Personal monitoring system

• US 9,028,405 B2
• Filed: 01/25/2014
• Issued: 05/12/2015
• Est. Priority Date: 05/16/2006
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Empire IP LLC
• Inventors: Tran, Bao
• Primary Examiner(s): Gedeon, Brian T
• Application Number:
  US14/164,172
• Publication Number:
  US 20140143064A1
• Time in Patent Office: 472 Days
• Field of Search: None
• US Class Current: 600/300
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0008 Temperature signals
• 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 5/01 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0265 using electromagnetic means, e.g. electromagnetic flowmeter
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/0536 Impedance imaging, e.g. by tomography
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14551 : for measuring blood gases
• CPC Class Codes: A61B 5/165 : Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/282 : Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/291 : for electroencephalography [EEG]
• CPC Class Codes: A61B 5/316 : Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 : Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/377 : using evoked responses
• 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 5/4023 : Evaluating sense of balance
• CPC Class Codes: A61B 5/411 : Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/4519 : Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/4528 : Joints A61B5/4533, A61B5/4538 take precedence
• CPC Class Codes: A61B 5/4806 : Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4833 : Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/4866 : Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6803 : Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/6814 : Head
• CPC Class Codes: A61B 5/6816 : Ear lobe
• CPC Class Codes: A61B 5/6887 : mounted on external non-worn devices, e.g. non-medical devices
• CPC Class Codes: A61B 5/72 : Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7257 : using Fourier transforms
• CPC Class Codes: A61B 5/726 : using Wavelet transforms
• CPC Class Codes: A61B 5/7267 : involving training the classification device
• 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 5/747 : in case of emergency, i.e. alerting emergency services
• CPC Class Codes: A61B 7/00 : Instruments for auscultation
• CPC Class Codes: A61B 8/06 : Measuring blood flow measuring volume flow in general G01F, e.g. G01F1/66, G01F1/72; measuring speed of fluids in general G01P5/00
• CPC Class Codes: A61B 8/0808 : for diagnosis of the brain
• CPC Class Codes: A61B 8/4472 : Wireless probes
• CPC Class Codes: A61B 8/52 : Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves image processing per se G06T
• CPC Class Codes: A61B 8/56 : Details of data transmission or power supply
• CPC Class Codes: A61B 8/565 : involving data transmission via a network
• CPC Class Codes: G06F 16/24 : Querying
• CPC Class Codes: G06Q 30/0269 : based on user profile or attribute
• CPC Class Codes: G08B 21/0453 : worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G16H 20/13 : delivered from dispensers
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass

Abstract

A system includes a processor; a cellular, WiFi, or Bluetooth transceiver coupled to the processor; an accelerometer or a motion sensor coupled to the processor; and a sensor coupled to the processor to sense mood, wherein text, image, sound, or video is rendered in response to the sensed mood.

Claims

1. A system, comprising:

a processor;

WiFi, and Bluetooth transceivers coupled to the processor;

computer code to record speech and user movement;

an accelerometer and a gyroscope coupled to the processor;

a sensor facing user skin and coupled to the processor to sense one or more vital signs; and

a health application, executed by the processor, to collect user vital sign or fitness data and generate an analysis of at least one of;

exercise and sleep.

2. The system of claim 1, comprising an operating system in communication with the health application executed by the processor to store the analysis.

3. The system of claim 1, comprising two or more additional sensors, wherein the two or more additional sensors comprise two or more of:

a blood pressure sensor, a temperature sensor, a sweat sensor.

4. The system of claim 1, comprising a wearable housing conforming to a wrist.

5. The system of claim 1, comprising a positioning system to provide location information.

6. The system of claim 1, comprising a display in communication with the health application to display the analysis.

7. The system of claim 1, wherein the health application generates an analysis indicating calorie consumption, exercise activity, or glucose level.

8. The system of claim 1, wherein the detected vital sign is used to select an advertisement, music or media content for a user.

9. A mobile system, comprising:

a transceiver to communicate data via a personal area network (PAN);

an accelerometer and a gyroscope;

a processor coupled to the transceiver, the accelerometer and the gyroscope, the processor executing one or more applications to record user speech and to record data regarding movement detected by the accelerometer and the gyroscope;

two or more sensors in communication with the processor to detect user vital sign data; and

a health application executed by the processor to generate a health analysis using the vital sign data and the data regarding movement detected by the accelerometer and the gyroscope, wherein the transceiver communicates the analysis to another computer via the PAN.

10. The system of claim 9, wherein the two or more sensors comprise sensors to contact skin and capture signals from a user.

11. The system of claim 10, wherein the two or more sensors comprise sensors to detect two or more of:

heart rate, respiration rate, blood pressure, temperature, oxygen saturation, and sweat.

12. The system of claim 9, comprising a wearable housing in the shape of a wristwatch or eyeglasses.

13. The system of claim 12, wherein the transceiver receives, via the PAN, at least one of an MMS, SMS, email or voice message, and wherein the processor generates an alert causing the wearable housing to vibrate.

14. The system of claim 9, wherein the health analysis comprises at least one of:

calories burned, exercise activity and sleep.

15. The system of claim 9, wherein the one or more applications to record user speech comprise memory to store recorded speech, and wherein the transceiver communicates the recorded user speech to another computer via the PAN.

16. A mobile system, comprising:

a processor;

an accelerometer coupled to the processor;

a cellular transceiver coupled to the processor;

a touch screen display coupled to the processor; and

a finger sensor independent of the touch screen and coupled to the processor to authenticate a user.

17. The system of claim 16, comprising a health application, executed by the processor, wherein the health application:

receives data from at least one of;

the accelerometer regarding movement data, or data from a heart rate sensor regarding heart rate data;

generates a health analysis indicating at least one of;

calories burned, sleep data and exercise data; and

displays the health analysis on the touch screen display.

18. The system of claim 17 further comprising a positioning system coupled to the processor, wherein the positioning system generates location information including a location of the processor.

19. The system of claim 18, wherein the health application:

receives movement data from the accelerometer;

receives location information from the positioning system regarding a plurality of locations at which the processor is located;

generates a health analysis using at least the location information and the movement data, the health analysis comprising at least a display of the plurality of locations; and

wherein the health application causes the touch screen display to display a map indicating the plurality of locations.

20. The system of claim 19 further comprising a WiFi or Bluetooth transceiver coupled to the processor, and wherein the cellular transceiver coupled to the processor receives at least one of an SMS, MMS, email and voice message, and wherein the processor transmits, via the WiFi or Bluetooth transceiver, to another computer connected to the processor via a personal area network (PAN), a notification of the SMS, MMS, email or voice message.