CN107080533B

CN107080533B - Physiological information acquisition device and method

Info

Publication number: CN107080533B
Application number: CN201710361955.3A
Authority: CN
Inventors: 高小峰
Original assignee: Medex Beijing Technology Ltd corp
Current assignee: Medex Beijing Technology Ltd corp
Priority date: 2017-05-22
Filing date: 2017-05-22
Publication date: 2021-01-05
Anticipated expiration: 2037-05-22
Also published as: CN107080533A

Abstract

The present disclosure relates to a physiological information acquisition device and method. The device includes: the acquisition module acquires an acquisition signal associated with the physiological information of the user; the connecting wire is provided with a connecting mark, and the first end part of the connecting wire is connected to the interface of the acquisition module; the camera module is used for acquiring a first image comprising an interface and a connection identifier; and a processing module connected to the camera module and the acquisition module, wherein the processing module is configured to: identifying a connection identifier and an interface in the first image; determining the connection state between the connection line and the interface according to the connection identifier and the interface; based on the connection state, a processing algorithm associated with the connection state is determined. According to the physiological information acquisition device and the physiological information acquisition method, the associated processing algorithm for processing the acquired signals is determined according to the connection state of the connection line and the interface of the acquisition module, the determination mode of the processing algorithm is simple, and the determination efficiency and accuracy are high.

Description

Physiological information acquisition device and method

Technical Field

The disclosure relates to the technical field of medical detection, in particular to a physiological information acquisition device and method.

Background

In order to better determine the illness state of the patient, the patient needs to be examined in detail through medical instruments, and then the illness state of the patient is determined according to the examination result, so that the patient can be treated quickly and accurately. The detection device acquires the signal associated with the physiological information of the user through the acquisition module of the detection device, and processes the signal through a corresponding algorithm to acquire the physiological information data of the user. However, the number of connecting lines for transmitting the signals acquired by the acquisition module in the detection device is large, so that the algorithm determination difficulty is large, the accuracy is low, and great troubles are often brought to the signal processing.

Disclosure of Invention

In view of this, the present disclosure provides a physiological information collecting device and method to solve the problems of difficult determination and low efficiency of a related processing algorithm in a processing process of collected signals associated with user physiological information.

According to an aspect of the present disclosure, there is provided a physiological information acquisition apparatus including:

the acquisition module acquires an acquisition signal associated with the physiological information of the user;

the connecting wire is provided with a connecting mark, and the first end of the connecting wire is connected to the interface of the acquisition module;

the camera module is used for acquiring a first image comprising the interface and the connection identifier; and

a processing module connected with the camera module and the acquisition module,

wherein the processing module is configured to:

identifying a connection identifier and an interface in the first image;

determining the connection state between the connecting line and the interface according to the connection identifier and the interface;

determining a processing algorithm associated with the connection state based on the connection state.

In one possible implementation, the processing module is further configured to:

and processing the acquired signals according to the processing algorithm.

In one possible implementation, determining a processing algorithm associated with the connection state includes:

and determining a processing algorithm associated with the connection state according to the connection state and the mapping relation between the stored connection state and the processing algorithm.

In one possible implementation, the connection identifier is located near the first end.

In one possible implementation, the connection line includes an optical fiber.

In one possible implementation, the interface is one or more.

In one possible implementation, the acquired signal includes an electroencephalogram signal and/or an electrocardiograph signal.

According to another aspect of the present disclosure, there is provided a physiological information acquisition method including:

acquiring a first image, wherein the first image comprises an interface of an acquisition module and a connection identifier of a connection line connected with the interface;

identifying a connection identifier and an interface in the first image;

In one possible implementation manner, the method further includes:

acquiring an acquisition signal associated with physiological information of a user;

and processing the acquired signals according to the processing algorithm.

The physiological information acquisition device and the method provided by the disclosure can determine the associated processing algorithm for processing the acquired signals according to the connection state of the connection line and the acquisition module interface, the determination mode of the processing algorithm is simple, and the determination efficiency and accuracy are high.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

Fig. 1 shows a block diagram of a physiological information acquisition device according to an embodiment of the present disclosure;

FIG. 2 shows a flow diagram of a physiological information acquisition method according to an embodiment of the present disclosure;

fig. 3 shows a flowchart of an example of a physiological information acquisition method according to an embodiment of the present disclosure.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

Example 1

Fig. 1 shows a block diagram of a physiological information acquisition apparatus according to an embodiment of the present disclosure, which may include an acquisition module 101, a connection line 102, a camera module 103, and a processing module 104, as shown in fig. 1.

The acquisition module 101 acquires an acquisition signal associated with the physiological information of the user.

As an example of the embodiment, the physiological information collecting device may be conveniently worn by the user, so as to collect the physiological information of the user without affecting the normal activities of the user, and obtain the collecting signal associated with the physiological information of the user. For example, the physiological information acquisition device may be a hat-shaped or helmet-shaped device that is conveniently worn on the head.

In one possible embodiment, the acquired signals may include brain electrical signals and/or heart electrical signals.

As an example of this embodiment, the electroencephalogram signal may be a signal representing physiological information of the brain of the user, and the electrocardiograph signal may be a signal representing physiological information of the heart of the user. The collected signals may also include signals representing physiological information of the user, such as blood pressure, respiration, etc., and are not limited herein.

The connection line 102 has a connection identifier 1021, and a first end 1022 of the connection line is connected to the interface 1011 of the acquisition module 101.

As an example of the present embodiment, the connection lines 102 may be distinguished according to the connection identifiers 1021, and each connection line 102 corresponds to a unique connection identifier 1021. It should be noted that, a person skilled in the art may set the connection identifier according to actual needs, and the connection identifier is not limited herein.

As an example of this embodiment, the connection identifier may be a colored ring band with identification features surrounding the connection line. The identifying features of the colored zones may include one or more of: the color of the color zones, the shape of the color zones, the width of the color zones, and the distance between adjacent color zones. In the case where a plurality of connection lines are provided, the connection lines can be distinguished by setting the number, color, shape, width, and distance between the color bands.

As an example of this embodiment, the connection identifier may further include one or more of numbers, letters, and figures. For example, in the case of 5 connection lines, the connection identification of the connection lines may be set to a number, and may be set to 1, 2, 3, 4, and 5, respectively. The connecting lines can be distinguished by numbers. It should be noted that, a person skilled in the art may set the connection identifier according to actual needs, and the connection identifier is not limited herein.

As an example of this embodiment, an end of the connection line connected to the acquisition module other than the first end portion may be connected to the processing module. The physiological information acquisition device can comprise one or more acquisition modules, and the acquisition modules can comprise sensors for acquiring the physiological information of the user to acquire acquisition signals. The processing module can be connected to the end of the connecting wire connected with the acquisition module, which is not the first end, and the acquisition signal acquired by the acquisition module is transmitted to the processing module.

As another example of this embodiment, the end of the connecting wire other than the first end portion may be connected to a sensor. The sensor can acquire the physiological information of the user to acquire an acquisition signal. The acquisition module can collect the acquisition signal that the sensor on each connecting wire gathered to transmit for processing module.

The camera module 103 acquires a first image including an interface 1011 and a connection identifier 1021.

As an example of this embodiment, the camera module 103 may rotate and move so as to acquire the first images from different angles and positions, and the acquired first images may be one or more. Therefore, the acquired one or more first images can be ensured to contain all the connection identifiers and interfaces, and the accuracy of the finally determined processing algorithm is ensured.

A processing module 104 connected to the camera module 103 and the capturing module 101, wherein the processing module 104 is configured to identify a connection identifier 1021 and an interface 1011 in the first image; determining the connection state between the connection line 102 and the interface 1011 according to the connection identifier 1021 and the interface 1011; based on the connection state, a processing algorithm associated with the connection state is determined.

In a possible implementation, the processing module 104 may be further configured to process the acquired signals according to a processing algorithm.

In one possible implementation, determining a processing algorithm associated with the connection state may include:

and determining the processing algorithm associated with the connection state according to the connection state and the mapping relation between the stored connection state and the processing algorithm.

As an example of this embodiment, the processing algorithm may correspond to only one connection state, and may also correspond to a plurality of connection states. For example, processing algorithm 1 may correspond to connection state T1, and processing algorithm 2 may correspond to connection state T2 and connection state T3. And a corresponding processing algorithm can be set according to the type of the acquired acquisition signal, the specific difference between the acquisition signals transmitted by different connecting lines and the like. For example, in the case where the acquired signal is an electroencephalogram signal, the processing algorithm may be set to a specific algorithm that can process the electroencephalogram signal.

Taking the example that the physiological information collecting device includes 4 connecting lines (the connecting line L1, the connecting line L2, the connecting line L3, and the connecting line L4) and 4 interfaces (the interface a, the interface b, the interface c, and the interface d) that can be connected to the 4 connecting lines, as shown in table 1 below, a mapping relationship between a connection state and a processing algorithm is shown. As shown in table 1 below, in the process of acquiring the acquisition signal, it is determined that the connection state between the connection line and the interface is the connection state T4 based on the acquired first image, and it may be determined according to table 1 below that the acquired acquisition signal is processed by using the processing algorithm 3 to acquire data representing physiological information of the user.

TABLE 1 mapping relationship between processing algorithm and connection state

Processing algorithm	Connection state	Interface a	Interface b	Interface c	Interface d
						Processing Algorithm 1	Connection state T1	Connecting line L1	Connecting line L2	Connecting line L3	Connecting line L4
Processing algorithm 2	Form of connectionState T2	Connecting line L2	Connecting line L3	Connecting line L4	Connecting line L1
						Processing algorithm 2	Connection state T3	Connecting line L3	Connecting line L4	Connecting line L1	Connecting line L2
Processing algorithm 3	Connection state T4	Connecting line L4	Connecting line L1	Connecting line L2	Connecting line L3
						Processing algorithm 4	Connection state T5	Connecting line L1	Connecting line L2	Connecting line L4	Connecting line L3
Processing algorithm 5	Connection state T6	Connecting line L1	Connecting line L4	Connecting line L2	Connecting line L3

In one possible embodiment, the connection indicator 1021 may be located near the first end 1022.

In this way, the camera module can reduce the difficulty of acquiring the first image including the interface and the connection identifier.

In one possible implementation, the connecting line 102 may include an optical fiber.

As an example of this embodiment, the connecting line may also be a coaxial line or other transmission line capable of propagating the collected signal, and is not limited herein.

In one possible implementation, the interface 1011 may be one or more.

As an example of this embodiment, the interface may further comprise one or more pairs of input/output interfaces, each pair comprising one input interface and one output interface. The interface can be set by those skilled in the art according to actual needs, and is not limited herein.

It should be noted that, although the physiological information acquisition device is described above by taking embodiment 1 as an example, those skilled in the art will understand that the present disclosure should not be limited thereto. In fact, the user can flexibly set each module according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.

The physiological information acquisition device provided by the disclosure determines the associated processing algorithm for processing the acquired signals according to the connection state of the connection line and the interface of the acquisition module, the determination mode of the processing algorithm is simple, and the determination efficiency and accuracy are high.

Example 2

Fig. 2 shows a flowchart of a physiological information acquisition method according to an embodiment of the present disclosure, and as shown in fig. 2, the method may include steps S21 to S24.

In step S21, a first image is acquired, where the first image includes an interface of the acquisition module and a connection identifier of a connection line connecting the interface.

In one possible embodiment, the connection indicator is located near the first end.

In one possible embodiment, the connecting line comprises an optical fiber.

In one possible implementation, the interface is one or more.

In step S22, the connection identifier and the interface in the first image are identified.

In step S23, the connection status between the connection line and the interface is determined according to the connection identifier and the interface.

In step S24, a processing algorithm associated with the connection state is determined according to the connection state.

Fig. 3 shows a flowchart of an example of a physiological information acquisition method according to an embodiment of the present disclosure, and as shown in fig. 3, the method may include steps S31 to S36.

In step S31, a first image is acquired, where the first image includes an interface of the acquisition module and a connection identifier of a connection line connecting the interface.

Wherein, the step S31 refers to the related description of the step S21.

In step S32, the connection identifier and the interface in the first image are identified.

Wherein, the step S32 refers to the related description of the step S22.

In step S33, the connection status between the connection line and the interface is determined according to the connection identifier and the interface.

Wherein, the step S33 refers to the related description of the step S23.

In step S34, a processing algorithm associated with the connection state is determined according to the connection state.

Wherein, the step S34 refers to the related description of the step S24.

In step S35, an acquisition signal associated with physiological information of a user is acquired.

In one possible embodiment, the acquired signals include brain electrical signals and/or cardiac electrical signals.

In step S36, the acquired signal is processed according to a processing algorithm.

As an example of the present embodiment, step S36 is performed after step S34. Step S35 may be executed before or after step S31, step S32, step S33 or step 34, and may also be executed simultaneously with step S31, step S32, step S33 or step 34, as long as step S25 is guaranteed to be executed before step S26, and is not limited herein.

According to the physiological information acquisition method provided by the disclosure, the associated processing algorithm for processing the acquired signals is determined according to the connection state of the connection line and the interface of the acquisition module, the determination mode of the processing algorithm is simple, and the determination efficiency and accuracy are high.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A physiological information acquisition apparatus, comprising:

wherein the processing module is configured to:

identifying a connection identifier and an interface in the first image;

determining, based on the connection state, a processing algorithm associated with the connection state,

wherein the determining a processing algorithm associated with the connection state comprises:

2. The apparatus of claim 1, wherein the processing module is further configured to:

and processing the acquired signals according to the processing algorithm.

3. The device of any of claims 1-2, wherein the connection indicator is located proximate to the first end.

4. The apparatus of any of claims 1-2, wherein the connection line comprises an optical fiber.

5. The apparatus of any of claims 1-2, wherein the interface is one or more.

6. The device according to any one of claims 1-2, wherein the acquired signal comprises an electroencephalogram signal and/or an electrocardiograph signal.

7. A method of physiological information acquisition, the method comprising:

identifying a connection identifier and an interface in the first image;

8. The method of claim 7, further comprising:

and processing the acquired signals according to the processing algorithm.