Fitness Monitoring

• US 20150359467A1
• Filed: 06/23/2015
• Published: 12/17/2015
• Est. Priority Date: 05/24/2006
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Empire IP LLC
• Inventors: Tran, Bao
• Application Number:
  US14/747,710
• Publication Number:
  US 20150359467A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2505/01 Emergency care
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0468 Built-in electrodes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/0205 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 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take 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 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• 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 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1116 : Determining posture transitions
• CPC Class Codes: A61B 5/1117 : Fall detection
• CPC Class Codes: A61B 5/1118 : Determining activity level
• CPC Class Codes: A61B 5/112 : Gait analysis
• CPC Class Codes: A61B 5/1124 : Determining motor skills
• CPC Class Codes: A61B 5/1128 : using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/1176 : Recognition of faces
• CPC Class Codes: A61B 5/14532 : for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/224 : Measuring muscular strength
• CPC Class Codes: A61B 5/30 : Input circuits therefor
• CPC Class Codes: A61B 5/318 : Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 : Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 : Electromyography [EMG]
• CPC Class Codes: A61B 5/4023 : Evaluating sense of balance
• CPC Class Codes: A61B 5/4076 : Diagnosing or monitoring particular conditions of the nervous system A61B5/4821, A61B5/4824 take precedence
• 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 5/4803 : Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/4806 : Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/6816 : Ear lobe
• CPC Class Codes: A61B 5/6822 : Neck
• CPC Class Codes: A61B 5/6826 : Finger
• CPC Class Codes: A61B 5/6838 : Clamps or clips
• CPC Class Codes: A61B 5/6898 : Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7203 : for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7214 : using signal cancellation, e.g. based on input of two identical physiological sensors spaced apart, or based on two signals derived from the same sensor, for different optical wavelengths
• CPC Class Codes: A61B 5/7225 : Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/726 : using Wavelet transforms
• CPC Class Codes: A61B 5/7267 : involving training the classification device
• CPC Class Codes: A61B 5/7271 : Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7435 : Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7455 : characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: A61B 5/7465 : Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 8/0808 : for diagnosis of the brain
• 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: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/60 : relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 30/20 : for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/63 : for local operation
• 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

Abstract

A mobile system for a user includes a telephone having one or more sensors to capture fitness data or vital sign data, the telephone having a wireless transceiver coupled to the processor to communicate fitness or vital sign data over a personal area network; and a processor coupled to the personal area network to process the fitness or vital sign data.

Claims

1. A system comprising:

a processor;

a vibration motor configured to communicate with the processor;

an accelerometer configured to communicate with the processor, the accelerometer to capture data regarding movement;

one or more light emitting diodes;

a memory to store a plurality of data captured by the accelerometer; and

a wireless transmitter configured to communicate with a remote device via Wi-FI or Bluetooth.

4. The system of claim 1 further comprising computer code, executable by the processor, to cause the vibration motor to vibrate.

5. The system of claim 4, wherein the computer code to cause the vibration motor to vibrate includes instructions to, when executed by the processor, cause the vibration motor to vibrate at a predetermined time.

6. The system of claim 1 further comprising a health application configured to:

a. receive the data regarding movement; and

b. generate one or more displays using the data regarding movement.

7. The system of claim 6 wherein the health application is configured to receive the data regarding movement via the wireless transmitter.

8. The system of claim 1 further comprising computer code, executable by the processor, to activate the one or more light emitting diodes.

9. The system of claim 8, wherein the computer code to activate the one or more light emitting diodes includes instructions to, when executed by the processor, activate the one or more light emitting diodes based on at least the data regarding movement captured by the accelerometer.

10. The system of claim 1, further comprising computer code, executable by the processor, to determine an amount of calories burned using at least the data regarding movement.

11. The system of claim 10 further comprising computer code, executable by the processor, to activate the one or more light emitting diodes based on at least the determined amount of calories burned.

12. The system of claim 1, further comprising computer code, executable by the processor, to determine an amount of steps taken using at least the data regarding movement.

13. The system of claim 12 further comprising computer code, executable by the processor, to activate the one or more light emitting diodes based on at least the determined amount of steps taken.

2. The system of claim further comprising computer code, executable by the processor, to generate sleep data.

3. The system of claim 2 wherein the computer code to generate sleep data is configured to use the data regarding movement captured by the accelerometer to generate sleep data.

14. A system comprising:

a processor;

a heart sensor, configured to communicate with the processor, to capture data regarding heart rate;

a vibration motor configured to communicate with the processor;

an accelerometer configured to communicate with the processor, the accelerometer to capture data regarding movement;

a touch screen display configured to communicate with the processor; and

a wireless transceiver configured to communicate with the processor and configured to communicate with a remote device via Wi-FI or Bluetooth.

15. The system of claim 14 further comprising a GPS sensor to capture location data.

16. The system of claim 15 further comprising computer code, executable by the processor, to generate display data regarding a plurality of visited locations using at least the location data captured by the GPS sensor.

17. The system of claim 16 wherein the touch screen is configured to display the display data regarding the plurality of visited locations.

18. The system of claim 14 further comprising computer code, executable by the processor, to generate display data regarding at least two of calories burned, steps taken, and distance traveled, using at least the data regarding movement.

19. The system of claim 18, wherein the touch screen is configured to display one or more of the display data regarding calories burned, steps taken, and distance traveled.

20. The system of claim 14 wherein the wireless transceiver is configured to receive text messaging data from a remote device, and wherein the touch screen is configured to display the received text messaging data.