Wearable digital device for personal health use for saliva, urine and blood testing and mobile wrist watch powered by user body

• US 10,226,213 B2
• Filed: 09/10/2018
• Issued: 03/12/2019
• Est. Priority Date: 10/01/2002
• Status: Expired due to Fees

• Current Assignee: Andrew H.B. Zhou, Tiger T.G. Zhou, Zhou Tian Xing
• Original Assignee: Andrew H.B. Zhou, Tiger T.G. Zhou, Zhou Tian Xing
• Inventors: Xing, Zhou Tian, Zhou, Andrew H B, Zhou, Tiger T G
• Primary Examiner(s): Walsh, Daniel I
• Application Number:
  US16/126,548
• Publication Number:
  US 20190008463A1
• Time in Patent Office: 183 Days
• CPC Class Codes: A61B 10/007 for taking urine samples measuring urological functions A61B5/20; genital receptacles A61F5/451; urinals for bed-ridden persons A61G9/006
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• 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 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• 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 5/1468 using chemical or electrochemical methods, e.g. by polarographic means A61B5/1486 takes precedence
• CPC Class Codes: A61B 5/150022 for capillary blood or interstitial fluid
• CPC Class Codes: A61B 5/150343 Collection vessels for collecting blood samples from the skin surface, e.g. test tubes, cuvettes sampling from within body cavities A61B5/150015, A61B5/150045
• CPC Class Codes: A61B 5/150358 Strips for collecting blood, e.g. absorbent optical reagent test strips G01N21/8483; chemical reagent test strips G01N33/4875, G01N33/52
• CPC Class Codes: A61B 5/15105 Purely manual piercing, i.e. the user pierces the skin without the assistance of any driving means or driving devices
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: G01N 2800/042 Disorders of carbohydrate metabolism, e.g. diabetes, glucose metabolism
• CPC Class Codes: G01N 2800/32 Cardiovascular disorders
• CPC Class Codes: G01N 33/56911 Bacteria
• CPC Class Codes: G01N 33/56972 White blood cells
• CPC Class Codes: G01N 33/56983 Viruses
• CPC Class Codes: G01N 33/574 : for cancer
• CPC Class Codes: G01N 33/66 : involving blood sugars, e.g. galactose
• CPC Class Codes: G01N 33/80 : involving blood groups or blood types or red blood cells white blood cells G01N33/56972
• CPC Class Codes: G06Q 20/321 : using wearable devices
• CPC Class Codes: G10L 15/22 : Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/223 : Execution procedure of a spoken command
• CPC Class Codes: G16H 10/40 : for data related to laboratory analysis, e.g. patient specimen analysis
• 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
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Provided are a wearable personal digital device and related methods. The wearable personal digital device may comprise a processor, a display, biometric sensors, activity tracking sensors, a memory unit, a communication circuit, a housing, an input unit, a projector, a timepiece unit, a haptic touch control actuator, and a band. The processor may be operable to receive data from an external device, provide a notification to a user based on the data, receive a user input, and perform a command selected based on the user input. The communication circuit may be communicatively coupled to the processor and operable to connect to a wireless network and communicate with the external device. The housing may be adapted to enclose the components of the wearable personal digital device. The band may be adapted to attach to the housing and secure the wearable personal digital device on a user body.

Claims

1. An Artificial Intelligence (AI) wearable digital device for personal health use for saliva, urine, and blood testing, the device comprising:

a processor being operable to;

receive data from an external device;

based on the data, provide a notification to a user;

receive a user input;

perform a command, the command being selected based on the user input;

provide a natural language user interface to communicate with the user, the natural language user interface being operable to sense a user voice and provide a response in a natural language to the user;

a near field communication (NFC) unit communicatively coupled to the processor;

a display communicatively coupled to the processor, the display including a touch screen, wherein the display includes a force sensor, wherein the force sensor is operable to sense a touch force applied by the user to the display and calculate coordinates of a touch by the user, and further operable to analyze the touch force, and based on the touch force, select a tap command or a press command based on a predetermined criteria;

a memory unit communicatively coupled to the processor;

a communication circuit communicatively coupled to the processor and operable to connect to a wireless network and communicate with the external device, calculating hourly health data and make related mobile devices payments;

a housing adapted to enclose at least the processor, the display, the one or more activity tracking sensors, the memory unit, and the communication circuit;

an input unit communicatively, coupled to the processor, wherein the input unit extends from the housing and is configured to perform one or more of a rotational motion and a linear motion, wherein the one or more motions are operable to input commands to the processor; and

a band adapted to attach to the housing and to secure the device on a user body;

biometric sensors disposed within the band and operable to sense one or more biometric parameters of the user, wherein based on detection that the one or more of the biometric parameters exceed predetermined limits, biometric sensors are configured to produce the alarm, wherein the biometric sensors include lenses and infrared light-emitting diodes (LED) and visible-light LEDs, wherein the biometric sensors include, a skin contact sensor data processing engine, the skin contact sensor data processing engine being operable to monitor a user electrocardiogram and a heart rate of the user sensed by the biometric sensors, the user electrocardiogram and the heart rate being identification and personal data of the user, wherein the skin contact sensor data processing engine is operable to prompt the user to enter a personal identification number and associate the personal identification number with both the user electrocardiogram and the heart rate obtained after the device has been secured to a wrist of the user, wherein processor stores the obtained electrocardiogram and heart rate in the memory unit as a reference electrocardiogram and reference heart rate;

a haptic touch control actuator operable to produce a haptic feedback in response to one or more events, the one or more events including receiving of the alert, receiving of a notification, a confirmation, movement of the device, receiving of the user input, and sensing of the one or more biometric parameters, the haptic feedback being sensed by the user body, wherein the haptic feedback includes a plurality of feedback types, each of the one or more events being associated with one of the plurality of feedback types;

a set of electrodes with electric wires disposed within the hand;

a battery disposed in the housing of the device;

a camera a glucose metering unit configured to be attached to the housing, the glucose metering unit being in communication with the processor, the glucose metering unit being configured to;

accommodate a test strip for receiving a blood sample of the user;

upon insertion of the test strip having the blood sample of the user into the glucose metering unit, measure a blood glucose level in the blood sample; and

communicate the blood glucose level to the processor;

an electrochemical detector configured to be attached to the housing, the electrochemical detector being in communication with the processor, the electrochemical detector being configured to;

accommodate a sample, the sample including at least one of a blood sample, an urine sample, and a saliva sample of the user;

upon placing the sample into the electrochemical detector, apply a predetermined amount of an electric current to the sample;

upon applying the electric current, measure a voltage and a current generated in liquids of the sample to determine characteristic signatures of the liquids in the sample, based on the characteristic signatures, analyze the sample to determine a red blood cell distribution width;

determine a variation of a size of red blood cells to predict development, progression, and risk a disease, the disease including one of a cancer and a cardiovascular disease; and

communicate data associated with the analysis to the processor;

wherein the device in configured in a form of a wrist watch to be worn by the user;

wherein the device further includes;

a thermoelectric generator (TEG) configured to;

collect a heat of a body of the user;

convert the heat into energy; and

store the energy in the batter;

a sensor configured to be in contact with a skin of the user; and

a wire configured to be placed under the skin of the user beneath the sensor to obtain a sample, the sample including at least a blood sample, wherein the sensor is configured to analyze the sample to determine at least a blood glucose level.

2. The system of claim 1, wherein the applying the electric current includes initiating one or more chemical reactions by passing the electrical current through a solution of the sample and a predetermined reagent;

wherein the analyzes includes determining the blood glucose level, wherein the blood glucose level in used for management of diabetes, serum electrolytes in diagnostic screening, and chemiluminescent immunoassays.

3. The system of claim 1, wherein the electrochemical detector includes a cartridge for collecting the sample, the cartridge including a plurality of channels;

wherein upon placing the sample into the cartridge, the electrochemical detector is configured to distribute the sample through the channels into a plurality of detection zones, each of the detection zones being indicative of an antibody or an antigen present in the sample.

4. The system of claim 1, wherein the electrochemical detector is configured to:

contact the sample with an anticoagulant; and

analyze disruptions in an electric field of the sample contacted with the anticoagulant.

5. The system of claim 1, wherein each of the glucose metering unit and the electrochemical detector are attached to the housing via a jack plug.

6. The system of claim 1, further comprising a magnetic levitation unit insertable into the housing, the magnetic levitation unit being in communication with the processor, the magnetic levitation unit comprising a plurality of magnets for producing a magnetic field, the magnetic levitation unit being configured to:

upon placing the sample into the magnetic levitation unit, separate cells in the sample into groups, the separation being based on a type of the cells, wherein the groups include at least white blood cells and red blood cells.

7. The system of claim 1, wherein the magnetic levitation unit is further configured to communicate data associated with the separation to the processor;

wherein the processor is further configured to;

run computer imaging on a display of the device to visualize the data associated with the separation;

send the data associated with the separation to a third party.

8. The system of claim 1, wherein the processor is configured to perform a payment transaction using an NFC, the payment transaction being performed for purchases online and offline, wherein a payment associated with the payment transaction is transferred from a pre-paid account of the user or charged to a mobile account of the user or a bank account of the user;

wherein the payment includes at least a one-touch and one-scan payment for street parking in demarcated areas, the payment being performed using a license plate, transponder tags, barcode stickers, and reading the code from the display;

wherein a merchant uses a combination of the NFC and the code on the display for performing the one-touch and one-scan payment;

wherein the NFC is used to establish radio communication with the external device by touching the housing and the external device or bringing the housing and the external device into proximity, the proximity includes a distance of up to 10 centimeters;

wherein the processor is operable to operate in three modes, the three modes including an NFC target mode when the device is acting as a credential, a NFC initiator mode when the device is acting as a reader, and an NFC peer-to-peer mode;

wherein the payment is further associated with advertisement tags, two-dimensional barcodes, and ultra-high frequency tags;

wherein the processor is operable to be connected to a cloud;

wherein user credentials are provisioned over the air;

the payment being associated with a payment application associated with the processor to control transferring of the payment and access payment readers;

wherein the NFC unit is operable to connect to a third-party NFC device with a server for data;

wherein the device is adapted to enable a Bluetooth low energy payment;

wherein the device is associated with one or more of a transactional payment based on Unstructured Supplementary Service Data, Short Message Service, direct operator billing, a credit card mobile payment, an online wallet, a QR code payment, contactless NFC, a cloud-based mobile payment, an audio signal-based payment, a Bluetooth Low Energy signal beacon payment, an in-application payment, a Software Development Kit payment, an Application Programming Interface payment, a social networking payment, and a direct carrier and bank co-operation.

9. The system of claim 1, wherein the processor is further configured to use the personal identification number entered by the user to verify an identity of the user when making the payment transaction;

perform the payment transaction automatically upon approaching to a card reader.

10. The system of claim 1, wherein the glucose metering unit further include a lancing unit, wherein the processor is further configured to automatically record the blood glucose level, share the blood glucose levels with a further user, build charts and determine statistics data, wherein the processor further provides a carbohydrate counting tool to the user to count carbohydrates consumed by the user to facilitate glucose management for the user.

11. The system of claim 1, wherein the electrochemical detector is further configured to:

detect biomarkers, the biomarkers including a prostate-specific antigen and a human chorionic gonadotropin hormone;

electronically detect microparticles and microorganisms, the microorganisms including disease-causing bacteria and viruses.

12. The system of claim 1, wherein the processor is further configured to

perform encrypted of measured data into a code, the code including a three-dimensional code created by layers of a two dimensional code and allotment of additive colors of each of the layers.

13. The system of claim 1, wherein the TEG includes a first side and a second side, wherein the first side is a circular thermally conductive material plate, wherein the first side and the second side are separated from each other by an insulating thermoplastic layer, wherein the TEG collects the heat flowing from the second side to the first side and turns the heat into an electricity, wherein the circular thermally conductive material plate being topped with a polymer layer that prevents the heat from dissipating to an ambient air, wherein an outer layer of the circular thermally conductive material plate collects and dissipates the heat that is not converted into the electricity.

14. The system of claim 1, wherein the TEC is configured to generate electricity based on a temperature differential between a body of the user and an ambient air, wherein the TEG is configured to generate the heat of up to 20 μ

W/cm².

15. The system of claim 1, wherein the TEG is configured to be incorporated into clothes and is configured to generate 8 μ

W/cm2 to 18 μ

W/cm2 based on an activity of the user, wherein data measured by the TEG are used for health monitoring of the user, the health monitoring including tracking heart health and monitoring physical and environmental variables to predict and prevent diseases of the user.

16. The system of claim 1, wherein the camera is operable to:

track a face, fingers, and gestures; and

the processor is further operable to;

analyze the face, the fingers, the gestures, and a human body tracked by the camera;

wherein the camera is further operable to perform an optical character recognition of a data, the data processing including one or more of the following;

a typewritten text, a printed text, and an image, the data being scanned from a document, the document including one or more of the following;

a passport, an invoice, a bank statement, a computerized receipt, a business card, a mail, a printout of static-data, a book, and a print publication;

wherein the display is operable to be activated based on one or more of the following;

a movement of a user hand, a movement of the user body, a gesture performed by the user in proximity to the display, and a user voice.

17. The system of claim 1, further comprising:

a microphone operable to;

sense voice data, the voice data being obtained from the user and including a voice command, a voice memo, or a voice message; and

transmit the voice data and personal health data to the processor; and

a light indicator being operable to show a light indication in response to receiving the data from an external device, wherein upon a predetermined movement of the user body the light indication stops showing the light indication and initiates the display to display the data received from the external device.

18. The system of claim 1, wherein the processor is further operable to:

recognize the voice data to obtain a user request; and

transmit the user request to an external device, wherein a plurality of applications running on the external device are visualized on the display using a form factor;

estimate time of the user input, the user input including pressing the display by the user;

based on the time, select a command from a table, the table representing relationship between duration of pressing and a plurality of commands; and

perform the command, calculating hourly health data and related mobile devices payment.