A Real-Time Acquisition and Analysis Method Based on Parallel Fractional Physiological Signals

A technology of physiological signals and analysis methods, which is applied in the field of real-time acquisition and analysis of physiological signals based on parallel fractional order, can solve problems such as unsupported airborne capability and accuracy problems, and achieves easy software and hardware implementation, high precision, and real-time acquisition and analysis. Effect

Active Publication Date: 2022-06-07
NANJING LONGYUAN MICROELECTRONICS TECH CO LTD +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method based on parallel fractional-order physiological signal real-time acquisition and analysis to solve the problem of the accuracy of traditional physiological signal analysis methods and the problem that the airborne capabilities of mobile intelligent terminal equipment cannot support real-time signal analysis constraints

Method used

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  • A Real-Time Acquisition and Analysis Method Based on Parallel Fractional Physiological Signals
  • A Real-Time Acquisition and Analysis Method Based on Parallel Fractional Physiological Signals
  • A Real-Time Acquisition and Analysis Method Based on Parallel Fractional Physiological Signals

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Embodiment 1

[0052] like figure 2 As shown, the processing steps based on the parallel fractional-order physiological signal real-time acquisition and analysis method are divided into the following four processes: data acquisition, data transmission, parallel fractional-order physiological signal analysis and data presentation.

[0053] Step 1: As image 3 shown, collecting physiological signals from sensors,

[0054] Step 1a: After the mobile terminal is started, the sensors and communication protocols supported by the mobile terminal are registered in the virtual table, and the table includes device type, communication protocol, communication parameters, communication method and format information.

[0055] Step 1b: Determine whether the sensor data is readable. If it is readable, identify the communication protocol and sensor type according to the connection information and call the virtual table registration method to obtain the physiological signal data. If it is not readable, conti...

Embodiment 2

[0083] This embodiment provides a real-time acquisition and analysis of ECG signals based on fractional order parallel distribution. ECG signal is an important physiological signal, which can be used as an important indicator to reflect people's physiological and psychological state. In this embodiment, the mobile terminal adopts a customized terminal device based on the Android platform, and uses the Apache Flink big data computing framework to build a Map / Reduce cluster. The parallel distributed fractional ECG analysis process is as follows:

[0084] Step 1: The Android smart terminal reads the ECG signal and stores the data in the local database SQLite3.

[0085] Step 2: Realize remote call through Java and Resting technology, and submit ECG data from HTTP protocol to remote server.

[0086] Step 3: The remote server is composed of elastic computing server, distributed database service Hbase and Map / Reduce cluster server. The elastic computing server receives the ECG sig...

Embodiment 3

[0091] This embodiment provides a real-time acquisition and analysis of electrical skin signals based on fractional order parallel distribution. Galvanic skin signal, also known as “galvanic skin response” and “galvanic skin property”, represents the change of skin electrical conduction when the body is stimulated, and can be used as an indirect indicator of brain arousal, alertness, and tension.

[0092] In this embodiment, a foot skin skin sensor is configured in the car, and data is collected by a vehicle-mounted tablet computer. The tablet computer is configured with a 4G network card to communicate with a remote server, and is connected to the skin skin sensor through Bluetooth.

[0093] The tablet is based on the Android platform and uses the Apache Flink big data computing framework to build a Map / Reduce cluster. The parallel distributed fractional galvanic skin analysis process is as follows:

[0094] Step 1: The tablet computer is connected to the GSK sensor via Blue...

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Abstract

Based on the method of real-time acquisition and analysis of parallel fractional physiological signals, it belongs to the application of artificial intelligence and information technology in the medical field. The invention reads the physiological sensor data through the abstract layer; transmits the physiological signal data to the server through the remote interface; Index analysis of physiological signals, firstly, the uploaded physiological signals and historical data are synthesized into a physiological signal data sequence, and this sequence and different fractional order numbers are used as input parameters, which are passed to N Map terminals, and each Map terminal calculates the corresponding order Differentiate the stability and variance of the sequence, and pass the result to the Reduce terminal, and the Reduce terminal calculates the fractional physiological signal index and returns it to the client; if the index is not within the normal range, the client sends an alarm message to the user. The invention provides a simple, safe and efficient physiological signal analysis method, which can be widely used in the fields of intelligent health service, intelligent elderly care, human-computer interaction and the like.

Description

technical field [0001] The invention relates to the application of artificial intelligence in intelligent health monitoring, in particular to a real-time acquisition and analysis method based on parallel fractional-order physiological signals. Background technique [0002] With the development of a new generation of information technology, smart terminal devices and wearable medical sensing devices are becoming more and more popular. Through this type of equipment, it is possible to conveniently read people's physiological signals and analyze them in time. Real-time analysis of people's physiological signals is an important basis for applications in the fields of smart health, smart elderly care, and smart driving, and has great application value and a wide range of applications. [0003] The traditional physiological signal analysis mainly adopts the method of time domain analysis, frequency domain analysis, and the combination of time domain and frequency domain analysis....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/70G16H40/67G16H40/60A61B5/389A61B5/318
CPCG16H40/60G16H40/67G16H50/70A61B5/318A61B5/389Y02D30/70
Inventor 吕太之陈勇张军冯茂岩徐钊毛宇鹏
Owner NANJING LONGYUAN MICROELECTRONICS TECH CO LTD
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