CN105640542A - Cardiogram monitor special for pediatric nursing - Google Patents
Cardiogram monitor special for pediatric nursing Download PDFInfo
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- CN105640542A CN105640542A CN201610096420.3A CN201610096420A CN105640542A CN 105640542 A CN105640542 A CN 105640542A CN 201610096420 A CN201610096420 A CN 201610096420A CN 105640542 A CN105640542 A CN 105640542A
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- 230000000474 nursing effect Effects 0.000 title abstract description 3
- 238000004458 analytical method Methods 0.000 claims abstract description 39
- 239000004744 fabric Substances 0.000 claims abstract description 31
- 210000004556 brain Anatomy 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 18
- 238000004171 remote diagnosis Methods 0.000 claims abstract description 10
- 230000036760 body temperature Effects 0.000 claims abstract description 9
- 238000003745 diagnosis Methods 0.000 claims description 38
- 230000036651 mood Effects 0.000 claims description 20
- 230000008859 change Effects 0.000 claims description 18
- 238000004891 communication Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 15
- 210000003491 skin Anatomy 0.000 claims description 13
- 206010038743 Restlessness Diseases 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000036772 blood pressure Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004088 simulation Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 6
- 230000002996 emotional effect Effects 0.000 claims description 6
- 210000002615 epidermis Anatomy 0.000 claims description 6
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- 238000005070 sampling Methods 0.000 claims description 6
- 238000001228 spectrum Methods 0.000 claims description 6
- 230000009466 transformation Effects 0.000 claims description 6
- 230000003321 amplification Effects 0.000 claims description 3
- 230000000747 cardiac effect Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
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- 238000001914 filtration Methods 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 239000000835 fiber Substances 0.000 abstract 2
- 230000008451 emotion Effects 0.000 abstract 1
- 239000002003 electrode paste Substances 0.000 description 12
- 239000000853 adhesive Substances 0.000 description 4
- 230000001070 adhesive effect Effects 0.000 description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
- 239000008280 blood Substances 0.000 description 3
- 210000004369 blood Anatomy 0.000 description 3
- 210000003109 clavicle Anatomy 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 210000002445 nipple Anatomy 0.000 description 3
- 229910052760 oxygen Inorganic materials 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 3
- 208000025865 Ulcer Diseases 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 230000000172 allergic effect Effects 0.000 description 2
- 208000010668 atopic eczema Diseases 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000029058 respiratory gaseous exchange Effects 0.000 description 2
- 231100000397 ulcer Toxicity 0.000 description 2
- 238000009530 blood pressure measurement Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000002496 oximetry Methods 0.000 description 1
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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]
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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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
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- A—HUMAN NECESSITIES
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- A61B5/0008—Temperature signals
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- 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
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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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
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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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
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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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
-
- 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]
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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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/04—Babies, e.g. for SIDS detection
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/06—Children, e.g. for attention deficit diagnosis
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Abstract
The invention discloses a cardiogram monitor special for pediatric nursing. One side of the monitor is provided with a power line. A display device is arranged on the front face of the monitor. A switch is arranged at the upper right corner of the display device. The other side of the monitor is provided with a data line. The data line and a binding cloth are connected together. One end of the binding cloth is provided with a large fiber face hook and loop fastener. The back face of the other end of the binding cloth is provided with a bristle face hook and loop fastener. A body temperature sensing module is arranged on the fiber face hook and loop fastener. The monitor is provided with an electronic medical information end, an emotion sensing module, a brain wave sensing module, a remote diagnosis and treatment unit and a radio wave intelligent analysis module. An electrode will not make direct contact with the skin of a patient and is fastened to the body of the patient through an elastic face and the hook and loop fasteners. A patch is not likely to be disengaged, the vital sign of a child can be monitored in real time, cardiograms can be accurately analyzed, remote monitoring can be achieved through the remote diagnosis and treatment unit, the working efficiency is high, and the intelligent degree is high.
Description
Technical field
The invention belongs to technical field of medical equipment, particularly relate to a kind of paediatrics and nurse special electrocardio patient monitor.
Background technology
At present, can the simultaneously physiological parameter such as the dynamic electrocardiogram figure of monitor patients, breathing, body temperature, blood pressure, blood oxygen saturation, pulse frequency. Can store without heart rate value when wound blood pressure data and Measure blood pressure, body temperature, respiration rate, blood oxygen saturation, and can list check; The nothing wound blood pressure measurement module of high precision, precision height, repeatability are good; Unique blood oxygen saturation measuring apparatus, ensures that oximetry value and pulse frequency are measured more accurate; Separately there is abundant warning upper and lower limit that function is set. Electrocardio needs, when guarding, the corresponding position that electrode patch is pasted onto health, but care in pediatric nursing is guarded for the electrocardio of sufferer children, adhesive electrode paster can stimulate the skin of children's delicacy, allergic even ulcer usually occurs in clinical, in addition owing to autorhymicity is poor after sufferer children adhesive electrode sheet, movable frequent, the situation that electrode patch is scratched and come off also often occurs, cause monitoring Wave anomaly, or cause mistaken diagnosis, and medical facilities are had resentment by children, can not well coordinate medical treatment monitoring.
Summary of the invention
The present invention solves in known technology the skin that the adhesive electrode paster existed can stimulate children's delicacy, allergic even ulcer usually occurs in clinical, in addition owing to autorhymicity is poor after sufferer children adhesive electrode sheet, movable frequent, the situation that electrode patch is scratched and come off also often occurs, cause monitoring Wave anomaly, or cause mistaken diagnosis, and medical facilities are had resentment by children, can not well coordinate medical treatment monitoring problem and provide a kind of structure paediatrics simple, easy to install, that increase work efficiency to nurse special electrocardio patient monitor.
The present invention is the technical scheme that the technical problem existed in solution known technology is taked:
A kind of paediatrics is nursed special electrocardio patient monitor and is comprised: supply lead, patient monitor, display unit, switch, data line, fibrous face VELCRO, binding cloth, seta face VELCRO;
The side of patient monitor is provided with supply lead, the front of patient monitor is provided with display unit, the upper right corner of display unit is provided with switch, another side of patient monitor is provided with data line, data line links together with binding cloth, one end of binding cloth is provided with the fibrous face VELCRO of big block, and the back side of the other end of binding cloth is provided with seta face VELCRO;
Described fibrous face VELCRO is provided with body temperature sensing module;
Described patient monitor is provided with electron medical treatment information end, mood sensing module, brain wave sensing module, remote diagnosis unit, electrocardio ripple intelligent analysis module;
Described body temperature sensing module is built-in with noncontact formula infrared temperature sensor, this noncontact formula infrared temperature sensor amplifies circuit and temperature compensation and amplification circuit respectively and is connected with temperature-difference thermoelectric heap, temperature-difference thermoelectric heap amplifies circuit and temperature compensation and amplifies circuit and is connected and is connected respectively to A/D converter circuit, described A/D converter circuit is a multichannel A/D converter circuit, A/D converter circuit is connected with governor circuit, and governor circuit is connected with display circuit and warning circuit; Described noncontact formula infrared temperature sensor adopts thermopile IR temperature sensor to realize the non-contact detecting of thermistor signal of the voltage signal that temperature signals and ambient temperature signal and temperature difference heat pile is faint and electroregulator;
Described brain wave sensing module comprises multiple brain wave sensor and brain wave processing unit;
Described remote diagnosis unit comprises:
One interrogation end, it is connected with electron medical treatment information end;
At least one expert's end, it is connected with described interrogation end is long-range by internet;
One data intercept repeater assembly, and it is connected with described electron medical treatment information end, and described data intercept after repeater assembly can't harm the data information intercepted in electron medical treatment information end and carry out harmless or lossy compression method;
One network security transmission assembly, it intercepts repeater assembly with described data and is connected, and the data information being received from data intercepting repeater assembly is decrypted and is encrypted;
One data relay server component, it is connected with described network security transmission assembly, and described data relay server component receives the data information that network security transmission assembly sends, and this data information is sent to corresponding expert's end;
One remote medical consultation with specialists management and control server, it is connected with interrogation end and at least one expert's end by internet respectively, the user of consultation of doctors end and expert's end is managed;
Described electrocardio ripple intelligent analysis module comprise intellectual analysis unit and be connected with described intellectual analysis unit electrocardiosignal noise analysis unit, T ripple alternately scatter diagram method ECG Signal Analysis unit;
Described intellectual analysis unit comprises remote server, carry with by sufferer diagnosis request device and the upper monitoring machine used by electrocardiogram(ECG worker.
Further, described binding cloth is provided with two layers, is respectively elasticity face and villous surface, is empty in the middle of two faces.
Further, described mood sensing module measures tension value T=k1 �� E1 (HRV)+k �� E (P)+k �� E (R) of intense strain, wherein,
k1+k2+k3=1;
E2(P)=(P (t)-P (t-1))/P0, 0 < E2 (P) < 1;
E3(R)=(A R (t))/A, 0 < E3(R) < 1;
HRV, P and R represent heart rate change value, pressure value and epidermis conduction resistance respectively, k1, k2, k3For weighting coefficient, embody changes in heart rate, blood pressure and epidermis electroconductibility respectively to the contribution of mood tensity metric, E1(HRV) it is the mood tensity calculated according to changes in heart rate, E2(P) it is the mood tensity calculated according to blood pressure, E3(R) being the mood tensity gone out according to skin conductance change calculations, t is current time, and t-1 is the previous moment of current time, and t-2 is front two moment of current time,For the heart rate change value sum of t-2 moment, t-1 moment and current time, the heart rate change value that HRV (t-2) is the t-2 moment, the heart rate change value that HRV (t-1) is the t-1 moment, the heart rate change value that HRV (t) is current time, H0 is the heart rate value under the normal emotional state of tested object, the pressure value that P (t) is current time, the pressure value that P (t-1) is the t-1 moment, P0 is the pressure value of tested object under normal emotional state, A is the skin resistance reference value that tested object is measured in advance, and R (t) is current time skin resistance.
Further, described remote server comprises the storage unit of the multiple detailed diagnostics scheme that storage inside has broad variety electrocardiogram(ECG test signal corresponding, the request diagnosis electrocardiogram(ECG test signal that diagnosis request device is sent with stored broad variety electrocardiogram(ECG test signal in storage unit and be analyzed and make the diagnosis scheme matching module not finding Corresponding matching diagnosis scheme or matching the matching result of corresponding diagnosis scheme, the matching result of Corresponding matching diagnosis scheme that do not find exported by diagnosis scheme matching module is synchronously sent to upper monitoring machine and the matching result matching corresponding diagnosis scheme is synchronously sent to the treater that device is asked in diagnosis and the parameter set unit connected with treater, described parameter set unit, storage unit and diagnosis scheme matching module all connect with treater, carry out two-way communication with communication between described treater and diagnosis request device, and carry out two-way communication with wire communication mode or communication between treater and upper monitoring machine.
Further, described T ripple replaces scatter diagram method ECG Signal Analysis unit and one group of sampling point of continuous ST-T cardiac cycle N number of in electrocardiosignal is carried out FFT fast Fourier transform analysis, and the calculation formula of its power spectrum is as follows:
Wherein, l is integer, and 0��l��127, N=128, m=7, biIt it is the value of i-th sampling point;
Noise in 0.46��0.49 cycle of setting/heart bat is considered as ground unrest, and its average frequency value Sn represents; The frequency values S of 0.5 cycle/heart bat place0.5Representing, the performance number that T ripple replaces is denoted as STWA, STWACalculation formula as follows: STWA=S0.5-Sn;
Work as STWA< when 0, illustrate that the frequency values of 0.5 cycle/heart bat place is less than ground unrest frequency values, S0.5Covered by ground unrest completely, then T ripple alternately range value VTWA=0, judge that T ripple does not alternately exist; Work as STWA> 0, T ripple alternately range value be
Judge that T ripple alternately exists.
Further, the simulation eeg signal collected is carried out the simulation eeg signal comprising �� ripple, �� ripple, �� ripple and �� ripple amplified and filtering process obtains within the scope of 0.5Hz-100Hz by described brain wave sensing module; Undertaken carrying out, after analog to digital conversion becomes digital brain electrical ripple signal, the Fourier spectrum that fourier transformation obtains �� ripple, �� ripple, �� ripple and �� ripple respectively by simulation eeg signal, by signal from space field transformation to frequency field; The digital brain electrical ripple signal comprising �� ripple, �� ripple, �� ripple and �� ripple is carried out the window process of triumphant pool, obtains every index parameter of eeg signal through amplitude analysis, time domain analysis and frequency domain analysis.
Patient is wrapped up by medical matters personnel by binding cloth, is placed on the position in the middle of binding cloth respectively by red electrode paste, yellow electrode paste, black electrode paste, and redness electrode is positioned over right clavicle, and next refers to place; Yellow electrode is positioned over two nipple midpoint; Black electrode is positioned over left 5th rib and left armpit front point of intersection. Due to electrode, to be arranged on binding cloth inner, would not directly contact patient skin, bundlees cloth simultaneously and is fastened on it patient by elasticity face and VELCRO, and paster also would not come off down easily. Electrocardio patient monitor is shaped good, it is convenient to medical personnel and accurately determines check result, by electron medical treatment information end, mood sensing module, brain wave sensing module can Real-Time Monitoring children's vital sign, electrocardio ripple is accurately analyzed by electrocardio ripple intelligent analysis module, and realize remote monitoring by remote diagnosis unit, working efficiency height, intelligence degree height.
Accompanying drawing explanation
Fig. 1 is the structural representation that the paediatrics that the embodiment of the present invention provides nurses special electrocardio patient monitor;
Fig. 2 is the structural representation of the binding cloth that the embodiment of the present invention provides;
In figure: 1, supply lead; 2, patient monitor; 3, display unit; 4, switch; 5, data line; 6, fibrous face VELCRO; 7, cloth is bundled; 7-1, elasticity face; 7-2, villous surface; 8, seta face VELCRO.
Embodiment
For summary of the invention, the Characteristic of the present invention can be understood further, hereby enumerate following examples, and coordinate accompanying drawing to be described in detail as follows:
Refer to shown in Fig. 1, Fig. 2: this paediatrics is nursed special electrocardio patient monitor and comprised: supply lead 1, patient monitor 2, display unit 3, switch 4, data line 5, fibrous face VELCRO 6, binding cloth 7, seta face VELCRO 8; The side of patient monitor 2 is provided with supply lead 1, the front of patient monitor 2 is provided with display unit 3, the upper right corner of display unit 3 is provided with switch 4, another side of patient monitor 2 is provided with data line 5, data line 5 links together with binding cloth 7, one end of binding cloth 7 is provided with the fibrous face VELCRO 6 of big block, and the back side of the other end of binding cloth 7 is provided with seta face VELCRO 8.
Described binding cloth 7 is provided with two layers, is respectively elasticity face 7-1 and villous surface 7-2, is empty in the middle of two faces.
Described data line 5 end is divided into three wiring ends, is respectively: red electrode paste, yellow electrode paste, black electrode paste.
The end of described supply lead 1 is provided with plug.
Described fibrous face VELCRO is provided with body temperature sensing module;
Described patient monitor is provided with electron medical treatment information end, mood sensing module, brain wave sensing module, remote diagnosis unit, electrocardio ripple intelligent analysis module;
Described body temperature sensing module is built-in with noncontact formula infrared temperature sensor, this noncontact formula infrared temperature sensor amplifies circuit and temperature compensation and amplification circuit respectively and is connected with temperature-difference thermoelectric heap, temperature-difference thermoelectric heap amplifies circuit and temperature compensation and amplifies circuit and is connected and is connected respectively to A/D converter circuit, described A/D converter circuit is a multichannel A/D converter circuit, A/D converter circuit is connected with governor circuit, and governor circuit is connected with display circuit and warning circuit; Described noncontact formula infrared temperature sensor adopts thermopile IR temperature sensor to realize the non-contact detecting of thermistor signal of the voltage signal that temperature signals and ambient temperature signal and temperature difference heat pile is faint and electroregulator;
Described brain wave sensing module comprises multiple brain wave sensor and brain wave processing unit;
Described remote diagnosis unit comprises:
One interrogation end, it is connected with electron medical treatment information end;
At least one expert's end, it is connected with described interrogation end is long-range by internet;
One data intercept repeater assembly, and it is connected with described electron medical treatment information end, and described data intercept after repeater assembly can't harm the data information intercepted in electron medical treatment information end and carry out harmless or lossy compression method;
One network security transmission assembly, it intercepts repeater assembly with described data and is connected, and the data information being received from data intercepting repeater assembly is decrypted and is encrypted;
One data relay server component, it is connected with described network security transmission assembly, and described data relay server component receives the data information that network security transmission assembly sends, and this data information is sent to corresponding expert's end;
One remote medical consultation with specialists management and control server, it is connected with interrogation end and at least one expert's end by internet respectively, the user of consultation of doctors end and expert's end is managed;
Described electrocardio ripple intelligent analysis module comprise intellectual analysis unit and be connected with described intellectual analysis unit electrocardiosignal noise analysis unit, T ripple alternately scatter diagram method ECG Signal Analysis unit;
Described intellectual analysis unit comprises remote server, carry with by sufferer diagnosis request device and the upper monitoring machine used by electrocardiogram(ECG worker.
Further, described binding cloth is provided with two layers, is respectively elasticity face and villous surface, is empty in the middle of two faces.
Further, described mood sensing module measures tension value T=k1 �� E1 (HRV)+k �� E (P)+k �� E (R) of intense strain, wherein,
k1+k2+k3=1;
E2(P)=(P (t)-P (t-1))/P0, 0 < E2 (P) < 1;
E3(R)=(A R (t))/A, 0 < E3(R) < 1;
HRV, P and R represent heart rate change value, pressure value and epidermis conduction resistance respectively, k1, k2, k3For weighting coefficient, embody changes in heart rate, blood pressure and epidermis electroconductibility respectively to the contribution of mood tensity metric, E1(HRV) it is the mood tensity calculated according to changes in heart rate, E2(P) it is the mood tensity calculated according to blood pressure, E3(R) being the mood tensity gone out according to skin conductance change calculations, t is current time, and t-1 is the previous moment of current time, and t-2 is front two moment of current time,For the heart rate change value sum of t-2 moment, t-1 moment and current time, the heart rate change value that HRV (t-2) is the t-2 moment, the heart rate change value that HRV (t-1) is the t-1 moment, the heart rate change value that HRV (t) is current time, H0 is the heart rate value under the normal emotional state of tested object, the pressure value that P (t) is current time, the pressure value that P (t-1) is the t-1 moment, P0 is the pressure value of tested object under normal emotional state, A is the skin resistance reference value that tested object is measured in advance, and R (t) is current time skin resistance.
Further, described remote server comprises the storage unit of the multiple detailed diagnostics scheme that storage inside has broad variety electrocardiogram(ECG test signal corresponding, the request diagnosis electrocardiogram(ECG test signal that diagnosis request device is sent with stored broad variety electrocardiogram(ECG test signal in storage unit and be analyzed and make the diagnosis scheme matching module not finding Corresponding matching diagnosis scheme or matching the matching result of corresponding diagnosis scheme, the matching result of Corresponding matching diagnosis scheme that do not find exported by diagnosis scheme matching module is synchronously sent to upper monitoring machine and the matching result matching corresponding diagnosis scheme is synchronously sent to the treater that device is asked in diagnosis and the parameter set unit connected with treater, described parameter set unit, storage unit and diagnosis scheme matching module all connect with treater, carry out two-way communication with communication between described treater and diagnosis request device, and carry out two-way communication with wire communication mode or communication between treater and upper monitoring machine.
Further, described T ripple replaces scatter diagram method ECG Signal Analysis unit and one group of sampling point of continuous ST-T cardiac cycle N number of in electrocardiosignal is carried out FFT fast Fourier transform analysis, and the calculation formula of its power spectrum is as follows:
Wherein, l is integer, and 0��l��127, N=128, m=7, biIt it is the value of i-th sampling point;
Noise in 0.46��0.49 cycle of setting/heart bat is considered as ground unrest, and its average frequency value Sn represents; The frequency values S of 0.5 cycle/heart bat place0.5Representing, the performance number that T ripple replaces is denoted as STWA, STWACalculation formula as follows: STWA=S0.5-Sn;
Work as STWA< when 0, illustrate that the frequency values of 0.5 cycle/heart bat place is less than ground unrest frequency values, S0.5Covered by ground unrest completely, then T ripple alternately range value VTWA=0, judge that T ripple does not alternately exist; Work as STWA> 0, T ripple alternately range value be
Judge that T ripple alternately exists.
Further, the simulation eeg signal collected is carried out the simulation eeg signal comprising �� ripple, �� ripple, �� ripple and �� ripple amplified and filtering process obtains within the scope of 0.5Hz-100Hz by described brain wave sensing module; Undertaken carrying out, after analog to digital conversion becomes digital brain electrical ripple signal, the Fourier spectrum that fourier transformation obtains �� ripple, �� ripple, �� ripple and �� ripple respectively by simulation eeg signal, by signal from space field transformation to frequency field; The digital brain electrical ripple signal comprising �� ripple, �� ripple, �� ripple and �� ripple is carried out the window process of triumphant pool, obtains every index parameter of eeg signal through amplitude analysis, time domain analysis and frequency domain analysis.
Patient is wrapped up by medical matters personnel by binding cloth 7, is placed on the position in the middle of binding cloth respectively by red electrode paste, yellow electrode paste, black electrode paste, and redness electrode is positioned over right clavicle, and next refers to place; Yellow electrode is positioned over two nipple midpoint; Black electrode is positioned over left 5th rib and left armpit front point of intersection. Switch on power, open switch 4, then adjusting display device 3 imaging.
Patient is wrapped up by medical matters personnel by binding cloth, is placed on the position in the middle of binding cloth respectively by red electrode paste, yellow electrode paste, black electrode paste, and redness electrode is positioned over right clavicle, and next refers to place; Yellow electrode is positioned over two nipple midpoint; Black electrode is positioned over left 5th rib and left armpit front point of intersection. Due to electrode, to be arranged on binding cloth inner, would not directly contact patient skin, bundlees cloth simultaneously and is fastened on it patient by elasticity face and VELCRO, and paster also would not come off down easily. Electrocardio patient monitor is shaped good, it is convenient to medical personnel and accurately determines check result, by electron medical treatment information end, mood sensing module, brain wave sensing module can Real-Time Monitoring children's vital sign, electrocardio ripple is accurately analyzed by electrocardio ripple intelligent analysis module, and realize remote monitoring by remote diagnosis unit, working efficiency height, intelligence degree height.
The above is only the better embodiment to the present invention, not the present invention is done any restriction in form, every technical spirit according to the present invention is to any simple modification made for any of the above embodiments, and equivalent variations and modification, all belong in the scope of technical solution of the present invention.
Claims (6)
1. a paediatrics nurses special electrocardio patient monitor, it is characterised in that, this paediatrics is nursed special electrocardio patient monitor and is comprised: supply lead, patient monitor, display unit, switch, data line, fibrous face VELCRO, binding cloth, seta face VELCRO;
The side of patient monitor is provided with supply lead, the front of patient monitor is provided with display unit, the upper right corner of display unit is provided with switch, another side of patient monitor is provided with data line, data line links together with binding cloth, one end of binding cloth is provided with the fibrous face VELCRO of big block, and the back side of the other end of binding cloth is provided with seta face VELCRO;
Described fibrous face VELCRO is provided with body temperature sensing module;
Described patient monitor is provided with electron medical treatment information end, mood sensing module, brain wave sensing module, remote diagnosis unit, electrocardio ripple intelligent analysis module;
Described body temperature sensing module is built-in with noncontact formula infrared temperature sensor, this noncontact formula infrared temperature sensor amplifies circuit and temperature compensation and amplification circuit respectively and is connected with temperature-difference thermoelectric heap, temperature-difference thermoelectric heap amplifies circuit and temperature compensation and amplifies circuit and is connected and is connected respectively to A/D converter circuit, described A/D converter circuit is a multichannel A/D converter circuit, A/D converter circuit is connected with governor circuit, and governor circuit is connected with display circuit and warning circuit; Described noncontact formula infrared temperature sensor adopts thermopile IR temperature sensor to realize the non-contact detecting of thermistor signal of the voltage signal that temperature signals and ambient temperature signal and temperature difference heat pile is faint and electroregulator;
Described brain wave sensing module comprises multiple brain wave sensor and brain wave processing unit;
Described remote diagnosis unit comprises:
One interrogation end, it is connected with electron medical treatment information end;
At least one expert's end, it is connected with described interrogation end is long-range by internet;
One data intercept repeater assembly, and it is connected with described electron medical treatment information end, and described data intercept after repeater assembly can't harm the data information intercepted in electron medical treatment information end and carry out harmless or lossy compression method;
One network security transmission assembly, it intercepts repeater assembly with described data and is connected, and the data information being received from data intercepting repeater assembly is decrypted and is encrypted;
One data relay server component, it is connected with described network security transmission assembly, and described data relay server component receives the data information that network security transmission assembly sends, and this data information is sent to corresponding expert's end;
One remote medical consultation with specialists management and control server, it is connected with interrogation end and at least one expert's end by internet respectively, the user of consultation of doctors end and expert's end is managed;
Described electrocardio ripple intelligent analysis module comprise intellectual analysis unit and be connected with described intellectual analysis unit electrocardiosignal noise analysis unit, T ripple alternately scatter diagram method ECG Signal Analysis unit;
Described intellectual analysis unit comprises remote server, carry with by sufferer diagnosis request device and the upper monitoring machine used by electrocardiogram(ECG worker.
2. paediatrics as claimed in claim 1 nurses special electrocardio patient monitor, it is characterised in that, described binding cloth is provided with two layers, is respectively elasticity face and villous surface, is empty in the middle of two faces.
3. paediatrics as claimed in claim 1 nurses special electrocardio patient monitor, it is characterised in that, described mood sensing module measures tension value T=k1 �� E1 (HRV)+k �� E (P)+k �� E (R) of intense strain, wherein,
k1+k2+k3=1;
E2(P)=(P (t)-P (t-1))/P0, 0 < E2 (P) < 1;
E3(R)=(A R (t))/A, 0 < E3(R) < 1;
HRV, P and R represent heart rate change value, pressure value and epidermis conduction resistance respectively, k1, k2, k3For weighting coefficient, embody changes in heart rate, blood pressure and epidermis electroconductibility respectively to the contribution of mood tensity metric, E1(HRV) it is the mood tensity calculated according to changes in heart rate, E2(P) it is the mood tensity calculated according to blood pressure, E3(R) being the mood tensity gone out according to skin conductance change calculations, t is current time, and t-1 is the previous moment of current time, and t-2 is front two moment of current time,For the t-2 moment, the heart rate change value sum of t-1 moment and current time, the heart rate change value that HRV (t-2) is the t-2 moment, the heart rate change value that HRV (t-1) is the t-1 moment, the heart rate change value that HRV (t) is current time, H0 is the heart rate value under the normal emotional state of tested object, the pressure value that P (t) is current time, the pressure value that P (t-1) is the t-1 moment, P0 is the pressure value of tested object under normal emotional state, A is the skin resistance reference value that tested object is measured in advance, R (t) is current time skin resistance.
4. paediatrics as claimed in claim 1 nurses special electrocardio patient monitor, it is characterized in that, described remote server comprises the storage unit of the multiple detailed diagnostics scheme that storage inside has broad variety electrocardiogram(ECG test signal corresponding, the request diagnosis electrocardiogram(ECG test signal that diagnosis request device is sent with stored broad variety electrocardiogram(ECG test signal in storage unit and be analyzed and make the diagnosis scheme matching module not finding Corresponding matching diagnosis scheme or matching the matching result of corresponding diagnosis scheme, the matching result of Corresponding matching diagnosis scheme that do not find exported by diagnosis scheme matching module is synchronously sent to upper monitoring machine and the matching result matching corresponding diagnosis scheme is synchronously sent to the treater that device is asked in diagnosis and the parameter set unit connected with treater, described parameter set unit, storage unit and diagnosis scheme matching module all connect with treater, carry out two-way communication with communication between described treater and diagnosis request device, and carry out two-way communication with wire communication mode or communication between treater and upper monitoring machine.
5. paediatrics as claimed in claim 1 nurses special electrocardio patient monitor, it is characterized in that, described T ripple replaces scatter diagram method ECG Signal Analysis unit and one group of sampling point of continuous ST-T cardiac cycle N number of in electrocardiosignal is carried out FFT fast Fourier transform analysis, and the calculation formula of its power spectrum is as follows:
Wherein, l is integer, and 0��l��127, N=128, m=7, biIt it is the value of i-th sampling point;
Noise in 0.46��0.49 cycle of setting/heart bat is considered as ground unrest, and its average frequency value Sn represents; The frequency values S of 0.5 cycle/heart bat place0.5Representing, the performance number that T ripple replaces is denoted as STWA, STWACalculation formula as follows: STWA=S0.5-Sn;
Work as STWA< when 0, illustrate that the frequency values of 0.5 cycle/heart bat place is less than ground unrest frequency values, S0.5Covered by ground unrest completely, then T ripple alternately range value VTWA=0, judge that T ripple does not alternately exist; Work as STWA> 0, T ripple alternately range value be
Judge that T ripple alternately exists.
6. paediatrics as claimed in claim 1 nurses special electrocardio patient monitor, it is characterized in that, the simulation eeg signal collected is carried out the simulation eeg signal comprising �� ripple, �� ripple, �� ripple and �� ripple amplified and filtering process obtains within the scope of 0.5Hz-100Hz by described brain wave sensing module; Undertaken carrying out, after analog to digital conversion becomes digital brain electrical ripple signal, the Fourier spectrum that fourier transformation obtains �� ripple, �� ripple, �� ripple and �� ripple respectively by simulation eeg signal, by signal from space field transformation to frequency field; The digital brain electrical ripple signal comprising �� ripple, �� ripple, �� ripple and �� ripple is carried out the window process of triumphant pool, obtains every index parameter of eeg signal through amplitude analysis, time domain analysis and frequency domain analysis.
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