METHODS AND SYSTEMS FOR MONITORING OF HUMAN BIOLOGICAL SIGNALS

• US 20150351700A1
• Filed: 06/05/2015
• Published: 12/10/2015
• Est. Priority Date: 06/05/2014
• Status: Abandoned Application

• Current Assignee: Eight Sleep, Inc
• Original Assignee: Morphy, Inc.
• Inventors: Franceschetti, Matteo, Bassi, Massimo Andreasi
• Application Number:
  US14/732,643
• Publication Number:
  US 20150351700A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A47C 21/00 Attachments for beds, e.g. sheet holders, bed-cover holders bed tables supported on the bedstead A47B23/02; for children's beds A47D7/00, A47D15/00; Ventilating, cooling or heating means in connection with bedsteads or mattresses
• CPC Class Codes: A47C 21/044 with active means, e.g. by using air blowers or liquid pumps
• CPC Class Codes: A47C 21/048 for heating
• CPC Class Codes: A47C 31/123 for beds or mattresses
• CPC Class Codes: A47G 9/0238 Bed linen
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2562/0271 Thermal or temperature sensors
• CPC Class Codes: A61B 2562/063 in a linear array
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• 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 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/4266 sweat secretion
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/6892 Mats
• CPC Class Codes: A61B 5/7455 : characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: A61M 16/161 : with means for measuring the humidity
• CPC Class Codes: A61M 2021/0022 : by the tactile sense, e.g. vibrations
• CPC Class Codes: A61M 2021/0066 : with heating or cooling
• CPC Class Codes: A61M 2021/0083 : especially for waking up
• CPC Class Codes: A61M 21/00 : Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
• CPC Class Codes: A61M 21/02 : for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021
• CPC Class Codes: A61M 2205/0294 : Piezoelectric materials
• CPC Class Codes: A61M 2205/18 : with alarm
• CPC Class Codes: A61M 2205/3303 : Using a biosensor
• CPC Class Codes: A61M 2205/3306 : Optical measuring means
• CPC Class Codes: A61M 2205/3368 : Temperature
• CPC Class Codes: A61M 2205/3375 : Acoustical, e.g. ultrasonic, measuring means
• CPC Class Codes: A61M 2205/3584 : using modem, internet or bluetooth
• CPC Class Codes: A61M 2205/3592 : using telemetric means, e.g. radio or optical transmission
• CPC Class Codes: A61M 2205/3673 : thermo-electric, e.g. Peltier effect, thermocouples, semi-conductors
• CPC Class Codes: A61M 2205/50 : with microprocessors or computers
• CPC Class Codes: A61M 2205/505 : Touch-screens; Virtual keyboard or keypads; Virtual buttons; Soft keys; Mouse touches
• CPC Class Codes: A61M 2230/005 : Parameter used as control input for the apparatus
• CPC Class Codes: A61M 2230/06 : Heartbeat rate only
• CPC Class Codes: A61M 2230/42 : Rate
• CPC Class Codes: A61M 2230/50 : Temperature
• CPC Class Codes: A61M 2230/63 : Motion, e.g. physical activity
• CPC Class Codes: G05B 19/0428 : Safety, monitoring G05B19/0423 takes precedence
• CPC Class Codes: G05B 2219/2614 : HVAC, heating, ventillation, climate control
• CPC Class Codes: G05D 23/1393 : characterised by the use of electric means
• CPC Class Codes: G08B 6/00 : Tactile signalling systems, e.g. personal calling systems
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: H05B 1/0272 : For heating of fabrics

Abstract

Introduced are methods and systems for monitoring human biological signals, analyzing the human biological signals, and based on the analysis, generating notifications to exercise, notifications of possible disease onset, or an alarm requiring immediate help.

Claims

1. A method of monitoring health associated with a user, said method comprising:

obtaining a compound biological signal currently associated with said user;

extracting a current heart rate signal from said compound biological signal, by performing bandpass filtering of said compound biological signal;

obtaining a history of heart rate signals, based on said current heart rate signal;

detecting a discrepancy between said current heart rate signal and said history of heart rate signals, wherein said discrepancy indicates an onset of a disease, wherein detecting said discrepancy comprises;

comparing said current heart rate signal and said history of heart rate signals; and

detecting an abnormal frequency in said current heart rate signal than in said history of heart rate signals; and

generating an alarm based on said discrepancy.

2. The method of claim 1, wherein said abnormal frequency comprises an abnormally high frequency, or an abnormally low frequency.

3. A method of monitoring health associated with a user, said method comprising:

obtaining a compound biological signal currently associated with said user;

extracting a current heart rate signal from said compound biological signal;

extracting a current breathing rate signal from said compound biological signal;

obtaining a history of biological signals, based on said current heart rate signal and said current breathing rate signal, wherein said history comprises history of heart rate signals and history of breathing rate signals;

detecting a discrepancy, wherein said discrepancy indicates an onset of a disease, said discrepancy comprising a difference between said current heart rate signal and said history of heart rate signals, or a difference between said current breathing rate signal and said history of breathing rate signals; and

generating a notification based on said discrepancy.

4. The method of claim 3, wherein extracting said current breathing rate signal from said compound biological signal comprises performing low-pass filtering of said compound biological signal.

5. The method of claim 3, wherein extracting said current heart rate signal from said compound biological signal comprises performing bandpass filtering of said compound biological signal.

6. The method of claim 3, wherein detecting said discrepancy comprises:

comparing said current heart rate signal and said history of heart rate signals; and

detecting a higher frequency in said current heart rate signal than in said history of heart rate signals.

7. The method of claim 3, wherein detecting said discrepancy comprises:

comparing said current heart rate signal and said history of heart rate signals; and

detecting a lower frequency in said current heart rate signal than in said history of heart rate signals.

8. The method of claim 3, wherein detecting said discrepancy comprises:

comparing said current breathing rate signal and said history of breathing rate signals; and

detecting a higher frequency in said current breathing rate signal than in said history of breathing rate signals.

9. The method of claim 3, wherein detecting said discrepancy comprises:

comparing said current breathing rate signal and said history of breathing rate signals; and

detecting a lower frequency in said current breathing rate signal than in said history of breathing rate signals.

10. The method of claim 3, wherein said notification comprises an alarm, a diagnosis of a disease, or a recommendation to exercise.

11. A method of monitoring health associated with a user, said method comprising:

obtaining a compound biological signal associated with said user;

extracting a heart rate signal from said compound biological signal;

extracting a breathing rate signal from said compound biological signal;

obtaining a target biological signal, said target biological signal comprising a target heart rate signal, and a target breathing rate signal;

detecting a discrepancy, said discrepancy comprising a difference between said heart rate signal and said target heart rate signal, or a difference between said breathing rate signal and said target breathing rate signal; and

generating a notification based on said discrepancy.

12. The method of claim 11, wherein extracting said breathing rate signal from said compound biological signal comprises performing low-pass filtering of said compound biological signal.

13. The method of claim 11, wherein extracting said heart rate signal from said compound biological signal comprises performing bandpass filtering of said compound biological signal.

14. The method of claim 11, wherein said target biological signal comprises user-specified biological signal, a biological signal associated with a healthy person, or a biological signal associated with an athlete.

15. The method of claim 11, wherein detecting said discrepancy comprises:

comparing said heart rate signal and said target heart rate signal; and

detecting a higher frequency in said heart rate signal than in said target heart rate signal.

16. The method of claim 11, wherein detecting said discrepancy comprises:

comparing said heart rate signal and said target heart rate signal; and

detecting a lower frequency in said heart rate signal than in said target heart rate signal.

17. The method of claim 11, wherein detecting said discrepancy comprises:

comparing said breathing rate signal and said target breathing rate signal; and

detecting a higher frequency in said breathing rate signal than in said target breathing rate signal.

18. The method of claim 11, wherein detecting said discrepancy comprises:

comparing said breathing rate signal and said target breathing rate signal; and

detecting a lower frequency in said breathing rate signal than in said target breathing rate signal.

19. The method of claim 11, wherein said notification comprises an alarm, a diagnosis of a disease, or a recommendation to exercise.

20. A system comprising:

a processor; and

a storage medium storing computer-executable instructions that, when executed by the processor, cause the system to perform a computer-implemented method, the instructions comprising;

instructions for obtaining a compound biological signal currently associated with said user;

instructions for extracting a current heart rate signal from said compound biological signal;

instructions for extracting a current breathing rate signal from said compound biological signal;

instructions for obtaining a history of biological signals, based on said current heart rate signal and said current breathing rate signal, wherein said history comprises history of heart rate signals and history of breathing rate signals;

instructions for detecting a discrepancy, wherein said discrepancy indicates an onset of a disease, said discrepancy comprising a difference between said current heart rate signal and said history of heart rate signals, or a difference between said current breathing rate signal and said history of breathing rate signals; and

instructions for generating a notification based on said discrepancy.

21. The system of claim 20, wherein said instructions for extracting said current breathing rate signal from said compound biological signal comprise instructions for performing low-pass filtering of said compound biological signal.

22. The system of claim 20, wherein said instructions for extracting said current heart rate signal from said compound biological signal comprise instructions for performing bandpass filtering of said compound biological signal.

23. The system of claim 20, wherein said instructions for detecting said discrepancy comprise:

instructions for comparing said current heart rate signal and said history of heart rate signals; and

instructions for detecting a higher frequency in said current heart rate signal than in said history of heart rate signals.

24. The system of claim 20, wherein said instructions for detecting said discrepancy comprise:

instructions for comparing said current heart rate signal and said history of heart rate signals; and

instructions for detecting a lower frequency in said current heart rate signal than in said history of heart rate signals.

25. The system of claim 20, wherein said instructions for detecting said discrepancy comprise:

instructions for comparing said current breathing rate signal and said history of breathing rate signals; and

instructions for detecting a higher frequency in said current breathing rate signal than in said history of breathing rate signals.

26. The system of claim 20, wherein said instructions for detecting said discrepancy comprise:

instructions for comparing said current breathing rate signal and said history of breathing rate signals; and

instructions for detecting a lower frequency in said current breathing rate signal than in said history of breathing rate signals.

27. The system of claim 20, wherein said notification comprises an alarm, a diagnosis of a disease, or a recommendation to exercise.