MONITORING AND MANAGING SLEEP BREATHING DISORDERS

• US 20140350355A1
• Filed: 05/27/2014
• Published: 11/27/2014
• Est. Priority Date: 05/27/2013
• Status: Abandoned Application

• Current Assignee: P-Tech HM Ltd.
• Original Assignee: P-Tech HM Ltd.
• Inventors: AISIC, Ilan, TOV, Naveh
• Application Number:
  US14/287,270
• Publication Number:
  US 20140350355A1
• Time in Patent Office: Days
• US Class Current: 600/301
• 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R

Abstract

A method of monitoring a patient to identify a sleep breathing disorder, comprising:

• a) Collecting, using a handheld monitoring device, a plurality of respiratory sounds of a patient using one or more sensors which are connected to the handheld monitoring device.
• b) Recording environment noise during the sleep session and averaging the environment noise to set an average noise level.
• c) Calculating a dynamic threshold according to the average noise level.
• d) Deriving a plurality of amplitudes from the plurality of respiratory sounds according to the dynamic threshold.
• e) Identifying a sleep breathing disorder event by analyzing a pattern of the plurality of amplitudes.

Claims

1. A method of monitoring a patient to identify a sleep breathing disorder, comprising:

collecting, using a handheld monitoring device, a plurality of respiratory sounds of a patient during a sleep session using at least one sensor, said at least one sensor connects to said handheld monitoring device;

recording environment noise during said sleep session and averaging said environment noise to set an average noise level;

calculating a dynamic threshold according to said average noise level;

deriving a plurality of amplitudes from said plurality of respiratory sounds according to said dynamic threshold; and

identifying a sleep breathing disorder event by analyzing a pattern of said plurality of amplitudes.

2. The method of claim 1, wherein identifying said at least one sleep breathing disorder event includes avoiding a false detection of said at least one sleep breathing disorder event by analyzing said pattern.

3. The method of claim 1, further comprising transmitting said pattern to at least one caregiver, said at least one caregiver diagnoses said at least one sleep breathing disorder event by analyzing said pattern.

4. The method of claim 3, further comprising generating at least one alert to said at least one caregiver when said at least one sleep breathing disorder event occurs.

5. The method of claim 1, further comprising initiating stimulation to said patient to cause said patient to exit said at least one sleep breathing disorder event by exciting said patient through a physical intervention.

6. The method of claim 1, wherein said sensor includes a microphone sampling said respiratory sound.

7. The method of claim 6, wherein said plurality of amplitudes is corrected to reduce fading effects of said microphone by analyzing timing characteristics of previous amplitudes of said plurality of amplitudes.

8. The method of claim 1, wherein said plurality of respiratory sounds include at least one member of a group consisting of:

inhalation sound, exhalation sound, respiratory pause, snore sound and wheeze sound.

9. The method of claim 1, further comprising collecting a plurality of chest movement measurements to identify excessive chest movement which is indicative of said at least one sleep breathing disorder event by analyzing said plurality of chest movement measurements.

10. The method of claim 1, further comprising collecting a plurality of heart beat rate measurements to identify increased heart beat rate which is indicative of said at least one sleep breathing disorder event by analyzing said plurality of heart beat rate measurements.

11. The method of claim 1, further comprising collecting a plurality of blood oxygenation level measurements to identify decreased blood oxygenation level which is indicative of said at least one sleep breathing disorder event by analyzing said plurality of blood oxygenation level measurements.

12. The method of claim 1, wherein said handheld monitoring device executes at least one software application program for collecting said plurality of respiratory sounds, recording said environment noise, calculating said dynamic threshold, deriving said plurality of amplitudes, identifying said at least one sleep breathing disorder and transmitting said pattern to at least one caregiver.

13. A method of prioritizing diagnosis of sleep breathing disorder events of a plurality of patients, comprising:

collecting a plurality of sleep session records from a plurality of patients using a plurality of client terminals;

identifying a plurality of sleep breathing disorder events by analyzing said plurality of sleep session records; and

prioritizing said sleep breathing disorder events in a priority order according to severity of said plurality of sleep breathing disorder events; and

notifying at least one caregiver of said plurality of sleep breathing disorder events in said priority order by transmitting at least one alert to said at least one caregiver.

14. The method of claim 13, wherein said at least one caregiver diagnoses said plurality of sleep breathing disorder by analyzing said plurality of sleep session records.

15. The method of claim 13, wherein said at least one caregiver adjusts a plurality of alert rules to define at least one condition for transmitting said at least one alert.

16. The method of claim 15, wherein said plurality of alert rules are set automatically to default values.

17. The method of claim 13, wherein said priority order is set automatically according to sleep breathing disorder history of said plurality of patients.

18. A system for monitoring sleep breathing disorders of patients, comprising:

a monitoring module which collects a plurality of respiratory sounds of at least one patient using at least one sensor;

a processing module which identifies a plurality of amplitudes derived from said plurality of respiratory sounds by dynamically adjusting a threshold to reduce environment noise;

an analysis module which identifies at least one sleep breathing disorder event by analyzing a pattern of said plurality of amplitudes;

a management module which aggregates said pattern for presentation to at least one caregiver for diagnosis; and

an alert module which informs said at least one caregiver of said at least one sleep breathing disorder by generating at least one alert to said at least one caregiver.

19. The system of claim 18, wherein said management module includes a user interface module for presenting said presentation to said at least one caregiver.

20. The system of claim 18, wherein said at least one caregiver adjusts at least one alert condition by adjusting a plurality of alert rules through said management module.

21. The system of claim 20, wherein said management module automatically sets said plurality of alert rules according to sleep breathing disorder history of said at least one patient, said sleep breathing disorder history is stored by said management module.

22. The system of claim 18, further comprising a stimulation module which initiates a stimulation to said at least one patient to cause said at least one patient to exit said at least one sleep breathing disorder event, said stimulation is generated through at least one stimulation device.

23. The system of claim 18, wherein said system is a distributed system comprising of at least one handheld device which identifies said at least one sleep breathing disorder event by monitoring said at least one patient and at least one client terminal used by said at least one caregiver for managing said at least one sleep breathing disorder event, said at least one handheld device and said at least one client terminal communicate with each other using at least one of a plurality of networks.

24. The system of claim 23, wherein said distributed system includes a central unit which provides management services, said central unit communicates with said at least one handheld device and said at least one client terminal using at least one of said plurality of networks.