CN109480818A - A kind of physiological data signals treating method and apparatus across hardware platform - Google Patents

A kind of physiological data signals treating method and apparatus across hardware platform Download PDF

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Publication number
CN109480818A
CN109480818A CN201710818949.6A CN201710818949A CN109480818A CN 109480818 A CN109480818 A CN 109480818A CN 201710818949 A CN201710818949 A CN 201710818949A CN 109480818 A CN109480818 A CN 109480818A
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data signals
physiological data
length
signal
analysis window
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CN109480818B (en
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吴娜
方若洁
许利群
常耀斌
王威
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China Mobile Communications Group Co Ltd
China Mobile Communications Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Communications Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2212/00—Encapsulation of packets

Abstract

It is slow and can not acquire and transmit in real time physiological data signals to solve the problem of to exist in the prior art physiological data signals reading speed the present invention relates to data processing technique more particularly to a kind of physiological data signals treating method and apparatus across hardware platform.This method are as follows: the signal type of physiological data signals of the collection terminal based on acquisition, receiving end is sent to after being packaged according to corresponding signal analysis window size to physiological data signals, and after receiving end receives physiological data signals, also data can be read from physiological data signals and be analyzed and processed according to the corresponding preset signal analysis window size of signal type.In this way, the signal type that collection terminal and receiving end are based respectively on physiological data signals is encapsulated and is read accordingly, so as to realize the remote collection and Real Time Monitoring of physiological data signals, the analysis speed of physiological data signals is improved, and reduces the processing difficulty of physiological data signals.

Description

A kind of physiological data signals treating method and apparatus across hardware platform
Technical field
The present invention relates to data processing technique more particularly to a kind of physiological data signals processing method across hardware platform and Device.
Background technique
In the prior art, the Medical Devices for acquiring physiological data signals are broadly divided into two kinds, and one kind being located in hospital's use In the large-scale physiological data signals acquisition instrument of clinical diagnosis, one is the small portable physiological datas that can be used at home Signal acquisition instrument.
Under normal conditions, it when carrying out physiological data signals acquisition by physiological data signals acquisition instrument, is often setting Every physiological data signals of continuous acquisition patient in timing is long after to be collected, then are believed whole physiological datas of acquisition It number is copied to receiving end or is transmitted to receiving end, carry out data analysis by whole physiological data signals of the receiving end to acquisition.
Above-mentioned physiological data signals acquisition instrument mainly uses European data format (European Data Format, letter Claim EDF) transimission and storage is carried out to physiological data signals, EDF format can include multiple physiological data signals or same simultaneously Multiple lead samples of physiological data signals, can be applied to transimission and storage more lead dormant data (Polysomnography, PSG), electrocardiogram (ECG) data (Electrocardiogram, ECG), eeg data (Electroencephalograph, EEG) and Myoelectricity data (Electromyography, EMG) etc..
Currently, there is also following problems for the acquisition and transmission of physiological data signals:
First, physiological data signals acquisition instrument using single single machine, the acquisition mode of off-line operation, i.e. continuous acquisition is complete After whole physiological data signals, whole physiological data signals are integrally copied to receiving end or overall transfer to receiving end and are examined Survey analysis.Since physiological data signals have timeliness, physiological data signals are acquired in this way, cannot achieve Real-time ground remote analysis and detection, will affect the correctness of final analysis result.
Second, physiological data signals acquisition instrument carries out continuous acquisition to multinomial physiological data signals within the set duration, The physiological data signals of acquisition do not carry out fragment processing, i.e., all physiological data signals are considered as an entirety and carry out subsequent place Reason, in this way, the transmission and reading speed of physiological data signals can be reduced, to increase processing difficulty.
On the other hand, since the medical quality of different instrument users of service is irregular, when patient uses physiology When Data Signal Collecting Device device, may be fallen off due to electrode slice or electrode slice patch location inaccuracy and cause the life of acquisition Data-signal inaccuracy is managed, at this point, subsequent processing is carried out since all physiological data signals are considered as an entirety, then, nothing Which part physiological data signals method accurate recognition goes out without referential, to increase processing difficulty.
Summary of the invention
The embodiment of the present invention provides a kind of data processing method and system across hardware platform, to solve in the prior art There are physiological data signals reading speed is slow, and the problem of can not acquire in real time and transmit physiological data signals.
Specific technical solution provided in an embodiment of the present invention is as follows:
A kind of physiological data signals processing method across hardware platform, comprising:
Physiological data signals are acquired, and determine the signal type of the physiological data signals；
Determine the corresponding preset signal analysis window size of signal type；
The physiological data signals are packaged according to the signal analysis window size；
Physiological data signals after encapsulation are sent to receiving end.
Optionally, physiological data signals are acquired, and determine the signal type of the physiological data signals, comprising:
According to the physiological data signals of acquisition, the changing rule of the physiological data signals is judged；
According to the changing rule of the physiological data signals, the signal type of the physiological data signals is determined.
Optionally, the corresponding preset signal analysis window size of signal type is determined, comprising:
According to the corresponding relationship between preset signal type and signal analysis window size, the corresponding class signal is determined The preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is based on analysis institute State what data volume required for the physiological data signals under a signal type determined.
Optionally, the physiological data signals are packaged according to the signal analysis window size, comprising:
According to the signal analysis window size, initial package length is determined；
Detect the congestion ratio of network transfer speeds and receiving end；
Congestion ratio based on the network transfer speeds and receiving end is adjusted the initial package length, obtains mesh Mark package length；
The physiological data signals are packaged using the target envelope length.
Optionally, the congestion ratio based on the network transfer speeds and receiving end adjusts the initial package length It is whole, target envelope length is obtained, further comprises:
If the network transfer speeds are less than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal in advance If congestion ratio threshold value, then the fractional multiple based on the signal analysis window size carries out the initial package length Adjustment obtains target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal in advance If congestion ratio threshold value, alternatively, and congestion ratio is less than if network transfer speeds are less than or equal to preset transmission speed threshold value Equal to preset congestion ratio threshold value, then be based on the signal analysis window size, by the initial package length directly as Target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is less than or equal in advance If congestion ratio threshold value, then the integer multiple based on the signal analysis window size carries out the initial package length Adjustment obtains target envelope length.
A kind of physiological data signals processing method across hardware platform, comprising:
The physiological data signals of collection terminal acquisition are obtained, and determine the signal type of the physiological data signals；
Determine the corresponding preset signal analysis window size of signal type；
Data are read from the physiological data signals according to the signal analysis window size, obtain several numbers to be processed According to；
The pending data of acquisition is analyzed and processed.
Optionally, the corresponding preset signal analysis window size of signal type is determined, comprising:
According to the corresponding relationship between preset signal type and signal analysis window size, the corresponding class signal is determined The preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is based on analysis institute State what data volume required for the physiological data signals under a signal type determined.
Optionally, the physiological data signals are read out according to the signal analysis window size, obtain it is several to Handle data, comprising:
According to the signal analysis window size, the reading length of physiological data signals is determined；
Based on the reading length, the physiological data signals are adjusted, obtain several pending datas.
Optionally, it is based on the reading length, the physiological data signals are adjusted, obtains several numbers to be processed According to further comprising:
If the target envelope length of the physiological data signals obtained is less than the reading length, by the physiology of multiple encapsulation Data-signal is spliced according to the reading length, obtains corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is equal to, reads length, by the physiological data of multiple encapsulation Signal is directly as corresponding pending data.
If the target envelope length of the physiological data signals obtained, which is greater than, reads length, using the reading length to envelope The physiological data signals of dress carry out cutting, obtain corresponding pending data.
Optionally, further comprise:
If the physiological data signals obtained are without encapsulation process, according to the reading length directly from the physiology of acquisition The data that corresponding length is read in data-signal, as pending data.
Optionally, any one pending data of acquisition is analyzed and processed, comprising:
According to the signal type of the pending data, the corresponding fluctuation range of the pending data is determined；
Judge whether the pending data is within the fluctuation range；
If so, carrying out physical condition assessment to respective client according to the pending data；
Otherwise, then warning message is triggered.
A kind of acquisition device of the physiological data signals processing across hardware platform, comprising:
Acquisition module for acquiring physiological data signals, and determines the signal type of the physiological data signals；
Adaptation module, for determining the corresponding preset signal analysis window size of signal type；
Package module, for being packaged according to the signal analysis window size to the physiological data signals；
Transmission module, for the physiological data signals after encapsulation to be sent to receiving end.
Optionally, when acquiring physiological data signals, and determining the signal type of the physiological data signals, the acquisition mould Block is used for:
According to the physiological data signals of acquisition, the changing rule of the physiological data signals is judged；
According to the changing rule of the physiological data signals, the signal type of the physiological data signals is determined.
Optionally, when determining the preset signal analysis window size of the corresponding signal type, the adaptation module is used for:
According to the corresponding relationship between preset signal type and signal analysis window size, the corresponding class signal is determined The preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is based on analysis institute State what data volume required for the physiological data signals under a signal type determined.
Optionally, when being packaged according to the signal analysis window size to the physiological data signals, the encapsulation Module is used for:
According to the signal analysis window size, initial package length is determined；
Detect the congestion ratio of network transfer speeds and receiving end；
Congestion ratio based on the network transfer speeds and receiving end is adjusted the initial package length, obtains mesh Mark package length；
The physiological data signals are packaged using the target envelope length.
Optionally, the package module is further used for:
If the network transfer speeds are less than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal in advance If congestion ratio threshold value, then the fractional multiple based on the signal analysis window size carries out the initial package length Adjustment obtains target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal in advance If congestion ratio threshold value, alternatively, and congestion ratio is less than if network transfer speeds are less than or equal to preset transmission speed threshold value Equal to preset congestion ratio threshold value, then be based on the signal analysis window size, by the initial package length directly as Target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is less than or equal in advance If congestion ratio threshold value, then the integer multiple based on the signal analysis window size carries out the initial package length Adjustment obtains target envelope length.
A kind of reception device of the physiological data signals processing across hardware platform, comprising:
Module is obtained, for obtaining the physiological data signals of collection terminal acquisition, and determines the letter of the physiological data signals Number type；
Adaptation module, for determining the corresponding preset signal analysis window size of signal type；
Read module is obtained for reading data from the physiological data signals according to the signal analysis window size Obtain several pending datas；
Processing module, for being analyzed and processed to the pending data of acquisition.
Optionally, when determining the preset signal analysis window size of the corresponding signal type, the adaptation module is used for:
According to the corresponding relationship between preset signal type and signal analysis window size, the corresponding class signal is determined The preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is based on analysis institute State what data volume required for the physiological data signals under a signal type determined.
Optionally, the physiological data signals are read out according to the signal analysis window size, obtain it is several to When handling data, the read module is used for:
According to the signal analysis window size, the reading length of physiological data signals is determined；
Based on the reading length, the physiological data signals are adjusted, obtain several pending datas.
Optionally, the read module is further used for:
If the target envelope length of the physiological data signals obtained is less than the reading length, by the physiology of multiple encapsulation Data-signal is spliced according to the reading length, obtains corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is equal to, reads length, by the physiological data of multiple encapsulation Signal is directly as corresponding pending data.
If the target envelope length of the physiological data signals obtained, which is greater than, reads length, using the reading length to envelope The physiological data signals of dress carry out cutting, obtain corresponding pending data.
Optionally, the read module is further used for:
If the physiological data signals obtained, without encapsulation process, read module is according to the reading length directly from obtaining The data that corresponding length is read in the physiological data signals taken, as pending data.
Any one pending data of acquisition is analyzed and processed, comprising:
Processing module determines the corresponding fluctuation model of the pending data according to the signal type of the pending data It encloses；
Processing module judges whether the pending data is within the fluctuation range；
If so, processing module carries out physical condition assessment to respective client according to the pending data；
Otherwise, then processing module triggers warning message.
A kind of computer equipment, comprising:
At least one processor, and the memory being connect at least one described processor；
Wherein, the memory is stored with the instruction that can be executed by least one described processor, described at least one The instruction that device is stored by executing the memory is managed, method described in any of the above embodiments is executed.
A kind of storage medium, comprising:
The computer-readable recording medium storage has computer instruction, when the computer instruction is run on computers When, so that computer executes method described in any of the above embodiments.The present invention has the beneficial effect that:
In conclusion in the embodiment of the present invention, the signal type of physiological data signals of the collection terminal based on acquisition, according to phase The signal analysis window size answered is sent to receiving end after being packaged to physiological data signals, and receiving end receives physiological data After signal, also can according to the corresponding preset signal analysis window size of signal type, read from physiological data signals data into Row analysis processing.In this way, the signal type that collection terminal and receiving end are based respectively on physiological data signals carry out corresponding encapsulation and It reads, so as to realize the remote collection and Real Time Monitoring of physiological data signals, meanwhile, life of the collection terminal based on acquisition The signal type for managing data-signal, physiological data signals are packaged according to corresponding package length, not only can be by physiology The transmitted data amount control of data-signal in a certain range, can also be provided according to the analysis demand of physiological data signals The physiological data signals of proper data amount, meanwhile, receiving end also can analysis window size reading corresponding length physiology according to signal Data-signal to not only ensure that the smooth transmission of physiological data signals, but also improves the analysis speed of physiological data signals, into And reduce the processing difficulty of physiological data signals.
Detailed description of the invention
Fig. 1 is the flow chart that collection terminal handles physiological data signals in the embodiment of the present invention；
Fig. 2 is the flow chart that receiving end handles physiological data signals in the embodiment of the present invention；
Fig. 3 is the illustrative view of functional configuration of signal pickup assembly in the embodiment of the present invention；
Fig. 4 is the illustrative view of functional configuration of signal receiving device in the embodiment of the present invention.
Specific embodiment
In order to realize acquisition in real time and transmission physiological data signals, the reading speed of physiological data signals is improved, the present invention In embodiment, fragment encapsulation can be carried out to physiological data signals in collection terminal, and divide physiological data signals in receiving end Piece receives, to reduce the processing difficulty of physiological data signals.
The preferred embodiment of the present invention is described in detail with reference to the accompanying drawing.
In the embodiment of the present invention, before carrying out physiological data signals processing, optionally, can first preset signals type and Corresponding relationship between signal analysis window size determines the signal analysis window size of corresponding signal type, wherein a letter Number corresponding signal analysis window size of type is based on number required for the physiological data signals under one signal type of analysis Determining according to amount.
For example, can preset the corresponding signal analysis window size of eeg data signal is 10 seconds, electrocardio number can be preset It is believed that number corresponding signal analysis window size is 10 seconds, oximetry data signal and respiratory air flow data-signal pair can also be preset The signal analysis window size answered is 60 seconds to 240 seconds.
Further, the transmission speed threshold value an of network transfer speeds and the congestion ratio thresholding of receiving end are preset Value, for judging the reception situation of network transmission environment and receiving end.
After obtaining above- mentioned information, physiological data signals can be acquired and performed corresponding processing, specifically, institute refering to fig. 1 Show, in embodiments of the present invention, collection terminal is as follows to the process flow of physiological data signals:
Step 100: collection terminal acquires physiological data signals.
Optionally, physiological data signals can be by the acquisition of hospital clinical physiological data collection instrument, be also possible to just Take the acquisition of formula physiological data collection instrument.
Optionally, collection terminal can directly be transformed or increase agent side in collection terminal, to the physiological data signals of acquisition Execute subsequent processing steps.
Step 101: collection terminal determines the signal type of physiological data signals.
Specifically, the changing rule of the physiological data signals of judgement acquisition.
For example, the fluctuation pattern of eeg data signal and electrocardiogram (ECG) data signal is complete with sleep analysis monitor data instance Difference, can the fluctuation pattern to the physiological data signals of acquisition carry out preliminary judgement.
Specifically, determining the signal type of physiological data signals according to the changing rule of physiological data signals.
For example, the fluctuation pattern of physiological data signals is judged tentatively with sleep monitor data instance, the wave that will be judged Dynamic rule is compared with the fluctuation pattern of multi-signal types of conventional, selects the immediate signal type of fluctuation pattern as adopting The signal type of the physiological data signals of collection.
On the other hand, the signal of the physiological data signals of acquisition according to the collection terminal type of acquisition instrument, can also be determined Type, details are not described herein.
Step 102: collection terminal determines the corresponding preset signal analysis window size of signal type.
Specifically, determining corresponding letter according to the corresponding relationship between preset signal type and signal analysis window size Number preset signal analysis window size of type.
For example, with sleep monitor data instance, based on pair between preset signal type and signal analysis window size It should be related to, determine that the preset signal analysis window size of corresponding eeg data signal is 10 seconds, determine corresponding electrocardiogram (ECG) data letter Number preset signal analysis window size is 10 seconds, and determines that corresponding oximetry data signal and respiratory air flow data-signal are default Signal analysis window size be 60 seconds to 240 seconds.
Step 103: collection terminal is packaged physiological data signals according to signal analysis window size.
In one embodiment, execute step 103 when, collection terminal in the following ways:
Firstly, collection terminal determines initial package length according to signal analysis window size.
Specifically, collection terminal can determine the sample rate of physiological data signals according to the signal type of physiological data signals, Again based on sample rate, the data volume size of each sampled point and above-mentioned signal analysis window size, physiological data signals are determined Initial package length.
So, collection terminal can be calculated using the following equation the initial package length of physiological data signals:
PInitially=fs × F1×a
Wherein, PInitiallyFor initial package length, fs is the sample rate of physiological data signals, F1For signal analysis window size, A indicates the data volume size of a sampled point.
For example, with sleep monitor data instance, it is assumed that the physiological data signals of acquisition include eeg data signal, electrocardio number It is believed that number, oximetry data signal and respiratory air flow data-signal, wherein the sample rate of eeg data signal is that 512Hz is (i.e. per second 512 sampled points of kind acquisition), the sample rate of electrocardiogram (ECG) data signal is 512Hz, and the sample rate of oximetry data signal is 25Hz, is exhaled The sample rate of inspiratory flow data-signal is 100Hz, simultaneously, it is assumed that the data volume size of each sampled point is 4 bits.
So, after above-mentioned formula calculates, the initial package length of eeg data signal are as follows:
PInitially=fs × F1× a=512 × 10 × 4=20480B=20KB
Likewise, the initial package length of calculated electrocardiogram (ECG) data signal are as follows:
PInitially=fs × F1× a=512 × 10 × 4=20480B=20KB
Assuming that the preset signal analysis window size of oximetry data signal is 102.4 seconds, then calculated oximetry data is believed Number initial package length are as follows:
PInitially=fs × F1× a=25 × 102.4 × 4=10240B=10KB
Assuming that the preset signal analysis window size of respiratory air flow data-signal is 102.4 seconds, then calculated tidal air The initial package length of flow data signal are as follows:
PInitially=fs × F1× a=100 × 102.4 × 4=40960B=40KB
Secondly, the congestion ratio of detection network transfer speeds and receiving end.
Specifically, receiving end can detect the congestion ratio of network transfer speeds and receiving end, and fed back to collection terminal, acquisition Network transfer speeds and preset transmission speed threshold value can be compared by end, judge the speed of network transfer speeds, and The congestion ratio of receiving end and preset congestion ratio threshold value are compared, judge the receiving velocity of receiving end.
Again, collection terminal can the congestion ratio based on network transfer speeds and receiving end initial package length is adjusted, Obtain target envelope length.
Specifically, if network transfer speeds are less than preset transmission speed threshold value, and congestion ratio is greater than preset congestion Rate threshold value, illustrates that network condition is worst at this time, then the fractional multiple based on signal analysis window size, to initial package length It is adjusted, obtains target envelope length, it is specific as follows；
Wherein, N1For positive integer.
For example, by taking eeg data signal as an example, when network transfer speeds are less than preset transmission speed threshold value, and congestion When rate is greater than preset congestion ratio threshold value, then the initial package length 20KB of eeg data signal is subjected to fractional multiple tune It is whole, it is assumed that N1Value be 2, obtain adjustment hindbrain electricity data-signal target envelope length be 10KB.
If network transfer speeds are greater than preset transmission speed threshold value, and congestion ratio is greater than preset congestion ratio thresholding Value, alternatively, if network transfer speeds are less than preset transmission speed threshold value, and congestion ratio is less than preset congestion ratio thresholding Value, illustrates that network condition is general at this time, then signal analysis window size is based on, by initial package length directly as target envelope Length, specific as follows:
PTarget=PInitially=fs × F1×a
For example, by taking oximetry data signal as an example, when network transfer speeds are greater than preset transmission speed threshold value, and congestion When rate is greater than preset congestion ratio threshold value, then by the initial package length 10KB of oximetry data signal directly as oximetry data The target envelope length of signal.
If network transfer speeds are greater than preset transmission speed threshold value, and congestion ratio is less than preset congestion ratio thresholding Value, illustrate that network condition is best at this time, then the integer multiple based on signal analysis window size, to the initial package length into Row adjustment obtains target envelope length, specific as follows:
PTarget=fs × F1×N2×a
Wherein, N2For positive integer.
For example, by taking respiratory air flow data-signal as an example, when network transfer speeds are greater than preset transmission speed threshold value, and When congestion ratio is less than preset congestion ratio threshold value, then the initial package length 40KB of respiratory air flow data-signal is subjected to integer Multiple adjustment, it is assumed that N2Value be 2, after being adjusted the target envelope length of respiratory air flow data-signal be 80KB.
Finally, being packaged using target envelope length to physiological data signals.
Specifically, choosing the physiology number of equal length according to target envelope length according to calculated target envelope length It is believed that number being packaged.
Step 104: the physiological data signals after encapsulation are sent to receiving end by collection terminal.
Specifically, the physiological data signals after encapsulation are passed through network real-time Transmission to receiving end.
After receiving end gets the data that collection terminal sends over, the physiological data signals of acquisition are located accordingly Reason, as shown in fig.2, in embodiments of the present invention, receiving end is as follows to the process flow of physiological data signals:
Step 200: receiving end obtains the physiological data signals of collection terminal acquisition, and determines the class signal of physiological data signals Type.
Specifically, receiving end can obtain physiological data signals by static acquisition modes, i.e., collection terminal is not to physiology Data-signal is packaged processing, will directly set the physiological data signals acquired in duration and is sent out by way of copying or transmitting It send to receiving end.
On the other hand, receiving end can also obtain physiological data signals by dynamic acquisition mode, i.e., collection terminal is to physiology Data-signal is packaged processing, and by physiological data signals real-time Transmission to receiving end.
Step 201: receiving end determines the corresponding preset signal analysis window size of signal type.
Specifically, determining corresponding letter according to the corresponding relationship between preset signal type and signal analysis window size Number preset signal analysis window size of type.
For example, with sleep monitor data instance, based on pair between preset signal type and signal analysis window size It should be related to, determine that the corresponding preset signal analysis window size of eeg data signal is 10 seconds, determine corresponding electrocardiogram (ECG) data signal Preset signal analysis window size is 10 seconds, and determines that corresponding oximetry data signal and respiratory air flow data-signal are preset Signal analysis window size is 60 seconds to 240 seconds.
Step 202: data are read according to signal analysis window size in receiving end from physiological data signals, obtain it is several to Handle data.
Specifically, in one embodiment, according to the corresponding signal analysis window size of physiological data signals, determining physiology The reading length of data-signal, receiving end can be calculated using the following equation the reading length of physiological data signals:
D=fs × F1×a
Wherein, D is the reading length of physiological data signals, and fs is the sample rate of physiological data signals, F1For signal analysis Window size, a indicate the data volume size of a sampled point.
For example, the reading length for calculating eeg data signal is 20KB with sleep monitor data instance, blood oxygen is calculated The reading length of data-signal is 10KB, and calculating the reading length of respiratory air flow data-signal is 40KB.
Further, based on determining reading length, physiological data signals are adjusted, obtain several numbers to be processed According to.
Specifically, if receiving end passes through static acquisition modes and obtains physiological data signals, then, collection terminal is not to physiology Data-signal is packaged processing, will directly set the physiological data signals acquired in duration and is sent out by way of copying or transmitting It send to receiving end, then receiving end is read corresponding long based on the reading length determined directly from the physiological data signals of acquisition The data of degree obtain several pending datas.
For example, receiving end directly obtains length from collection terminal by way of copy and is by taking eeg data signal as an example The EEG signals data of 200KB, then according to the reading length 20KB of EEG signals data, directly from the EEG signals data of acquisition In be successively read length be 20KB data, obtain 10 segment length be 20KB pending data.
On the other hand, if receiving end obtains physiological data signals by dynamic acquisition mode, then, collection terminal is to physiology number It is believed that number being packaged processing, and by physiological data signals real-time Transmission to receiving end, then to the physiological data signals after encapsulation Execute following operation:
If the target envelope length of the physiological data signals obtained, which is less than, reads length, by the physiological data of multiple encapsulation Signal is spliced according to length is read, and obtains corresponding pending data.
For example, the target envelope length of eeg data signal is 10KB by taking eeg data signal as an example, it is less than and reads length 20KB, then can by two encapsulate eeg data signal splice, obtain length be 20KB eeg data signal to Handle data.
If the target envelope length of the physiological data signals obtained, which is equal to, reads length, by the physiological data of multiple encapsulation Signal is directly as corresponding pending data.
For example, the target envelope length of oximetry data signal is 10KB by taking oximetry data signal as an example, it is equal to and reads length 10KB then can be directly read out according to the package length of oximetry data signal, obtained the oximetry data that length is 10KB and believed Number pending data.
If the target envelope length of the physiological data signals obtained, which is greater than, reads length, using reading length to encapsulation Physiological data signals carry out cutting, obtain corresponding pending data.
For example, the target envelope length of respiratory air flow data-signal is 80KB by taking respiratory air flow data-signal as an example, it is greater than Length 40KB is read, then the respiratory air flow data-signal that can be encapsulated one carries out cutting, and obtaining two length is 40KB's Pending data.
Step 203: receiving end is analyzed and processed the pending data of acquisition.
Specifically, in one embodiment, according to the signal type of pending data, determining the corresponding wave of pending data Dynamic range.
For example, with sleep monitor data instance, the electric signal range of eeg data signal be 1 μ V between 100 μ V, frequency Range be 0.5Hz between 100Hz, the electric signal range of electrocardiogram (ECG) data signal is 10 μ V to 5mV, frequency range be 0.3Hz extremely Between 3Hz.
Further, according to the corresponding fluctuation range of pending data, judge whether pending data is in determining wave Within the scope of dynamic.
If pending data is within determining fluctuation range, it can be determined that the physiological data signals of acquisition are effective , then pending data is sent to client and is shown and analyzed, body is carried out to respective client according to pending data Status assessment.
If pending data is not within determining fluctuation range, it can be determined that the physiological data of acquisition be it is invalid, Warning message is then triggered, warning message can be sent to collection terminal, can also be sent to receiving end, be not limited thereto.
It falls off or electrode slice patch location inaccuracy for example, electrode slice occurs in collection terminal, can all lead to number to be processed According to except determining fluctuation range, then warning message is sent to collection terminal or receiving end.
Based on the above embodiment, as shown in fig.3, in the embodiment of the present invention, a kind of physiological data letter across hardware platform Number processing acquisition device (e.g., sleep monitor) include at least acquisition module 30, adaptation module 31, package module 32 and transmission Module 33, in which:
Acquisition module 30 for acquiring physiological data signals, and determines the signal type of physiological data signals.
Adaptation module 31, for determining the corresponding preset signal analysis window size of signal type.
Package module 32, for being packaged according to signal analysis window size to physiological data signals.
Transmission module 33, for the physiological data signals after encapsulation to be sent to receiving end.
Optionally, when acquiring physiological data signals, and determining the signal type of the physiological data signals, the acquisition mould Block 30 is used for:
According to the physiological data signals of acquisition, the changing rule of the physiological data signals is judged；
According to the changing rule of the physiological data signals, the signal type of the physiological data signals is determined.
Optionally, when determining the preset signal analysis window size of the corresponding signal type, the adaptation module 31 is used In:
According to the corresponding relationship between preset signal type and signal analysis window size, the corresponding class signal is determined The preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is based on analysis institute State what data volume required for the physiological data signals under a signal type determined.
Optionally, when being packaged according to the signal analysis window size to the physiological data signals, the encapsulation Module 32 is used for:
According to the signal analysis window size, initial package length is determined；
Detect the congestion ratio of network transfer speeds and receiving end；
Congestion ratio based on the network transfer speeds and receiving end is adjusted the initial package length, obtains mesh Mark package length；
The physiological data signals are packaged using the target envelope length.
Optionally, the package module 32 is further used for:
If the network transfer speeds are less than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal in advance If congestion ratio threshold value, then the fractional multiple based on the signal analysis window size carries out the initial package length Adjustment obtains target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal in advance If congestion ratio threshold value, alternatively, and congestion ratio is less than if network transfer speeds are less than or equal to preset transmission speed threshold value Equal to preset congestion ratio threshold value, then be based on the signal analysis window size, by the initial package length directly as Target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is less than or equal in advance If congestion ratio threshold value, then the integer multiple based on the signal analysis window size carries out the initial package length Adjustment obtains target envelope length.
As shown in fig.4, in the embodiment of the present invention, a kind of reception device of the physiological data signals processing across hardware platform Including at least acquisition module 40, adaptation module 41, read module 42 and processing module 43, in which:
Module 40 is obtained, for obtaining the physiological data signals of collection terminal acquisition, and determines the signal of physiological data signals Type.
Adaptation module 41, for determining the corresponding preset signal analysis window size of signal type.
Read module 42 obtains several for reading data from physiological data signals according to signal analysis window size Pending data.
Processing module 43, for being analyzed and processed to the pending data of acquisition.
Optionally, the physiological data signals of collection terminal acquisition are obtained, and determine the signal type of the physiological data signals When, the acquisition module 40 is used for:
According to the physiological data signals of acquisition, the changing rule of the physiological data signals is judged；
According to the changing rule of the physiological data signals, the signal type of the physiological data signals is determined.
Optionally, when determining the preset signal analysis window size of the corresponding signal type, the adaptation module 41 is used In:
According to the corresponding relationship between preset signal type and signal analysis window size, the corresponding class signal is determined The preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is based on analysis institute State what data volume required for the physiological data signals under a signal type determined.
Optionally, the physiological data signals are read out according to the signal analysis window size, obtain it is several to When handling data, the read module 42 is used for:
According to the signal analysis window size, the reading length of physiological data signals is determined；
Based on the reading length, the physiological data signals are adjusted, obtain several pending datas.
Optionally, the read module 42 is further used for:
If the target envelope length of the physiological data signals obtained is less than the reading length, by the physiology of multiple encapsulation Data-signal is spliced according to the reading length, obtains corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is equal to, reads length, by the physiological data of multiple encapsulation Signal is directly as corresponding pending data.
If the target envelope length of the physiological data signals obtained, which is greater than, reads length, using the reading length to envelope The physiological data signals of dress carry out cutting, obtain corresponding pending data.
Optionally, the read module 42 is further used for:
If the physiological data signals obtained, without encapsulation process, read module is according to the reading length directly from obtaining The data that corresponding length is read in the physiological data signals taken, as pending data.
Any one pending data of acquisition is analyzed and processed, comprising:
Processing module determines the corresponding fluctuation model of the pending data according to the signal type of the pending data It encloses；
Processing module judges whether the pending data is within the fluctuation range；
If so, processing module carries out physical condition assessment to respective client according to the pending data；
Otherwise, then processing module triggers warning message.
It further include a kind of computer equipment in the embodiment of the present invention, the computer equipment includes:
At least one processor, and the memory being connect at least one described processor；
Wherein, the memory is stored with the instruction that can be executed by least one described processor, described at least one The instruction that device is stored by executing the memory is managed, any one of the above method is executed.
It further include a kind of storage medium in the embodiment of the present invention, the storage medium includes:
The computer-readable recording medium storage has computer instruction, when the computer instruction is run on computers When, so that computer executes any one of the above method.In conclusion in the embodiment of the present invention, life of the collection terminal based on acquisition The signal type for managing data-signal, is sent to after being packaged according to corresponding signal analysis window size to physiological data signals and connects Receiving end, and after receiving end receives physiological data signals, also can according to the corresponding preset signal analysis window size of signal type, Data are read from physiological data signals to be analyzed and processed.In this way, collection terminal and receiving end are based respectively on physiological data signals Signal type encapsulated and read accordingly, so as to realize the remote collection and real-time monitoring point of physiological data signals Analysis, meanwhile, the signal type of physiological data signals of the collection terminal based on acquisition, to physiological data signals according to corresponding encapsulation length Degree is packaged, and can not only be controlled the transmitted data amount of physiological data signals in a certain range, can also be according to physiology The analysis demand of data-signal provides the physiological data signals of proper data amount, meanwhile, receiving end can also be analyzed according to signal Window size reads corresponding length physiological data signals, to not only ensure that the smooth transmission of physiological data signals, but also improves The analysis speed of physiological data signals, thereby reduces the processing difficulty of physiological data signals.
Further, it when collection terminal is packaged physiological data signals, is first determined just according to signal analysis window size Beginning package length, then the congestion ratio based on network transfer speeds and receiving end are adjusted initial package length, obtain target Package length is sent to receiving end after being packaged according still further to target envelope length to physiological data signals, in this way, collection terminal can be with The target envelope length of physiological data signals is adjusted, adaptively according to network environment so as to effectively improve physiological data letter Number efficiency of transmission, meet the real-time remotely monitored.
Meanwhile and receiving end can read physiological data letter according to the reading length determined based on signal analysis window size Number, if the target envelope length of physiological data signals, which is less than, reads length, physiological data signals are carried out according to length is read Splicing, if the target envelope length of physiological data signals be greater than read length, according to read length to physiological data signals into Row cutting, to be analyzed after obtaining several pending datas, in this way, receiving end is according to reading length to physiological data signals The reading for carrying out adaptability greatly enhances the reading and analysis speed of physiological data signals, it is a large amount of to increase processing The flexibility of physiological data signals.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, those skilled in the art can carry out various modification and variations without departing from this hair to the embodiment of the present invention The spirit and scope of bright embodiment.In this way, if these modifications and variations of the embodiment of the present invention belong to the claims in the present invention And its within the scope of equivalent technologies, then the present invention is also intended to include these modifications and variations.

Claims (24)

1. a kind of physiological data signals processing method across hardware platform characterized by comprising
Physiological data signals are acquired, and determine the signal type of the physiological data signals；
Determine the corresponding preset signal analysis window size of signal type；
The physiological data signals are packaged according to the signal analysis window size；
Physiological data signals after encapsulation are sent to receiving end.
2. the method as described in claim 1, which is characterized in that acquisition physiological data signals, and determine the physiological data letter Number signal type, comprising:
According to the physiological data signals of acquisition, the changing rule of the physiological data signals is judged；
According to the changing rule of the physiological data signals, the signal type of the physiological data signals is determined.
3. the method as described in claim 1, which is characterized in that determine the corresponding preset signal analysis window of signal type Size, comprising:
According to the corresponding relationship between preset signal type and signal analysis window size, determine that the corresponding signal type is pre- If signal analysis window size；Wherein, the corresponding signal analysis window size of a signal type is based on analysis described one What data volume required for the physiological data signals under a signal type determined.
4. such as claim 1,2 or 3 the methods, which is characterized in that according to the signal analysis window size to the physiology Data-signal is packaged, comprising:
According to the signal analysis window size, initial package length is determined；
Detect the congestion ratio of network transfer speeds and receiving end；
Congestion ratio based on the network transfer speeds and receiving end is adjusted the initial package length, obtains target envelope Fill length；
The physiological data signals are packaged using the target envelope length.
5. method as claimed in claim 4, which is characterized in that the congestion ratio pair based on the network transfer speeds and receiving end The initial package length is adjusted, and obtains target envelope length, comprising:
If the network transfer speeds are less than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal to preset Congestion ratio threshold value, the then fractional multiple based on the signal analysis window size, is adjusted the initial package length, Obtain target envelope length；
If the network transfer speeds are greater than preset transmission speed threshold value, and the congestion ratio is more than or equal to preset congestion Rate threshold value, alternatively, if network transfer speeds are less than preset transmission speed threshold value, and congestion ratio is less than preset congestion ratio Threshold value is then based on the signal analysis window size, by the initial package length directly as target envelope length；
If the network transfer speeds are greater than preset transmission speed threshold value, and the congestion ratio is less than preset congestion ratio door Limit value, the then integer multiple based on the signal analysis window size, is adjusted the initial package length, obtains target Package length.
6. a kind of physiological data signals processing method across hardware platform characterized by comprising
The physiological data signals of collection terminal acquisition are obtained, and determine the signal type of the physiological data signals；
Determine the corresponding preset signal analysis window size of signal type；
Data are read from the physiological data signals according to the signal analysis window size, obtain several pending datas；
The pending data of acquisition is analyzed and processed.
7. method as claimed in claim 6, which is characterized in that determine the corresponding preset signal analysis window of signal type Size, comprising:
According to the corresponding relationship between preset signal type and signal analysis window size, determine that the corresponding signal type is pre- If signal analysis window size；Wherein, the corresponding signal analysis window size of a signal type is based on analysis described one What data volume required for the physiological data signals under a signal type determined.
8. method as claimed in claim 6, which is characterized in that according to the signal analysis window size to the physiological data Signal is read out, and obtains several pending datas, comprising:
According to the signal analysis window size, the reading length of physiological data signals is determined；
Based on the reading length, the physiological data signals are adjusted, obtain several pending datas.
9. method as claimed in claim 8, which is characterized in that be based on the reading length, carried out to the physiological data signals Adjustment, obtains several pending datas, comprising:
If the target envelope length of the physiological data signals obtained is less than the reading length, by the physiological data of multiple encapsulation Signal is spliced according to the reading length, obtains corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is equal to, reads length, by the physiological data signals of multiple encapsulation Directly as corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is greater than, reads length, using the reading length to encapsulation Physiological data signals carry out cutting, obtain corresponding pending data.
10. method according to claim 8, which is characterized in that be based on the reading length, to the physiological data signals into Row adjustment, obtains several pending datas, comprising:
If the physiological data signals obtained are without encapsulation process, according to the reading length directly from the physiological data of acquisition The data that corresponding length is read in signal, as pending data.
11. such as any one of any one of claim 6-10 the method, which is characterized in that wait locating to acquisition any one Reason data are analyzed and processed, comprising:
According to the signal type of the pending data, the corresponding fluctuation range of the pending data is determined；
Judge whether the pending data is within the fluctuation range；
If so, carrying out physical condition assessment to respective client according to the pending data；
Otherwise, then warning message is triggered.
12. a kind of acquisition device of the physiological data signals processing across hardware platform characterized by comprising
Acquisition module for acquiring physiological data signals, and determines the signal type of the physiological data signals；
Adaptation module, for determining the corresponding preset signal analysis window size of signal type；
Package module, for being packaged according to the signal analysis window size to the physiological data signals；
Transmission module, for the physiological data signals after encapsulation to be sent to receiving end.
13. method as claimed in claim 12, which is characterized in that acquisition module for acquiring physiological data signals, and determines The signal type of the physiological data signals, comprising:
Acquisition module judges the changing rule of the physiological data signals according to the physiological data signals of acquisition；
Acquisition module determines the signal type of the physiological data signals according to the changing rule of the physiological data signals.
14. method as claimed in claim 12, which is characterized in that adaptation module, for determining that the corresponding signal type is pre- If signal analysis window size, comprising:
Adaptation module determines the corresponding letter according to the corresponding relationship between preset signal type and signal analysis window size Number preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is to be based on dividing Analyse what data volume required for the physiological data signals under one signal type determined.
15. such as claim 12,13 or 14 the methods, which is characterized in that package module, for according to the signal analysis window Mouth size is packaged the physiological data signals, comprising:
Package module determines initial package length according to the signal analysis window size；
The congestion ratio of package module detection network transfer speeds and receiving end；
Congestion ratio of the package module based on the network transfer speeds and receiving end is adjusted the initial package length, obtains Obtain target envelope length；
Package module is packaged the physiological data signals using the target envelope length.
16. method as claimed in claim 15, which is characterized in that package module is based on the network transfer speeds and receiving end Congestion ratio the initial package length is adjusted, obtain target envelope length, comprising:
If the network transfer speeds are less than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal to preset Congestion ratio threshold value, then fractional multiple of the package module based on the signal analysis window size, to the initial package length It is adjusted, obtains target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is more than or equal to preset Congestion ratio threshold value, alternatively, if network transfer speeds are less than or equal to preset transmission speed threshold value, and congestion ratio is less than or equal to Preset congestion ratio threshold value, then package module is based on the signal analysis window size, and the initial package length is direct As target envelope length；
If the network transfer speeds are more than or equal to preset transmission speed threshold value, and the congestion ratio is less than or equal to preset Congestion ratio threshold value, then integer multiple of the package module based on the signal analysis window size, to the initial package length It is adjusted, obtains target envelope length.
17. a kind of reception device of the physiological data signals processing across hardware platform characterized by comprising
Module is obtained, for obtaining the physiological data signals of collection terminal acquisition, and determines the class signal of the physiological data signals Type；
Adaptation module, for determining the corresponding preset signal analysis window size of signal type；
Read module, for reading data from the physiological data signals according to the signal analysis window size, if obtaining Dry pending data；
Processing module, for being analyzed and processed to the pending data of acquisition.
18. device as claimed in claim 17, which is characterized in that adaptation module determines the corresponding preset letter of signal type Number analysis window size, comprising:
Adaptation module determines the corresponding letter according to the corresponding relationship between preset signal type and signal analysis window size Number preset signal analysis window size of type；Wherein, the corresponding signal analysis window size of a signal type is to be based on dividing Analyse what data volume required for the physiological data signals under one signal type determined.
19. device as claimed in claim 18, which is characterized in that read module, for big according to the signal analysis window It is small that the physiological data signals are read out, obtain several pending datas, comprising:
Read module determines the reading length of physiological data signals according to the signal analysis window size；
Read module is based on the reading length, is adjusted to the physiological data signals, obtains several pending datas.
20. device as claimed in claim 19, which is characterized in that read module is based on the reading length, to the physiology number It is believed that number being adjusted, several pending datas are obtained, comprising:
If the target envelope length of the physiological data signals obtained is less than the reading length, read module is by multiple encapsulation Physiological data signals are spliced according to the reading length, obtain corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is equal to, reads length, read module is by the physiology of multiple encapsulation Data-signal is directly as corresponding pending data；
If the target envelope length of the physiological data signals obtained, which is greater than, reads length, read module uses the reading length Cutting is carried out to the physiological data signals of encapsulation, obtains corresponding pending data.
21. device as claimed in claim 19, which is characterized in that read module is based on the reading length, to the physiology Data-signal is adjusted, and obtains several pending datas, comprising:
If the physiological data signals obtained are without encapsulation process, read module is according to the reading length directly from acquisition The data that corresponding length is read in physiological data signals, as pending data.
22. such as any one of any one of claim 17-21 described device, which is characterized in that processing module, for acquisition Any one pending data be analyzed and processed, comprising:
Processing module determines the corresponding fluctuation range of the pending data according to the signal type of the pending data；
Processing module judges whether the pending data is within the fluctuation range；
If so, processing module carries out physical condition assessment to respective client according to the pending data；
Otherwise, then processing module triggers warning message.
23. a kind of computer equipment characterized by comprising
At least one processor, and the memory being connect at least one described processor；
Wherein, the memory is stored with the instruction that can be executed by least one described processor, at least one described processor By executing the instruction of the memory storage, such as the described in any item methods of claim 1-16 are executed.
24. a kind of computer readable storage medium characterized by comprising
The computer-readable recording medium storage has computer instruction, when the computer instruction is run on computers, So that computer executes the method as described in any one of claim 1-16.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113300967A (en) * 2021-02-05 2021-08-24 阿里巴巴集团控股有限公司 RDMA (remote direct memory Access) network transmission method and device and RDMA network communication system

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080130675A1 (en) * 2006-12-01 2008-06-05 General Instrument Corporation Method and System for Data Traffic Integration Using Dynamic Data Packet Fragmentation
WO2010127187A1 (en) * 2009-04-29 2010-11-04 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
CN102063598A (en) * 2009-11-17 2011-05-18 北大方正集团有限公司 Data encryption and decryption methods and devices
US8123686B2 (en) * 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
CN102547844A (en) * 2010-12-29 2012-07-04 通用电气公司 System and method for dynamic data management in a wireless network
CN102595552A (en) * 2012-02-23 2012-07-18 武汉中元通信股份有限公司 Packet radio network on-demand routing maintenance method based on adaptive dynamic mechanism
CN102823224A (en) * 2010-04-08 2012-12-12 皇家飞利浦电子股份有限公司 Patient monitoring over heterogeneous networks
CN103581900A (en) * 2012-08-01 2014-02-12 中国移动通信集团公司 Communication safety control method and device, first mobile terminal and mobile health device
WO2015048820A1 (en) * 2013-09-30 2015-04-02 The Research Foundation For The State University Of New York Transmission and medium access control techniques for ultrasonic communications in the body
CN104714781A (en) * 2013-12-17 2015-06-17 中国移动通信集团公司 Multi-mode signal data processing method, device and terminal device
CN105528857A (en) * 2016-01-11 2016-04-27 四川东鼎里智信息技术有限责任公司 Intelligent remote body sign data acquisition device
CN105591966A (en) * 2016-01-29 2016-05-18 深圳市科曼医疗设备有限公司 Central monitoring system network communication method and system
CN105662396A (en) * 2016-01-11 2016-06-15 四川东鼎里智信息技术有限责任公司 Method for acquiring human body life data
CN105686833A (en) * 2016-01-13 2016-06-22 上海交通大学 Wearable multinode three dimensional motion monitoring system based on wireless body area network
CN105708418A (en) * 2016-01-21 2016-06-29 四川东鼎里智信息技术有限责任公司 Physiological data acquisition method
CN105902267A (en) * 2012-08-17 2016-08-31 尼尔森公司(美国)有限责任公司 System and method to gather and analyze electroencephalographic data
CN106709836A (en) * 2017-01-05 2017-05-24 沈阳东软医疗系统有限公司 Configuration information exchange method, device and equipment

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080130675A1 (en) * 2006-12-01 2008-06-05 General Instrument Corporation Method and System for Data Traffic Integration Using Dynamic Data Packet Fragmentation
US8123686B2 (en) * 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
WO2010127187A1 (en) * 2009-04-29 2010-11-04 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
CN102063598A (en) * 2009-11-17 2011-05-18 北大方正集团有限公司 Data encryption and decryption methods and devices
CN102823224A (en) * 2010-04-08 2012-12-12 皇家飞利浦电子股份有限公司 Patient monitoring over heterogeneous networks
CN102547844A (en) * 2010-12-29 2012-07-04 通用电气公司 System and method for dynamic data management in a wireless network
CN102595552A (en) * 2012-02-23 2012-07-18 武汉中元通信股份有限公司 Packet radio network on-demand routing maintenance method based on adaptive dynamic mechanism
CN103581900A (en) * 2012-08-01 2014-02-12 中国移动通信集团公司 Communication safety control method and device, first mobile terminal and mobile health device
CN105902267A (en) * 2012-08-17 2016-08-31 尼尔森公司(美国)有限责任公司 System and method to gather and analyze electroencephalographic data
WO2015048820A1 (en) * 2013-09-30 2015-04-02 The Research Foundation For The State University Of New York Transmission and medium access control techniques for ultrasonic communications in the body
CN104714781A (en) * 2013-12-17 2015-06-17 中国移动通信集团公司 Multi-mode signal data processing method, device and terminal device
CN105528857A (en) * 2016-01-11 2016-04-27 四川东鼎里智信息技术有限责任公司 Intelligent remote body sign data acquisition device
CN105662396A (en) * 2016-01-11 2016-06-15 四川东鼎里智信息技术有限责任公司 Method for acquiring human body life data
CN105686833A (en) * 2016-01-13 2016-06-22 上海交通大学 Wearable multinode three dimensional motion monitoring system based on wireless body area network
CN105708418A (en) * 2016-01-21 2016-06-29 四川东鼎里智信息技术有限责任公司 Physiological data acquisition method
CN105591966A (en) * 2016-01-29 2016-05-18 深圳市科曼医疗设备有限公司 Central monitoring system network communication method and system
CN106709836A (en) * 2017-01-05 2017-05-24 沈阳东软医疗系统有限公司 Configuration information exchange method, device and equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113300967A (en) * 2021-02-05 2021-08-24 阿里巴巴集团控股有限公司 RDMA (remote direct memory Access) network transmission method and device and RDMA network communication system
CN113300967B (en) * 2021-02-05 2024-03-12 阿里巴巴集团控股有限公司 RDMA network transmission method, RDMA network transmission device and RDMA network communication system

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