Wireless monitoring

Patent metadata

Field	Value
Publication number	US-9549691-B2
Application number	US-201414260228-A
Country	US
Kind code	B2
Filing date	Apr 23, 2014
Priority date	May 24, 2007
Publication date	Jan 24, 2017
Grant date	Jan 24, 2017

Abstract

A monitoring system includes a Doppler radar formed with an IEEE 802 protocol transmitter and an IEEE 802 protocol receiver to detect motion, wherein frequency waves are transmitted by the IEEE 802 protocol transmitter and reflected waves are received by the IEEE protocol 802 receiver; and an analyzer to perform Doppler operations using the IEEE 802 protocol transmitter and receiver, wherein the analyzer calibrates a training Doppler radar signal during a training phase to develop a model and wherein the analyzer applies the model with the Doppler radar signal during an operational phase to determine position.

First claim

What is claimed is:

1. A monitoring system, comprising:
a Doppler radar formed with an IEEE 802 protocol transmitter and an IEEE 802 protocol receiver to detect body motion of a person, wherein frequency waves are transmitted by the IEEE 802 protocol transmitter and reflected waves are received by the IEEE 802 protocol receiver as part of a multiple input, multiple output (MIMO) wireless adapter chip set coupled to a plurality of antennas and a plurality of radios which send data over two transceivers simultaneously, wherein the Doppler radar is configured to generate an operational Doppler radar signal; and
an analyzer configured to perform Doppler operations using the IEEE 802 protocol transmitter and receiver, wherein the analyzer calibrates a training Doppler radar signal with a training body position during a training phase to develop a model and wherein the analyzer is configured to use the model with the operational Doppler radar signal during an operational phase to determine a body position of the person.

2. The system of claim 1 , further comprising non-transitory computer medium configured to identify one person from another based on heart rate signature characteristics.

3. The system of claim 1 , further comprising one of: an EMG detector, EEG detector, an electromagnetic detector, an ultrasonic detector, an optical detector, a Hidden Markov Model (HMM) recognizer, a dynamic time warp (DTW) recognizer, a neural network, a fuzzy logic engine, or a Bayesian network.

4. The system of claim 1 , further comprising a non-transitory computer medium configured to detect patient physical activity patterns and recognize body motion patterns for falls.

5. The system of claim 1 , further comprising an in-door positioning system coupled to one or more mesh network appliances to provide location information.

6. The system of claim 1 , further comprising a call center coupled to the analyzer to provide a human response.

7. The system of claim 1 , wherein the 802 protocol comprises one of: an 802.11_protocol, an 802.15 protocol, an 802.16 protocol, a WiFi protocol, or a WIMAX® (Worldwide Interoperability for Microwave Access) protocol.

8. The system of claim 1 , further comprising a wireless router and wherein the wireless router comprises one of: an 802.11 router, an 802.16 router, a WiFi router, a WiMAX® router, a Bluetooth® router, or an X10 router.

9. The system of claim 1 , further comprising a mesh network appliance coupled to a power line to communicate X10 data to and from a mesh network.

10. The system of claim 1 , further comprising a non-transitory computer medium configured to cause the IEEE 802 transmitter to transmit voice.

11. The system of claim 1 , further comprising wireless sensors configured to be positioned on the person that allow a reflected signal to be isolated from radar clutter, and that sense additional body data not derived from the operational Doppler radar signal.

12. The system of claim 1 , further comprising a security alarm coupled to the Doppler radar.

13. The system of claim 1 , further comprising a non-transitory computer medium to reconstruct an image of a moving object on an opposite side of a wall from the analyzer.

14. The system of claim 1 , wherein the analyzer is configured to track arm and leg movements to determine muscle weakness reflective of a health problem.

15. A monitoring system for a person, comprising:
a wireless local area network (WLAN) transceiver operating as a Doppler radar to wirelessly detect body movement of the person as part of a multiple input, multiple output (MIMO) wireless adapter, wherein the WLAN transceiver is configured to generate an operational Doppler radar signal; and
a processor coupled to the WLAN transceiver to monitor body position, wherein the processor calibrates a training Doppler radar signal with a training body position during a training phase to develop a model and wherein the processor is configured to use the model with the operational Doppler radar signal during an operational phase to estimate body position of the person.

16. The system of claim 15 , wherein the processor is configured to detect body movements due to breathing or to heart movement.

17. The system of claim 15 , wherein the processor is configured to identify one person from another using each person's rib cage signature.

18. The system of claim 15 , wherein the processor is configured to monitor the person for physical activity patterns and recognize body motion patterns leading to falls.

Assignees

• Tran Bao

Inventors

• Tran Bao

Classifications

• A61B5/002

  Monitoring the patient using a local or closed circuit, e.g. in a room or building (A61B5/0017 takes precedence) · CPC title

• A61B5/0006 Primary

  ECG or EEG signals · CPC title

• A61B5/0402

  Human Necessities · mapped topic

• A61B5/0205

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

• A61B5/447

  specially adapted for aiding the prevention of ulcer or pressure sore development, i.e. before the ulcer or sore has developed · CPC title