Fitness monitoring

• US 9,107,586 B2
• Filed: 05/16/2014
• Issued: 08/18/2015
• Est. Priority Date: 05/24/2006
• 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:
  US14/279,319
• Publication Number:
  US 20140249429A1
• Time in Patent Office: 459 Days
• Field of Search: 128/903, 128/904
• 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 wearable device, comprising:

a processor;

one or more sensors including an accelerometer for detecting movement;

a downloadable health application executed by a remote processor, wherein the health application receives movement data from the accelerometer or the one or more sensors and generates, using the movement data, an analysis of posture; and

the health application drives a user interaction surface, including a display, in communication with the remote processor to display the analysis.

2. The wearable device according to claim 1, further comprising a wireless transceiver in communication with the processor to transmit the analysis over one or more networks.

3. The wearable device according to claim 2, wherein the wireless transceiver communicates over a personal area network.

4. The wearable device according to claim 2, further comprising a positioning system to provide location information of the wearable device, and wherein the display displays a map and, using the location information of the wearable device, displays a representation of the wearable device on the map.

5. The wearable device according to claim 1, wherein the one or more sensors comprise at least one of:

a gyroscope, a differential amplifier, an EMG detector, EEG detector, an EKG detector, an ECG detector, an electromagnetic detector, an ultrasonic detector, an optical detector.

6. The wearable device according to claim 1, further comprising a speaker or an actuator.

7. The wearable device according to claim 6, wherein the processor audibly outputs the analysis via the speaker or notify a user using the actuator.

8. The wearable device according to claim 1, wherein the sensor comprises a bioelectric contact coupleable to a skin surface.

9. The wearable device according to claim 1, wherein the one or more sensors comprise a heart rate sensor.

10. The wearable device according to claim 9, wherein the heart rate sensor includes one or more light-emitting diodes.

11. The wearable device according to claim 10, wherein one of the one or more light-emitting diodes emits infrared light.

15. The system of claim 1, 12 or 13, wherein the health application tracks sitting posture, standing posture, steps, calories, and distance.

16. The system of claim 1, 12 or 13, comprising machine learning code to analyze movement pattern to identify exercise type, exercise posture, sitting posture, or standing posture.

12. A system, comprising:

a wearable housing including an accelerometer generating movement data;

a mobile phone processor receiving data from the wearable housing and running a health application that analyzes movement data; and

a user interaction surface in communication with the mobile phone processor to display the analysis.

13. A system, comprising:

a wearable housing having one or more sensors including an accelerometer;

a downloadable health application to analyze posture and activity; and

driving a user interaction surface to display posture or activity analysis.

14. The system according to claim 13, wherein the wearable housing comprises jewelry or clothing accessory, further comprising a wireless transceiver for transmitting movement or posture data over a personal area network.