IP Library › Patent Application 15572432
Patent Application
App. No. 15/572,432

WIRE-FREE MONITORING DEVICE FOR ACQUIRING, PROCESSING AND TRANSMITTING PHYSIOLOGICAL SIGNALS

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Quick Facts
Patent No.
US None
App. No.
15/572,432
Abstract

Embodiments of the present disclosure relate to an electrode device to acquire, process and transmit physiological signals. The device eliminates the need for inconvenient wires attached at different locations on patient's body. The device comprises a sensor patch comprising plurality of sensors/electrodes, configured to be in contact with a skin surface of a human body, to measure physiological of the patient. Also, the, device comprises a wire-free module,, embedded in the sensor patch, comprising an auto-orientation module to detect the orientation of the sensor patch on the human body using a plurality of sensors. The wire-free module comprises a processing module to process one or more signals received from the plurality of sensors/electrodes. Further, the wire-free module comprises a detection module to detect one or more processed signals as a predefined physiological signal and a transmission module to transmit the detected physiological signal to a mobile device.

Claims (35)

1 . A wireless physiological device for acquiring and processing physiological signals, the device comprising:

a sensor patch comprising plurality of electrodes, configured to be in contact with a skin surface of a human body, to measure physiological of the patient; and

at least one wire-free module, embedded in the sensor patch, comprising

an auto-orientation module to detect the orientation of the sensor patch on the human body using a plurality of sensors;

a processing module to process one or more signals received from the plurality of electrodes;

a detection module to detect one or more processed signals as a predefined physiological data; and

a transmission module to transmit the detected physiological data to a mobile device.

2 . The device as claimed in claim 1 further comprises a power source configured to supply power to the device.

3 . The device as claimed in claim 1 further comprises a storage unit for storing at least one of signals sensed by the sensor patch, the processed signals and data detected physiological signals.

4 . The device as claimed in claim 1 further comprises a compression module to compression the physiological signals to preserve in original form

5 . The device as claimed in claim 1 , wherein the auto-orientation module comprises plurality of sensors to detect the orientation of the sensor patch.

6 . The device as claimed in claim 5 , wherein each of the plurality of sensor is one of accelerometer, gyroscope and magnetometer.

7 . The device as claimed in claim 1 , wherein the processing module comprising:

front end module comprising at least one instrumentation block to amplify a plurality of signals sensed by the plurality of electrodes;

at least one filter to filter out noise from the amplified sensed signals; and

an analog to digital converter (ADC) to convert the amplified sensed signals in to digital signal.

8 . The device as claimed in claim 1 , wherein the transmission module uses at least one data transmission protocol selected from at least one of Bluetooth, Wireless fidelity (Wi-Fi), second generation (2G), third generation (3G), long term evolution (LTE) and any other wireless protocol.

9 . The device as claimed in claim 1 , wherein the transmission module comprises a data manager block to perform machine learning from the physiological data to obtain one of critical and non-critical event.

10 . The device as claimed in claim 1 , wherein the transmission module transmits physiological data using at least one of minimum available bandwidth data network for non-critical events and any available data network for critical events.

11 . A method of acquiring and processing physiological signals using a wireless monitoring device, the method comprising:

identifying, by the wireless physiological device, orientation of a sensor patch placed on a human body;

processing, by the wireless physiological device, one or more signals received from a plurality of electrodes configured in the sensor patch;

detecting, by the wireless physiological device, a physiological data from the processed signals; and

transmitting, by the wireless physiological device, the detected physiological data to a mobile device.

12 . The method as claimed in claim 11 further comprises providing power supply to the wireless monitoring device.

13 . The method as claimed in claim 11 further comprises storing at least one of signals sensed by the sensor patch, the processed signals and data detected physiological signals, in a storage unit.

14 . The method as claimed in claim 11 further comprises compressing the physiological signals to preserve in original form

15 . The method as claimed in claim 11 , wherein the orientation of the sensor patch is detected using a plurality of sensors, wherein each of the plurality of sensors is one of accelerometer, gyroscope and magnetometer.

16 . The method as claimed in claim 11 , wherein the processing one or more signals received from a plurality of electrodes comprising:

amplifying the one or more signals sensed by the plurality of electrodes;

filtering the amplified signals to filter out high frequency noise from the amplified sensed signals; and

converting the amplified sensed signals in to digital signal.

17 . The method as claimed in claim 11 , wherein the detected physiological signals are transmitted using at least one data transmission protocol selected from at least one of Bluetooth, Wireless fidelity (Wi-Fi), second generation (2G), third generation (3G), long term evolution (LTE) and any other wireless protocol.

18 . The method as claimed in claim 11 , wherein the transmission of physiological data further comprising performing machine learning from the physiological data to obtain one of critical and non-critical event.

19 . The method as claimed in claim 11 , wherein the transmission of physiological data using at least one of minimum available bandwidth data network for non-critical events and any available data network for critical events.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 23, 2018
From: BHOGU, RAVI
To: MONITRA HEALTHCARE PRIVATE LIMITED
Reel/Frame 045325/0303 →