Systems using lifestyle database analysis to provide feedback

• US 9,427,190 B1
• Filed: 04/18/2016
• Issued: 08/30/2016
• Est. Priority Date: 06/21/2013
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Hello, Inc.
• Inventors: Proud, James
• Primary Examiner(s): Benlagsir, Amine
• Application Number:
  US15/131,330
• Publication Number:
  US 20160228052A1
• Time in Patent Office: 134 Days
• Field of Search: 340/870.01, 600/534, 600/545
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/08 Sensors provided with means for identification, e.g. barcodes or memory chips
• 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 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/02055 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 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/11 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 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1126 using a particular sensing technique
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 : Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 : Sleep quality
• CPC Class Codes: A61B 5/486 : Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/6823 : Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/7285 : for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: A61B 5/7405 : using sound
• CPC Class Codes: A61B 5/742 : using visual displays A61B5/339 takes precedence
• 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 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: H04M 11/002 : with telemetering systems telemetering in general G08C
• CPC Class Codes: H04W 4/70 : Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A method is provided for utilizing a personal monitoring device or other personal logging device, to assist an individual in a lifestyle control program. The method includes storing lifestyle data from a statistically large group of persons in a database, collecting, in a personal logging device, corresponding personal lifestyle data; feeding the data from the personal logging device to the database; performing a statistical analysis of the collected lifestyle data, and producing an output and providing feedback to the user based on correlations.

Claims

1. A system for using telemetry data based on monitoring of an individual, comprising:

a monitoring device that includes a microphone, an RF transmitter and sensors to determine air quality, sound level, sound quality, light quality and ambient temperature near the individual, the RF transmitter serving as a communication system;

a telemetry system with a database coupled to the monitoring device, the telemetry system in operation selecting records of sleep information and sleep behavior information data of the individual, the telemetry system and the monitoring device at least partially analyzing the sleep information and the sleep behavior information data of the individual to calculate or derive sleep onset and wake time, sleep interruptions, and quality and depth of sleep of the individual;

one or more analysis tools including at least an accelerometer or a movement detection device that measures movement of the individual, the accelerator or the movement detection device configured to calculate or derive the sleep onset and the wake time, the sleep interruptions, and the quality and the depth of sleep of the individual in response of the movement of the individual, the microphone configured to record an individual'"'"'s movement sounds detected by the accelerometer or the movement detection device in response of the movement of the individual, the accelerometer or the movement detection device configured to cause the microphone to stop recording the individual'"'"'s movement sounds when the movement sounds of the individual are not directed to a sleep related parameter; and

a feedback control system or subsystem that analyzes a measured sensor signal from at least one of the sensors, the accelerometer or the movement detection device, and the feedback control system or subsystem can provide an alert or a feedback signal to the individual, wherein the feedback control system or subsystem in operation provides the alert or the feedback signal when the measured sensor signal does not equal or exceed a threshold level, the measured sensor signal is adjusted until the measured sensor signal falls within a desired range of an expected threshold level, and wherein the threshold level is predefined or tailored relative to the monitoring device.

2. The system of claim 1, wherein the feedback control system or subsystem is at the monitoring device.

3. The system of claim 1, wherein the feedback control system or subsystem is standalone.

4. The system of claim 1, further comprising:

wherein the monitoring device communicates the feedback signal or the alert to the individual.

5. The system of claim 1, further comprising:

a closed-loop system that provides control data to the monitoring device.

6. The system of claim 1, further comprising:

at least one of an audio device or display at the monitoring device to communicate the feedback signal to the individual.

7. The system of claim 1, wherein the feedback signal or the alert is selected from at least one of, lifestyle parameters, medical conditions, lifestyle events, exercise parameters, battery of the monitoring device, sensor function, pending therapy delivery, medical alerts, a status of a medical condition and a medical measurement or parameter.

8. The system of claim 1, wherein the feedback control system or subsystem in operation provides that when a desired feedback signal or alert level is reached, the desired feedback signal or the alert level responses are maintained at current settings to maintain the measured sensor signal within the desired range of the expected threshold level.

9. The system of claim 1, wherein the feedback control system or subsystem in operation detects an amplitude or a frequency of the measured sensor signal.

10. The system of claim 1, wherein the feedback control system or subsystem in operation recognizes an intended alert pattern based on a morphology of the measured sensor signal.

11. The system of claim 1, wherein the feedback control system or subsystem in operation analyzes a frequency power band of the measured sensor signal for correspondence to a frequency and an amplitude of the measured sensor signal.

12. The system of claim 1, wherein the feedback control system or subsystem in operation evaluates a measured signal waveform for correspondence to a frequency or an amplitude of the measured sensor signal.

13. The system of claim 1, wherein the feedback control system or subsystem in operation terminates the feedback signal or the alert if a predetermined maximum alert duration has expired.

14. The system of claim 1, wherein when a maximum feedback signal or alert duration is not reached, the feedback signal or the alert is held at current signal settings.

15. A system for using telemetry data based on monitoring of an individual, comprising:

a monitoring device that includes a microphone, an RF transmitter and sensors to determine air quality, sound level, sound quality, light quality and ambient temperature near the individual, the RF transmitter serving as a communication system;

a telemetry system with a database coupled to the monitoring device, the telemetry system in operation selecting records of sleep information and sleep behavior information data of the individual, the telemetry system and the monitoring device at least partially analyzing the sleep information and the sleep behavior information data of the individual to calculate or derive sleep onset and wake time, sleep interruptions, and quality and depth of sleep of the individual;

one or more analysis tools including at least an accelerometer or a movement detection device that measures movement of the individual, the accelerator or the movement detection device configured to calculate or derive the sleep onset and the wake time, the sleep interruptions, and the quality and the depth of sleep of the individual in response of the movement of the individual, the microphone configured to record an individual'"'"'s movement sounds detected by the accelerometer or the movement detection device in response of the movement of the individual, the accelerometer or the movement detection device configured to cause the microphone to stop recording the individual'"'"'s movement sounds when the movement sounds of the individual are not directed to a sleep related parameter; and

a feedback control system or subsystem that analyzes a measured sensor signal from at least one of the sensors, the accelerometer or the movement detection device, and the feedback control system or subsystem can provide an alert or a feedback signal to the individual, wherein the feedback control system or subsystem is at the telemetry system and wherein the feedback control system or subsystem in operation provides the alert or the feedback signal when the measured sensor signal does not equal or exceed a threshold level, the measured sensor signal is adjusted until the measured sensor signal falls within a desired range of an expected threshold level, and wherein the threshold level is predefined or tailored relative to the monitoring device.