the tangible computer readable medium.

17. The method of claim 15 wherein the filtering comprises filtering the ECG signal using a high pass filter (HPF) and a low pass filter (LPF).

18. The method of claim 11 further comprising:

amplifying and filtering the EEG signal, by the data collection module, to produce a processed EEG signal; and

storing, by the data collection module in response to the prompt, data samples generated based on the processed EEG signal in the tangible computer readable medium.

19. The method of claim 18 further comprising:

sampling, by the data collection module, the processed EEG signal at a predetermined rate;

digitizing, by the data collection module, the samples to produce digital values; and

storing, by the data collection module, the digital values in the tangible computer readable medium.

20. The method of claim 11 further comprising transmitting, by the data collection module, the data samples to the mobile computing device in response to a determination that a predetermined number of data samples have been stored.