Smart watch

• US 10,610,111 B1
• Filed: 06/16/2017
• Issued: 04/07/2020
• Est. Priority Date: 06/30/2006
• Status: Active Grant

• Current Assignee: BT Wearables LLC (Empire IP LLC)
• Original Assignee: Bao Tran
• Inventors: Tran, Bao
• Primary Examiner(s): Barr, Evangeline
• Application Number:
  US15/626,014
• Time in Patent Office: 1,026 Days
• CPC Class Codes: A61B 2503/08 Elderly
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• 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 5/002 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 5/02055 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 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• 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 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• 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 5/25 : Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/296 : for electromyography [EMG]
• CPC Class Codes: A61B 5/332 : Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/369 : Electroencephalography [EEG] devices for psychotechnics A61B5/16
• 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 5/4818 : Sleep apnoea
• CPC Class Codes: A61B 5/4833 : Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/4839 : combined with drug delivery
• CPC Class Codes: A61B 5/4866 : Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4875 : Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6803 : Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6804 : Garments; Clothes
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/721 : using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• 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 5/7232 : involving compression of the physiological signal, e.g. to extend the signal recording period
• 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 5/7275 : Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 7/00 : Instruments for auscultation
• CPC Class Codes: A61B 7/003 : Detecting lung or respiration noise
• 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 8/56 : Details of data transmission or power supply
• CPC Class Codes: A61B 8/565 : involving data transmission via a network
• CPC Class Codes: G06Q 50/22 : Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16H 40/20 : for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

Systems and methods include a cellular, WiFi, and Bluetooth transceiver coupled to a processor; an accelerometer or a motion sensor coupled to the processor; and a sensor coupled to the processor to sense mood or body vital sign; and a wearable device operating wirelessly with the processor, wherein the wearable device includes at least one sensor coupled to a back of the wearable device and wherein the wearable device recognizes and executes a speech command.

Claims

1. A system, comprising:

a wearable appliance monitoring one or more body parameters, the appliance including a wrist-watch housing configured to be coupled to a wrist, a processor, an accelerometer to detect movement for fall detection, and an ECG sensor coupled to a back of the wearable appliance or an optical sensor to detect vital sign;

a telephone having a positioning system and wirelessly coupled to the wearable appliance; and

a remote computer wirelessly coupled to the wearable appliance through the telephone.

2. The system of claim 1, wherein the processor detects at least one of:

ECG, heart rate, respiration rate, blood pressure, temperature, oxygen saturation, posture, fall, or movement.

3. The system of claim 1, comprising an additional sensor to determine heart rate, heart pulse, blood pressure, or oxygen level (SpO2).

4. The system of claim 1, comprising a second sensor in the wrist-watch housing coupled to the processor to sense mood or vital sign.

5. The system of claim 1, comprising two or more sensors in the wrist-watch housing in communication with the processor to capture vital sign data;

and an application executed by the processor to process the vital sign data and movement data detected by the accelerometer and a gyroscope.

6. The system of claim 1, wherein the wearable appliance detects at least one of:

heart rate, respiration rate, blood pressure, temperature, oxygen saturation, user posture, user fall, or user movement and further communicates voice over a personal area network, a wireless local area network, or the telephone.

7. The system of claim 1, wherein the telephone or the wearable appliance communicates with a first device configured to provide data in a first protocol or standard from a first manufacturer and a second device configured to provide data in a second protocol or standard from a second manufacturer;

and an electronic health record module configured to translate between the protocols or standards.

8. The system of claim 1, comprising a module to communicate wearable user data to a physician database or a hospital database.

9. The system of claim 1, wherein the processor receives calorie, food consumption, exercise activity, or glucose level.

10. The system of claim 1, wherein sensor data is used to select a fitness program targeted at a user.

11. The system of claim 1, wherein the processor executes code to store and analyze information including posture, ambulation habits, medicine taking habits, eating and drinking habits, sleeping habits, or exercise habits.

12. A mobile system, comprising:

a wearable device having a wrist-watch housing configured to be coupled to a wrist;

WiFi and Bluetooth transceivers coupled to a processor;

an accelerometer or a motion sensor coupled to the processor; and

an ECG sensor coupled to a back of the wearable device and wherein the processor executes a speech command.

13. The system of claim 12, comprising one or more electrodes that contact skin and capture bio-electrical signals;

and an amplifier coupled to the one or more electrodes.

14. The system of claim 12, wherein the accelerometer comprises a fall detector.

15. The system of claim 12, wherein the wearable device houses the one or more sensors to detect one or more of:

heart rate, brain wave, respiration rate, blood pressure, temperature, oxygen saturation, posture, user fall, or user movement.

16. The system of claim 12, wherein the wearable device communicates with a first device configured to provide data in a first protocol or standard from a first manufacturer and a second device configured to provide data in a second protocol or standard from a second manufacturer;

and an electronic health record module configured to translate between the protocols or standards.

17. The system of claim 12, wherein mood or body vital sign is used to select a fitness program targeted at a user.

18. A system, comprising:

a processor;

an accelerometer coupled to the processor;

a cellular transceiver coupled to the processor;

a display screen coupled to the processor; and

a wearable device including a wrist-watch housing, the device wirelessly coupled to the processor, the wearable device further including an ECG sensor coupled to a back of the wearable device and configured to be coupled to a wrist to detect blood-oxygen level, heart rate or pulse rate, and wherein the processor executes a speech command.

19. The device of claim 18, wherein the processor or the wearable device communicates with a first device configured to provide data in a first protocol or standard from a first manufacturer and a second device configured to provide data in a second protocol or standard from a second manufacturer;

and an electronic health record module configured to translate between the protocols or standards.

20. The device of claim 18, wherein the processor detects one or more of:

ECG, respiration rate, blood pressure, temperature, oxygen saturation, posture, fall, or movement.

21. The system of claim 18, comprising an ECG sensor in the wrist-watch housing, wherein the wearable device detects a fall and the processor communicates a fall based on sensor data.

22. The system of claim 18, wherein the wearable device comprises an accelerometer, wherein either the wearable device or the processor detects one or more sequences of human motion or posture.

23. A system, comprising:

a wrist-watch housing;

an ECG sensor coupled to a back of the wrist-watch housing and configured to be coupled to a wrist;

an optical sensor coupled to the wrist-watch housing;

a processor coupled to the ECG sensor;

an accelerometer coupled to the processor;

a microphone coupled to the processor to capture speech; and

a personal area network (PAN) transceiver and a wireless local area network (MAN) transceiver coupled to the processor, wherein the processor executes a speech command or detects a fall.