CN105011928A - Wearable heart disease pre-warning system by adoption of non-contact electrode - Google Patents
Wearable heart disease pre-warning system by adoption of non-contact electrode Download PDFInfo
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- CN105011928A CN105011928A CN201510242246.4A CN201510242246A CN105011928A CN 105011928 A CN105011928 A CN 105011928A CN 201510242246 A CN201510242246 A CN 201510242246A CN 105011928 A CN105011928 A CN 105011928A
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Abstract
The invention provides a wearable heart disease pre-warning system by adoption of a non-contact electrode. The wearable heart disease pre-warning system is characterized by comprising a mobile terminal, a data processing platform and an integrated potential circuit sensing module and has following advantages: the wearable heart disease pre-warning system can be easily and comfortably worn by a user body; the non-contact electrode is not required to always be in contact with the skin; by applying an algorithm of clustering analysis to an electrocardiosignal pre-warning system and by combining an intelligent algorithm with collected data in a real-time mode, a user can rapidly and visually obtain an observation result so that the capability of the broad masses of the people to detect heat diseases early can be improved; and therefore important significance is attached to early monitoring and sudden supervisory control.
Description
Technical field
The present invention relates to a kind of Wearable noncontacting electrode heart disease early warning system, belong to medical treatment & health technical field.
Background technology
Cardiovascular disease is the principal disease causing human death.In modern medicine, electrocardiogram (Electrocardiogram, ECG) more and more becomes one of Main Basis of diagnosis cardiovascular disease.Utilizing ECG etc. to be the clinical diagnostic message that provides about the curve of electrocardio-activity and graphic documentation, is the indispensable inspection diagnostic method of cardiovascular diseases.ECG machine becomes the method and clinical tool that the most generally adopt in cardiovascular disease diagnosis already.For family health care physiotherapy equipment, wireless penetration, portable be following developing direction.
Existing equipment, when for cardiac monitoring, is often confined to moving condition and contact skin time, cannot dresses for a long time.Present most popular Holter equipment, owing to not using continuously for a long time, when needing to measure, must do a large amount of early-stage preparations, and test needs human body to keep single action for a long time, can not reach good motion comfort level.
Summary of the invention
The object of this invention is to provide a kind of equipment for cardiac monitoring of energy worn for long periods.
In order to achieve the above object, technical scheme of the present invention there is provided a kind of Wearable noncontacting electrode heart disease early warning system, it is characterized in that, comprises mobile terminal, data processing platform (DPP) and integrated electromotive force circuit senses module, wherein:
Mobile terminal comprises storing template data storehouse, based on the pattern recognition platform of K-average and result feedback, wherein: storing template data storehouse, for storing electrocardiogram template data, for pattern recognition platform provides data sample; Pattern recognition platform, for carrying out Classification and Identification to the electrocardiosignal obtained by integrated electromotive force circuit senses module, identifies the classification described in electrocardiosignal; Result feedback, for the classification that feedback model Identification platform identifies, and produces corresponding alarm according to corresponding classification;
Data processing platform (DPP), after the signal for obtaining integrated electromotive force circuit senses module processes, is wirelessly transferred to mobile terminal;
Integrated electromotive force circuit senses module comprises EPIC sensor, controllable gain instrumentation amplifier circuit and sensing module electric power management circuit, wherein: sensing module electric power management circuit, for providing working power for EPIC sensor and controllable gain instrumentation amplifier circuit; EPIC sensor, for obtaining the electrocardiosignal of wearer; Controllable gain instrumentation amplifier circuit, amplifies for after the Filtering of ECG Signal that obtained by EPIC sensor, sends to data processing platform (DPP) subsequently.
Preferably, described data processing platform (DPP) comprises (the ProgrammableSystem-On-Chip for Bluetooth Low Energy of programmable system on low-power consumption bluetooth sheet, hereinafter referred to as PSoC4BLE circuit) and platform electric power management circuit, wherein: platform power management circuit, working power is provided to PSoC4BLE circuit; PSoC4BLE circuit, for amplifying after the Filtering of ECG Signal being received from described integrated electromotive force circuit senses module, carries out AD conversion to the signal after amplifying subsequently; Simultaneously also for the digital signal be converted to is sent to described mobile terminal by bluetooth.
Preferably, described platform power management circuit is made up of ferric phosphate lithium cell and voltage-regulating circuit.
Preferably, the described pattern recognition platform based on K-average adopts the algorithm for pattern recognition based on K-average dynamic clustering.
Preferably, described EPIC sensor adopts capacitive coupling technique to gather electrocardiosignal.
Preferably, described sensing module electric power management circuit is made up of chargeable lithium coin cells LIR2032, low pressure difference linear voltage regulator, reversed charge pump and reference voltage circuit.
Intelligent worn device is media device of new generation, has high added value, is used for meeting the high-tech product of special objective crowd, will effectively promotes the health and safety of the mankind.Intelligence wearable device can realize the Real-Time Monitoring of physiological health index, and the interaction of human and environment, is active in various fields.
PSoC4BLE circuit, it is on one chip integrated to senser element and circuit, signal processing circuit, low-power consumption Bluetooth circuit, interface circuit and power device circuit etc.PSoC series monolithic is integrated with configurable analog-and digital-peripheral components array PSoC block around a proprietary MCU kernel, utilize the interconnected array able to programme of chip internal, analog-and digital-piece of resource effectively on configuring chip, reaches the object of programmable system on chip.
Bluetooth is a kind of radiotechnics of support equipment short haul connection, can simplify the communication between mobile terminal device, thus makes data transmission become efficient more rapidly.It supports point-to-point/point-to-multipoint delivery, and working frequency range belongs to the 2.4GHz of global general-use.Bluetooth 4.2 standard that recent bluetooth sig is announced, has very large lifting in secret protection, data transmission and IPv6 network support etc.
Compared with prior art, Advantageous Effects of the present invention includes but not limited to:
Dress mode can be simply comfortable be dressed in it user, contactless electrode can break away from the requirement always needing to contact skin, by the algorithm application of cluster analysis in electrocardiosignal early warning system, can to user's monitoring result intuitively rapidly by real-time to intelligent algorithm and image data combining, the ability of broad masses of the people for heart disease early discovery can be improved, no matter for early monitoring and sudden supervision, all significant.
Accompanying drawing explanation
Fig. 1 is the frame diagram of a kind of Wearable noncontacting electrode heart disease early warning system that the embodiment of the present invention provides;
Fig. 2 is PSoC4BLE circuit block diagram;
Fig. 3 is the sensing module electric power management circuit block diagram in EPIC sensing module;
Fig. 4 is the flow chart of the K-average Dynamic Clustering Algorithm based on fuzzy granularity;
Fig. 5 is the workflow diagram of embodiment.
Detailed description of the invention
For making the present invention become apparent, hereby with preferred embodiment, and accompanying drawing is coordinated to be described in detail below.
As shown in Figure 1, the invention provides a kind of Wearable noncontacting electrode heart disease early warning system, comprising: mobile terminal 1, data processing platform (DPP) 2 and EPIC sensing module 3 form.Mobile terminal 1 is by template database 11, form based on the pattern recognition platform 12 of K-average and result feedback 13; Data processing platform (DPP) 2 is made up of PSoC4BLE circuit 21 and platform power management circuit 22; EPIC sensing module 3 is made up of EPIC sensor 31, controllable gain instrumentation amplifier circuit 32 and sensing module electric power management circuit 33.
Data processing platform (DPP) 2 is by the smart bluetooth circuit 2110 in PSoC4BLE and mobile terminal 1 Bluetooth communication, and EPIC sensing module 3 is connected with data processing platform (DPP) 2 by U.FL interface.
Platform power management circuit 22 and sensing module electric power management circuit 33 are respectively data processing platform (DPP) 2, EPIC sensing module 3 provides power supply.
As shown in Figure 2, be the block diagram of PSoC4BLE circuit 21.EPIC sensor 31, by U.FL interface access low pass filter 211, because the output signal of EPIC sensing module 3 can comprise a large amount of high frequency noise components, therefore needs to carry out low-pass filtering to the output signal of EPIC sensor; Low pass filter 211 exports to difference amplifier 212 and summing amplifier 216, difference amplifier 212 is poor for two-way sensor signal, take out the electrocardiosignal that differential signal can obtain needing, and summing amplifier 216 is for exporting to driven-right-leg circuit 217, so first two paths of signals is added, remove differential signal again, thus eliminate common-mode voltage.Programmable gain amplifier 213 connects the output of difference amplifier 212, differential signal is carried out to the amplification of proper ratio, is convenient to follow-up signal process.Programmable gain amplifier 213 output to gradual approaching A/D converter 215, complete digital-to-analogue conversion, export digital filter 218 to, finally input to Cortex-M3CPU2211.CPU2111 completes the electrocardiogram (ECG) data process of digital quantity, then is sent to mobile terminal 1 by smart bluetooth circuit 2110.
As shown in Figure 3, be the block diagram of sensing module electric power management circuit 33.Chargeable lithium coin cells 331 is as EPIC sensing module 3 energy storage device; + 3.7V exports to low pressure difference linear voltage regulator 332 and is converted to+2.5V, export to reversed charge pump 333 and be converted to negative voltage-3.7V, export-2.5V voltage by low pressure difference linear voltage regulator 335 again, above-mentioned bipolar voltage ± 2.5V, be supplied to EPIC sensor 31 as power supply; Export to reference voltage 334, the latter provides 0.512V to controllable gain instrumentation amplifier circuit 32.
As shown in Figure 4, be the flow chart of K-average Dynamic Clustering Algorithm based on fuzzy granularity.Fuzzy K-means algorithms basic thought first sets some classes and each sample to all kinds of degrees of membership; Then by iteration, constantly adjustment degree of membership is to convergence, and the condition of convergence is the threshold value that the variable quantity of degree of membership is less than regulation.Utilize the K-mean algorithm based on fuzzy granularity, based on ecg signal data storehouse, set up electrocardiogram template and carry out real-time early warning, utilize experts database pattern recognition to improve classify accuracy.By the algorithm application of cluster analysis in electrocardiosignal early warning system, real-time to intelligent algorithm and image data is combined, user can be given rapid monitoring result intuitively.
As shown in Figure 5, be a kind of Wearable noncontacting electrode heart disease early warning system workflow diagram provided by the invention.
Claims (6)
1. a Wearable noncontacting electrode heart disease early warning system, is characterized in that, comprises mobile terminal, data processing platform (DPP) and integrated electromotive force circuit senses module, wherein:
Mobile terminal comprises storing template data storehouse, based on the pattern recognition platform of K-average and result feedback, wherein: storing template data storehouse, for storing electrocardiogram template data, for pattern recognition platform provides data sample; Pattern recognition platform, for carrying out Classification and Identification to the electrocardiosignal obtained by integrated electromotive force circuit senses module, identifies the classification described in electrocardiosignal; Result feedback, for the classification that feedback model Identification platform identifies, and produces corresponding alarm according to corresponding classification;
Data processing platform (DPP), after the signal for obtaining integrated electromotive force circuit senses module processes, is wirelessly transferred to mobile terminal;
Integrated electromotive force circuit senses module comprises EPIC sensor, controllable gain instrumentation amplifier circuit and sensing module electric power management circuit, wherein: sensing module electric power management circuit, for providing working power for EPIC sensor and controllable gain instrumentation amplifier circuit; EPIC sensor, for obtaining the electrocardiosignal of wearer; Controllable gain instrumentation amplifier circuit, amplifies for after the Filtering of ECG Signal that obtained by EPIC sensor, sends to data processing platform (DPP) subsequently.
2. a kind of Wearable noncontacting electrode heart disease early warning system as claimed in claim 1, it is characterized in that, described data processing platform (DPP) comprises programmable system and platform electric power management circuit on low-power consumption bluetooth sheet, wherein: platform power management circuit, working power is provided to programmable system on low-power consumption bluetooth sheet; Programmable system on low-power consumption bluetooth sheet, for amplifying after the Filtering of ECG Signal being received from described integrated electromotive force circuit senses module, carries out AD conversion to the signal after amplifying subsequently; Simultaneously also for the digital signal be converted to is sent to described mobile terminal by bluetooth approach.
3. a kind of Wearable noncontacting electrode heart disease early warning system as claimed in claim 2, it is characterized in that, described platform power management circuit is made up of ferric phosphate lithium cell and voltage-regulating circuit.
4. a kind of Wearable noncontacting electrode heart disease early warning system as claimed in claim 1, is characterized in that, the described pattern recognition platform based on K-average adopts the algorithm for pattern recognition based on K-average dynamic clustering.
5. a kind of Wearable noncontacting electrode heart disease early warning system as claimed in claim 1, is characterized in that, described EPIC sensor adopts capacitive coupling technique to gather electrocardiosignal.
6. a kind of Wearable noncontacting electrode heart disease early warning system as claimed in claim 1, it is characterized in that, described sensing module electric power management circuit is made up of chargeable lithium coin cells LIR2032, low pressure difference linear voltage regulator, reversed charge pump and reference voltage circuit.
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| CN201510242246.4A CN105011928A (en) | 2015-05-13 | 2015-05-13 | Wearable heart disease pre-warning system by adoption of non-contact electrode |
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| CN201510242246.4A CN105011928A (en) | 2015-05-13 | 2015-05-13 | Wearable heart disease pre-warning system by adoption of non-contact electrode |
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Cited By (1)
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| CN106725421A (en) * | 2016-11-28 | 2017-05-31 | 吉林大学珠海学院 | ECG Signal Sampling System and its acquisition method based on PSoC processors |
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Application publication date: 20151104 |