Devices for diagnosing sleep apnea or other conditions and related systems and methods

• US 9,820,694 B2
• Filed: 08/10/2015
• Issued: 11/21/2017
• Est. Priority Date: 11/15/2010
• Status: Active Grant

• Current Assignee: Louis J. Wilson
• Original Assignee: Louis J. Wilson
• Inventors: Wilson, Louis J.
• Primary Examiner(s): Natnithithadha, Navin
• Application Number:
  US14/822,850
• Publication Number:
  US 20160038084A1
• Time in Patent Office: 834 Days
• Field of Search: 600529-543, 600484
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0803 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/091 Measuring volume of inspired or expired gases, e.g. to determine lung capacity
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/6847 mounted on an invasive device
• CPC Class Codes: A61B 5/6852 Catheters
• CPC Class Codes: A61B 5/687 Oesophagus
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 8/12 in body cavities or body tracts, e.g. by using catheters catheters per se A61M25/00
• CPC Class Codes: A61M 16/0003 Accessories therefor, e.g. sensors, vibrators, negative pressure
• CPC Class Codes: A61M 16/04 Tracheal tubes catheters in general A61M25/00

Abstract

A system includes a sensor device having a body configured to be inserted into an airway of a patient and one or more sensors mounted in or on the body. The one or more sensors are configured to collect sensor data associated with the airway of the patient. The system also includes a signal analyzer configured to analyze the sensor data. The one or more sensors could include one or more microphones. The signal analyzer could identify volume and/or pitch characteristics of the sensor data, perform pattern recognition to identify one or more patterns using the volume and/or pitch characteristics, and use the one or more patterns to identify a type, a location, and/or a degree of airway obstruction. This could be done, for instance, to determine if the patient suffers from obstructive sleep apnea or other condition that affects his or her airway.

Claims

1. A system comprising:

a sensor device configured to be inserted through a mouth or a nose of a patient into an upper airway of the patient, the sensor device comprising multiple sensors configured to capture and transmit sensor data at multiple spaced-apart locations along the upper airway of the patient, the sensor data comprising vibrational or acoustic data associated with the upper airway of the patient;

at least one interface configured to receive the sensor data; and

at least one processing device configured to analyze the sensor data to identify one or more obstructions within the upper airway of the patient, wherein the at least one processing device is configured to identify the one or more obstructions within the upper airway of the patient by determining whether one or more patterns of airway noise are present in the upper airway of the patient based on the vibrational or acoustic data captured at the multiple spaced-apart locations along the upper airway of the patient.

2. The system of claim 1, wherein the at least one interface is physically coupled to the sensor device.

3. The system of claim 1, wherein the at least one processing device is configured to identify at least one of:

volume characteristics and pitch characteristics of the sensor data.

4. The system of claim 3, wherein the at least one processing device is configured to perform pattern recognition in order to identify the one or more patterns using at least one of the volume characteristics and the pitch characteristics of the sensor data.

5. The system of claim 4, wherein the at least one processing device is configured to use the one or more patterns to identify at least one of:

a type, a location, and a degree of the one or more obstructions within the upper airway of the patient.

6. The system of claim 1, wherein the at least one processing device is configured to identify one or more locations of one or more sounds within the upper airway of the patient using the sensor data.

7. The system of claim 1, wherein the at least one processing device is configured to identify one or more areas of greatest obstruction within the upper airway of the patient using the sensor data.

8. The system of claim 1, wherein the at least one processing device is configured to analyze the sensor data to determine if the patient suffers from obstructive sleep apnea.

9. The apparatus of claim 1, wherein the sensor data further comprises airway pressure within the upper airway of the patient.

10. A method comprising:

capturing sensor data comprising vibrational or acoustic data using a sensor device, the sensor device configured to be inserted through a mouth or a nose of a patient into an upper airway of the patient, the sensor device comprising multiple sensors configured to capture the vibrational or acoustic data associated with the upper airway of the patient at multiple spaced-apart locations along the upper airway of the patient; and

analyzing the sensor data to identify one or more obstructions within the upper airway of the patient, wherein analyzing the sensor data comprises determining whether one or more patterns of airway noise are present in the upper airway of the patient based on the vibrational or acoustic data captured at the multiple spaced-apart locations along the upper airway of the patient.

11. The method of claim 10, wherein the one or more patterns comprise at least one of:

proximal, middle, or distal pharyngeal obstruction;

generalized pharyngeal obstruction; and

high-pitched proximal, middle, or distal pharyngeal obstruction.

12. The method of claim 10, wherein analyzing the sensor data comprises identifying at least one of:

volume characteristics and pitch characteristics of the sensor data.

13. The method of claim 12, wherein analyzing the sensor data comprises performing pattern recognition in order to identify the one or more patterns using at least one of the volume characteristics and the pitch characteristics of the sensor data.

14. The method of claim 13, wherein analyzing the sensor data comprises using the one or more patterns to identify at least one of:

a type, a location, and a degree of the one or more obstructions within the upper airway of the patient.

15. The method of claim 10, wherein analyzing the sensor data comprises identifying one or more locations of one or more sounds within the upper airway of the patient using the sensor data.

16. The method of claim 10, wherein analyzing the sensor data comprises identifying one or more areas of greatest obstruction within the upper airway of the patient using the sensor data.

17. The method of claim 10, wherein analyzing the sensor data comprises determining if the patient suffers from obstructive sleep apnea.

18. A system comprising:

a sensor device configured to be inserted through a mouth or a nose of a patient into an upper airway of the patient, the sensor device comprising multiple sensors configured to capture and transmit sensor data at multiple spaced-apart locations along the upper airway of the patient, the sensor data comprising vibrational or acoustic data associated with the upper airway of the patient;

interface circuitry configured to receive the sensor data; and

analysis circuitry configured to analyze the sensor data to identify one or more obstructions within the upper airway of the patient, wherein the analysis circuitry is configured to identify the one or more obstructions within the upper airway of the patient by determining whether one or more patterns of airway noise are present in the upper airway of the patient based on the vibrational or acoustic data captured at the multiple spaced-apart locations along the upper airway of the patient.

19. The system of claim 18, wherein the interface circuitry is physically coupled to the sensor device.

20. The system of claim 18, wherein the analysis circuitry is configured to:

identify at least one of;

volume characteristics and pitch characteristics of the sensor data;

perform pattern recognition in order to identify the one or more patterns using at least one of the volume characteristics and the pitch characteristics of the sensor data; and

use the one or more patterns to identify at least one of;

a type, a location, and a degree of the one or more obstructions within the upper airway of the patient.

21. The system of claim 18, wherein the analysis circuitry is configured to at least one of:

identify one or more locations of one or more sounds within the upper airway of the patient using the sensor data; and

identify one or more areas of greatest obstruction within the upper airway of the patient using the sensor data.