Mesh network personal emergency response appliance

• US 10,517,479 B2
• Filed: 07/26/2018
• Issued: 12/31/2019
• Est. Priority Date: 06/30/2006
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Tran, Bao
• Primary Examiner(s): Pope, Daryl C
• Application Number:
  US16/045,841
• Publication Number:
  US 20190038133A1
• Time in Patent Office: 523 Days
• Field of Search: 340506, 340 31, 3405391, 34053911, 34053913, 3405731, 3405736
• CPC Class Codes: A43B 3/42 where power is generated by conversion of mechanical movement to electricity, e.g. by piezoelectric means
• CPC Class Codes: A43B 3/46 Global positioning system [GPS] sensors
• CPC Class Codes: A43B 3/48 with transmitting devices, e.g. GSM or Wi-Fi®
• 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 5/0013 Medical image data A61B1/00011, A61B6/56, A61B8/56 take precedence
• 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 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• 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 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• 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 5/318 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 5/6803 : Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6806 : Gloves
• CPC Class Codes: A61B 5/6807 : Footwear
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/6824 : Arm or wrist
• CPC Class Codes: A61B 5/6826 : Finger
• CPC Class Codes: A61B 5/6891 : Furniture
• CPC Class Codes: A61B 5/7264 : Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 7/00 : Instruments for auscultation
• CPC Class Codes: A61B 7/04 : Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: A61B 7/045 : Detection of Korotkoff sounds A61B5/0225 takes precedence; measuring blood pressure A61B5/021
• CPC Class Codes: A61B 8/00 : Diagnosis using ultrasonic, sonic or infrasonic waves imaging of objects using sonar G01S15/00
• 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 8/488 : involving Doppler signals
• CPC Class Codes: A61B 8/565 : involving data transmission via a network
• CPC Class Codes: G08B 21/02 : Alarms for ensuring the safety of persons
• CPC Class Codes: G08B 21/0423 : detecting deviation from an expected pattern of behaviour or schedule
• CPC Class Codes: G08B 21/0446 : worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• 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: G08B 21/0461 : integrated or attached to an item closely associated with the person but not worn by the person, e.g. chair, walking stick, bed sensor
• CPC Class Codes: G08B 21/0476 : Cameras to detect unsafe condition, e.g. video cameras
• CPC Class Codes: G08B 21/0484 : Arrangements monitoring consumption of a utility or use of an appliance which consumes a utility to detect unsafe condition, e.g. metering of water, gas or electricity, use of taps, toilet flush, gas stove or electric kettle
• CPC Class Codes: G08B 21/0492 : Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
• CPC Class Codes: G08B 25/016 : Personal emergency signalling and security systems emergency non-personal manually actuated alarm activators G08B25/12
• CPC Class Codes: G16H 15/00 : ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/13 : delivered from dispensers
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• 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 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04M 2250/12 : including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10
• CPC Class Codes: H04M 3/5116 : for emergency applications
• CPC Class Codes: H04W 84/18 : Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

A monitoring system using an activity sensor to determine patterns of activity based upon the user activity occurring over time.

Claims

1. A system for monitoring a person, comprising:

a monitoring device for capturing one or more of a person'"'"'s exercise activities over a time period;

said monitoring device comprising an accelerometer providing an output;

an analyzer for determining at least one pattern of body movement using the output of the accelerometer;

a transmitter for sending the pattern over a wireless network to a second device which compares the pattern to at least one reference pattern and,

a receiver for receiving from the second device, an indication of differences between the pattern and the reference pattern.

2. The system of claim 1 wherein the monitoring device is coupled to the analyzer over the wireless network.

3. The system of claim 1 further comprising means for measuring the number of calories burned by the person during one or more of the exercise activities.

4. The system of claim 1 further comprising means for measuring the person'"'"'s blood pressure during one or more of the exercise activities.

5. The system of claim 1 further comprising means for measuring the person'"'"'s heartbeat during one or more of the exercise activities.

6. The system of claim 1 further comprising means for measuring the number of calories burned by the person during one or more of the exercise activities, means for measuring the person'"'"'s blood pressure during one or more of the exercise activities and means for measuring the person'"'"'s heartbeat during one or more of the exercise activities.

12. The system of claim 6 wherein said monitoring device is worn on the person'"'"'s wrist.

7. A monitoring device comprising:

a sensing device for detecting one or more of a person'"'"'s exercise activities over a fixed time period;

said monitoring device comprising an accelerometer and said sensing device producing an output;

an analyzer utilizing the output of the sensing device to determine at least one pattern of body movement associated with the exercise activities;

a transceiver for sending the pattern over a wireless network to a second device which compares the pattern to at least one reference pattern, and for receiving from the second device, an acknowledgment of differences between the pattern and the reference pattern.

8. The device of claim 7 further comprising means for measuring the number of calories burned by the person during one or more of the exercise activities.

9. The device of claim 7 further comprising means for measuring the person'"'"'s blood pressure during one or more of the exercise activities.

10. They device of claim 7 further comprising means for measuring the person'"'"'s heartbeat during one or more of the exercise activities.

11. The device of claim 7 further comprising means for measuring the number of calories burned by the person during one or more of the exercise activities, means for measuring the person'"'"'s blood pressure during one or more of the exercise activities and means for measuring the person'"'"'s heartbeat during one or more of the exercise activities.

13. A measuring device worn on a user'"'"'s wrist, comprising the device of claim 11.

14. A wearable monitoring apparatus, comprising:

a housing adapted to be worn by a person on a wrist of a person;

a monitor for capturing one or more of a person'"'"'s exercise activities over a time period;

an analyzer to determine at least one pattern of body movement associated with the exercise activities, wherein said analyzer recognizes different types of body movement in determining the pattern;

a transmitter for sending the pattern over a wireless network to a second device which compares the pattern to at least one reference pattern and,

a receiver for receiving from the second device, an acknowledgment of differences between the pattern and the reference pattern.

15. The device of claim 14 wherein the monitoring device is coupled to the analyzer over the wireless network.

16. The device of claim 14 further comprising means for measuring the number of calories burned by the person during one or more of the exercise activities.

17. The device of claim 14 further comprising means for measuring the person'"'"'s blood pressure during one or more of the exercise activities.

18. The device of claim 14 further comprising means for measuring the person'"'"'s heartbeat during one or more of the exercise activities.

19. The system of claim 14 further comprising means for measuring the number of calories burned by the person during one or more of the exercise activities, means for measuring the person'"'"'s blood pressure during one or more of the exercise activities and means for measuring the person'"'"'s heartbeat during one or more of the exercise activities.

20. A wrist mounted calorie monitoring device for a user comprising:

an accelerometer, a processor and a wireless transmitter, wherein

the processor receives data from the accelerometer and computes, from the data, the number of calories burned by the user during a time period and generates a pattern of activity based upon said number of calories burned, and wherein this pattern is transmitted to a remote terminal by the wireless transmitter.