CN106725457A - A kind of inpatient's monitoring system based on brain machine artificial intelligence technology - Google Patents

A kind of inpatient's monitoring system based on brain machine artificial intelligence technology Download PDF

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Publication number
CN106725457A
CN106725457A CN201611266243.5A CN201611266243A CN106725457A CN 106725457 A CN106725457 A CN 106725457A CN 201611266243 A CN201611266243 A CN 201611266243A CN 106725457 A CN106725457 A CN 106725457A
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China
Prior art keywords
module
input
output end
control node
comparing module
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CN201611266243.5A
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Chinese (zh)
Inventor
朱艺
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Dongguan Link Electromechanical Technology Co Ltd
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Dongguan Link Electromechanical Technology Co Ltd
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Priority to CN201611266243.5A priority Critical patent/CN106725457A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/002Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7246Details of waveform analysis using correlation, e.g. template matching or determination of similarity
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention discloses a kind of inpatient's monitoring system based on brain machine artificial intelligence technology, including processor, the input of the processor electrically connects the output end of brain wave frequency data processing module, the input of brain wave frequency data processing module electrically connects the output end of brain wave frequency data acquisition module, the input of the output end electrical connection comparing module one of processor described in the output end of the input electrical connection brain wave chip of brain wave frequency data acquisition module, the input of the output end electrical connection comparing module two of comparing module one, the input of the output end electrical connection comparing module three of comparing module two, the input of the output end electrical connection comparing module four of comparing module three.The present invention replaces personnel to nurse the mode with monitoring camera-shooting by way of brain wave detects monitoring, can intuitively and accurately detect the emotional change of patient and make corresponding measure to it.

Description

A kind of inpatient's monitoring system based on brain machine artificial intelligence technology
Technical field
The present invention relates to brain wave technical field, specially a kind of inpatient's monitoring based on brain machine artificial intelligence technology System.
Background technology
Hospital mostly sees that bed is guarded or simple monitoring camera is carried out for the monitoring of inpatient by care provider Monitoring.But this mode of monitoring is merely able to go out from the surface observation of patient the mood and state of patient, it is difficult to accurately detect The emotional state and illness suffering of patient.But the mood and brain activity state of patient, brain electricity are will detect that by brain wave Ripple be brain in activity, what the postsynaptic potential that a large amount of neurons synchronously occur was formed after summation, its record brain activity When electric wave change, be the overall reflection of the bioelectrical activity in cerebral cortex or scalp surface of cranial nerve cell, brain wave is moved The mood conversion of patient can intuitively be shown.Due to emotional instability and the bad patient for exchanging, it is impossible to by linking up and inquiring To carry out understanding the definite idea and the state of an illness of patient, difficulty is increased to treatment, be unfavorable for the rehabilitation of patient, therefore it is proposed that A kind of inpatient's condition monitoring system based on brain wave.
The content of the invention
It is an object of the invention to provide a kind of inpatient's monitoring system based on brain machine artificial intelligence technology, to solve The problem proposed in above-mentioned background technology.
To achieve the above object, the present invention provides following technical scheme:A kind of being in hospital based on brain machine artificial intelligence technology Patient monitoring system, including processor, the input of the processor electrically connect the output of brain wave frequency data processing module End, the input of brain wave frequency data processing module electrically connects the output end of brain wave frequency data acquisition module, brain wave The input of frequency data acquisition module electrically connects the output end of brain wave chip.
The input of the output end electrical connection comparing module one of the processor, the output end of comparing module one The input of electrical connection comparing module two, the input of the output end electrical connection comparing module three of comparing module two End, the input of the output end electrical connection comparing module four of comparing module three, and comparing module one, data The output end of comparing module two, comparing module three and data comparing module four electrically connects the input of feedback module, instead The output end for presenting module electrically connects the input of processor.
The output end of the processor is electrically connected control node unit one, control node unit two, control node list Unit three and the input of control node unit four, the output end of control node unit one electrically connect the input of music player, The output end of control node unit three electrically connects the input of alarm module, the output end of control node unit two respectively with music Player and alarm module input electrical connection, and control node unit four output end electrically connect feedback module input End.
Preferably, the control node unit two includes control node one and control node two, control node one and control Input of the output end of node two respectively with music player and alarm module is electrically connected.
Preferably, the processor inline power adjustment module and data memory module.
Preferably, the alarm module includes warning message transport module.
Compared with prior art, the beneficial effects of the invention are as follows:
1st, the present invention replaces the mode of personnel's nurse and monitoring camera-shooting by way of brain wave detects monitoring, can be intuitively and accurate The emotional change for detecting patient really simultaneously makes corresponding measure to it.
2nd, the present invention passes through brain wave chip, brain wave frequency data acquisition module and brain wave frequency data processing module Coordinate, reach detection patient's brain wave and the effect that is acquired and process, can precisely with complete collection data.
3rd, the present invention passes through comparing module one, comparing module two, comparing module three and comparing again Module four coordinates, and reaches the effect of brain wave data specially which kind of brain wave for comparing out collection, and analysis is accurate.
4th, the present invention passes through control node unit one, control node unit two, control node unit three and control node list Unit four coordinates, and reaches the effect that the different brain waves of correspondence make different disposal.
5th, the present invention reaches the effect of alarm by alarm module, can remind caregiver and notify medical personnel.
6th, the present invention reaches the effect for playing music by music player, can alleviate mood and side that patient constrains Patient is helped to sleep.
Brief description of the drawings
Fig. 1 is present system principle schematic.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
As shown in figure 1, a kind of inpatient's monitoring system based on brain machine artificial intelligence technology, including processor, treatment Device inline power adjustment module and data memory module, the input electrical connection brain wave frequency data processing module of processor Output end, the input of brain wave frequency data processing module electrically connects the output end of brain wave frequency data acquisition module, brain The input of wave frequency data acquisition module electrically connects the output end of brain wave chip.
As shown in figure 1, the input of the output end electrical connection comparing module one of processor, comparing module one The input of output end electrical connection comparing module two, the output end electrical connection comparing module three of comparing module two Input, the input of the output end electrical connection comparing module four of comparing module three, and comparing module First, the output end of comparing module two, comparing module three and data comparing module four electrically connects the defeated of feedback module Enter end, the output end of feedback module electrically connects the input of processor.
As shown in figure 1, the output end of processor is electrically connected control node unit one, control node unit two, control The input of node unit three and control node unit four, the output end of control node unit one electrically connects the defeated of music player Enter end, the output end of control node unit three electrically connects the input of alarm module, the output end difference of control node unit two Input with music player and alarm module is electrically connected, and the output end of control node unit four electrically connects feedback module Input, control node unit two includes control node one and control node two, control node one and control node two it is defeated Go out input of the end respectively with music player and alarm module to electrically connect, alarm module includes warning message transport module.
Brain wave is divided into four kinds of δ ripples, θ ripples, α ripples and β ripples, and the frequency range of δ ripples, θ ripples, α ripples and β ripples is respectively 1-3Hz, 4-7Hz, 8-13Hz and 14-30Hz, δ wave tables show extremely tired, and hope of θ wave tables illustrating baffles or depressed, and α wave tables show Normally, β wave tables show excited or excited.
The present invention before the use, by frequency range 1-3Hz, 4-7Hz of δ ripples, θ ripples, α ripples and β ripples, 8-13Hz and 14-30Hz is respectively as comparing module one, comparing module two, comparing module four and data comparing module three Original comparison data.
When the present invention is used, brain wave chip is attached to the temple of patient first, then adopt by brain wave frequency data Collection module and brain wave frequency data processing module are acquired the brain wave data of patient and process, and are then transferred to treatment Device, then by comparing module one, comparing module two, comparing module three and data comparing module four with being compared It is right, the brain wave row signal of determination is then fed back into processor, and by control node unit one, control node unit two, Control node unit three and control node unit four make corresponding treatment.
The present invention is when comparing, and the brain wave data after treatment is carried out by comparing module one first right Than, if comparison result is correct, control music player to play music of releiving by control node unit one, it is comfortable to provide Environment comorbidity people sleeps, if comparison result is incorrect, then is compared by comparing module two, if comparing mould The comparison result of block two is correct, then control music player to play music of releiving respectively by control node one and control node two With control alarm module alert notice medical personnel, if the comparison result of comparing module two is incorrect, then by data Comparing module three is compared, if the comparison result of comparing module three is correct, report is controlled by control node unit three Alert module alarm, notifies medical personnel, if the comparison result of comparing module three is incorrect, by comparing module four Compare, processor all is fed back to by result by feedback module to mistake, then be acquired and compare, and circulation industrial Make.
The correlation module being related in the system is hardware system module or is prior art Computer Software journey The functional module that sequence or agreement are combined with hardware, computer software programs or agreement involved by the functional module itself The technology being well known to those skilled in the art, it is not the improvements of the system;The system is improved between each module Interaction relationship or annexation, the as overall construction to system is improved, to be solved with solving the system Relevant art problem.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with Understanding can carry out various changes, modification, replacement to these embodiments without departing from the principles and spirit of the present invention And modification, the scope of the present invention be defined by the appended.

Claims (5)

1. a kind of inpatient's monitoring system based on brain machine artificial intelligence technology, including processor, it is characterised in that:The place The input for managing device electrically connects the output end of brain wave frequency data processing module, the input of brain wave frequency data processing module The output end of end electrical connection brain wave frequency data acquisition module, the input electrical connection brain of brain wave frequency data acquisition module The output end of electric wave chip;
The input of the output end electrical connection comparing module one of the processor, the output end of comparing module one is electrically connected The input of comparing module two is connect, the output end of comparing module two electrically connects the input of comparing module three, The input of the output end electrical connection comparing module four of comparing module three, and comparing module one, data ratio Output end to module two, comparing module three and data comparing module four electrically connects the input of feedback module, feedback The output end of module electrically connects the input of processor;
The control node unit two includes control node one and control node two, the output of control node one and control node two The input respectively with music player and alarm module is held to electrically connect.
2. a kind of inpatient's monitoring system based on brain machine artificial intelligence technology according to claim 1, its feature exists In:The processor inline power adjustment module and the output end of processor described in data memory module are electrically connected control section The input of dot element one, control node unit two, control node unit three and control node unit four, control node unit one Output end electrically connect the input of music player, the output end of control node unit three electrically connects the input of alarm module End, the input of the output end of control node unit two respectively with music player and alarm module electrically connect, and controls to save The output end of dot element four electrically connects the input of feedback module.
3. a kind of inpatient's monitoring system based on brain machine artificial intelligence technology according to claim 1, its feature exists In:The alarm module includes warning message transport module.
4. a kind of inpatient's monitoring method based on brain machine artificial intelligence technology, it is characterised in that:It is described first by brain wave Chip is attached to the temple of patient, then is carried out by brain wave frequency data acquisition module and brain wave frequency data processing module Gather the brain wave data of patient and process, be then transferred to processor, then by comparing module one, comparing module 2nd, then the brain wave row signal of determination is fed back to place by comparing module three and data comparing module four with comparing Reason device, and phase is made by control node unit one, control node unit two, control node unit three and control node unit four The treatment answered.
5. a kind of inpatient's monitoring method based on brain machine artificial intelligence technology as claimed in claim 4, it is characterised in that: When comparing, the brain wave data after treatment is contrasted by comparing module one first, comparison result is correct, Then control music player to play music of releiving by control node unit one, slept with providing comfortable environment comorbidity people;Compare Result is incorrect, then is compared by comparing module two, if the comparison result of comparing module two is correct, Music player is controlled to play releive music and control alarm module alert notice respectively by control node one and control node two Medical personnel, if the comparison result of comparing module two is incorrect, then is compared by comparing module three, if The comparison result of comparing module three is correct, then control alarm module to alarm by control node unit three, notifies medical personnel, If the comparison result of comparing module three is incorrect, compared by comparing module four, mistake is all passed through Result is fed back to processor by feedback module, then is acquired and is compared, and circulates work.
CN201611266243.5A 2016-12-31 2016-12-31 A kind of inpatient's monitoring system based on brain machine artificial intelligence technology Pending CN106725457A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109256154A (en) * 2018-10-31 2019-01-22 蔡凯鹏 A kind of multimedia brain wave player
CN110575332A (en) * 2019-08-29 2019-12-17 江苏大学 Nursing bed and method based on near-infrared active stereoscopic vision and brain wave technology
CN112151168A (en) * 2020-09-08 2020-12-29 中国医科大学附属第一医院 Auxiliary nursing system based on brain wave acquisition and artificial intelligence technology

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WO2012137213A1 (en) * 2011-04-05 2012-10-11 Neurokeeper Technologies Ltd. System and method for detecting neurological deterioration
WO2013040642A1 (en) * 2011-09-20 2013-03-28 Tarwarri No. 15 Pty. Ltd. Activity training apparatus and method
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CN104757954A (en) * 2015-05-05 2015-07-08 奇瑞汽车股份有限公司 Health monitoring and comfort adjusting system and method for vehicle
WO2016130843A1 (en) * 2015-02-11 2016-08-18 Biosensor, Inc. Methods and systems for therapeutic neuromodulation

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Publication number Priority date Publication date Assignee Title
WO2012099595A1 (en) * 2011-01-21 2012-07-26 Morrow Lana Electrode for attention training techniques
WO2012137213A1 (en) * 2011-04-05 2012-10-11 Neurokeeper Technologies Ltd. System and method for detecting neurological deterioration
WO2013040642A1 (en) * 2011-09-20 2013-03-28 Tarwarri No. 15 Pty. Ltd. Activity training apparatus and method
US20140051945A1 (en) * 2012-03-12 2014-02-20 Terra Cotta Star Llc Expanded frequency electroencephalography/electrocardiography light apparatus and method of use
WO2016130843A1 (en) * 2015-02-11 2016-08-18 Biosensor, Inc. Methods and systems for therapeutic neuromodulation
CN104757954A (en) * 2015-05-05 2015-07-08 奇瑞汽车股份有限公司 Health monitoring and comfort adjusting system and method for vehicle

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109256154A (en) * 2018-10-31 2019-01-22 蔡凯鹏 A kind of multimedia brain wave player
CN110575332A (en) * 2019-08-29 2019-12-17 江苏大学 Nursing bed and method based on near-infrared active stereoscopic vision and brain wave technology
CN112151168A (en) * 2020-09-08 2020-12-29 中国医科大学附属第一医院 Auxiliary nursing system based on brain wave acquisition and artificial intelligence technology
CN112151168B (en) * 2020-09-08 2023-07-28 中国医科大学附属第一医院 Auxiliary nursing system based on brain wave acquisition and artificial intelligence technology

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