CN103479362A - Motor function rehabilitation monitoring system based on wireless body area network - Google Patents
Motor function rehabilitation monitoring system based on wireless body area network Download PDFInfo
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Abstract
The invention discloses a motor function rehabilitation monitoring system based on a wireless body area network. The system comprises a sensor terminal node, a wireless gathering node, a wireless body area network gateway, a personal terminal, a remote medical terminal and an information feedback system, wherein the sensor terminal node comprises a medical sensor, a signal conditioning circuit, a microprocessor unit and a wireless transceiver unit which are sequentially connected, the medical sensor sends collected data into the signal conditioning circuit for preprocessing, and the wireless transceiver unit is controlled to perform wireless transmission after the data is processed by the microprocessor unit; the data collected by the sensor terminal node sequentially passes through the wireless gathering node and the wireless body area network gateway and is respectively transmitted into the personal terminal and the remote medical terminal, and the data is transmitted into the information feedback system after being processed by the remote medical terminal, and is displayed by a 3D model built through the information feedback system. The monitoring system can be used for monitoring the exercise rehabilitation situation of a patient in real time, providing reasonable guidance and advices for subsequent rehabilitation training and improving the rehabilitation training effect.
Description
Technical field
The invention belongs to the crossing domain of athletic rehabilitation, embedded system and Internet of Things, relate to a kind of implementation method of motion function rehabilitation monitoring system, particularly a kind of motion function rehabilitation monitoring system based on wireless body area network.
Background technology
Modern society is along with countries in the world enter aging in succession, can produce a large amount of apoplexy or apoplexy patient in the aging process, this type of patient is interrupted due to cerebrovascular thrombosis or the hemorrhage cerebral blood supply that causes of rupture of blood vessel in brain usually, thereby makes corresponding motion, sensation and the functions such as cognitive be lost or suffer damage.Modern neural rehabilitation medicine and clinical research result thereof show that the central nervous system has the plasticity of height, to the limbs disturbance caused because of diseases such as apoplexy, by scientific and reasonable rehabilitation training, can recover to a certain extent its impaired limb function.During rehabilitation training, the physiatrician should be estimated patient's rehabilitation training effect in real time, and adjusts in time the rehabilitation training scheme according to evaluation result, so that physiatrician's training method and conditions of patients recovery extent are consistent.Therefore, to carrying out Real-Time Monitoring and feedback in obstacle of limb movement patient's during rehabilitation training, there is important clinical practice meaning.
Traditional Rehabilitation Assessment method, be mostly before and after Rehabilitation training finishes, and the physiatrician is according to oneself clinical experience, and the utilization gauge is evaluated indexs such as patient's active/passive range of motion, Myodynamia recovery grades respectively.The method has following deficiency:
(1) do not possess real-time, because assessment can only be carried out before and after the patient trains end, therefore in during rehabilitation training, physiatrician's therapeutic scheme fails to realize being consistent in real time with the conditions of patients recovery extent;
(2) have subjectivity, the Traditional Rehabilitation evaluation methodology is measured according to doctor's clinical experience, and the evaluation and test data can not reflect the recovery extent of limbs of patient function objective and accurately;
(3) cost is higher, continues during rehabilitation training is monitored and assessed, and not only needs to expend a large amount of energy of physiatrician, has also increased patient's treatment cost simultaneously;
(4) do not possess opening, in the athletic rehabilitation evaluation procedure, monitoring instrument equipment is connected with the wire between the patient, has limited patient's motor capacity, is unfavorable for effective rehabilitation training.
Therefore, in the urgent need to developing in real time effectively, low-cost, can be objective and accurate reflect the Monitoring Rehabilitation evaluation system of limbs of patient motor function recovery degree.
Wireless body area network (WBAN, Wireless Body Area Network) be centered by human body, the communication network formed by the network element relevant to human body (comprise personal terminal, be distributed on the person, the sensor node of implant into body inside and networking equipment etc.).These intelligent sensor nodes have comprised sensing, calculating and communication module, and self-organizing synergistically forms network mutually, and by specific network technology by the information of collection processes with fusion after send to user terminal.The wireless body area network technology is efficient for realizing, real-time, objective, accurately, the athletic rehabilitation monitoring system provides good means cheaply.
Based on problems such as training feedback in aforementioned conventional exercise rehabilitation training process are not enough, doctor's task is heavy, training place institute is limited, the inventor is in conjunction with current wireless body area network technology, develop and a kind ofly can overcome now defective athletic rehabilitation monitoring system, this case produces thus.
Summary of the invention
Purpose of the present invention, be to provide a kind of motion function rehabilitation monitoring system based on wireless body area network, but its Real-Time Monitoring patient moving rehabilitation situation, for follow-up rehabilitation training provides reasonability to instruct and suggestion, improves the rehabilitation training effect.
In order to reach above-mentioned purpose, solution of the present invention is:
A kind of motion function rehabilitation monitoring system based on wireless body area network, comprise the sensor terminal node, wireless aggregation node, the wireless body area network gateway, personal terminal, tele-medicine terminal and information feedback system, wherein, the sensor terminal node comprises power supply and the medical treatment transducer connected successively, signal conditioning circuit, microprocessor unit and wireless transmit/receive units, power supply is the remaining part power supply in the sensor terminal node, medical treatment transducer is sent the data of collection into signal conditioning circuit and is carried out pretreatment, then processed rear control wireless transmit/receive units by microprocessor unit and carried out wireless transmission, the data of described sensor terminal node collection are sent into respectively personal terminal and tele-medicine terminal through wireless aggregation node, wireless body area network gateway by wireless body area network successively, described tele-medicine terminal will be sent into information feedback system after described date processing, sets up the 3D model by information feedback system and is shown.
Medical treatment transducer in the sensor terminal node comprises the 3-axis acceleration sensor of measuring the limb motion parameter.
Medical treatment transducer in the sensor terminal node comprises the electromyographic signal sensor of measuring the myoelectricity state parameter, and its corresponding signal conditioning circuit comprises pre-amplification circuit, low-pass filter circuit, high-pass filtering circuit, notch filter circuit and the rear class amplifying circuit connected successively.
Medical treatment transducer in the sensor terminal node comprises the basic physiological sign signal measurement node of measuring the basic physiological physical sign parameters, its corresponding signal conditioning circuit comprises pre-amplification circuit, low-pass filter circuit, high-pass filtering circuit, notch filter circuit and the rear class amplifying circuit connected successively, and the driven-right-leg circuit that connects the pre-amplification circuit outfan.
The sensor terminal node is made by flexible PCB.
Above-mentioned wireless aggregation node comprises interconnective wireless aggregation node microprocessor unit, wireless aggregation node wireless communication unit and wireless aggregation node Power Management Unit, wherein, wireless aggregation node Power Management Unit is wireless aggregation node microprocessor unit and the power supply of wireless aggregation node wireless communication unit, described wireless aggregation node wireless communication unit, under the control of wireless aggregation node microprocessor unit, completes the data relay between sensor terminal node and wireless body area network gateway.
Above-mentioned personal terminal adopts personal hand-held PDA, mobile phone or panel computer.
After adopting such scheme, the present invention adopts the wireless body area network technology, the obstacle of limb movement patient is by dressing the parameter nodes such as motion, muscular strength, physiology, can be in real time the extremity motor function recovery situation of patient in training process be carried out to monitoring and evaluation, and adjust in real time doctor's hurt of rehabilitation scheme according to evaluation result; Employing motion, muscular strength and physiology three class wireless sensor terminal nodes, can be sent to the individual by Monitoring Data in real time or the remote rehabilitation medical terminal is carried out objective analysis; In addition, adopt the wireless body area network technology, effectively avoided monitoring instrument equipment to be connected with the wire between the patient, enlarged patient's range of activity, can also carry out remote monitoring and assessment to during rehabilitation training constantly simultaneously, reduce doctor's labor intensity, reduced patient's treatment cost.
The present invention is applied to the wireless body area network technology in the monitoring and evaluation system of athletic rehabilitation medical treatment, can effectively overcome that the real-time existed in conventional motion Rehabilitation Assessment process is poor, subjectivity is strong, cost is higher and open not problem; Because the obstacle of limb movement patient is in the majority mainly with the aged greatly, its health itself is existing problems just, therefore, the present invention is being moved to the patient, when the functional parameter such as muscular strength carries out Real-Time Evaluation, also patient's basic physiological physical sign parameters is monitored, to prevent that training mission is overweight or hurt of rehabilitation scheme is incorrect, patient's life security is threatened; In addition, with existing health monitoring systems, compare, athletic rehabilitation monitoring system provided by the invention be take the extremity motor function recovery situation of evaluate patient as main, and use virtual reality technology by the effect assessment Real-time Feedback to the patient, realization be the closed loop monitoring and evaluation.
A kind of athletic rehabilitation monitoring system based on wireless body area network of the present invention has following advantage:
(1) sensor terminal node monitoring information of the present invention rationally, effectively, the kinestate of being concerned about for athletic rehabilitation process Chinese physician and muscular strength information, avoided the deficiency that adopts traditional physiological monitoring system to hold athletic rehabilitation patient critical movable information; And monitoring sensor node has been introduced the acquisition node of basic physiological characteristic signal, the safety of protection patient in the exercise rehabilitation training process;
(2) sensor terminal node of the present invention has taken into full account the design of wearable row, and no matter the patient carries out exercise rehabilitation training in hospital, carries out out of doors exercise rehabilitation training or can dress comfortable, safely the sensor terminal node at the household daily life.Wearable sensor terminal node is used flexible PCB (FPC) design, has small and exquisite, light and stable characteristics, can be embedded into the clothes cloth or be fixed on the positions such as extremity, waist with fixing band.Patient's freedom of motion will can not be subject to the various restriction of traditional monitoring method wire, and system flexibility significantly improves;
(3) motion function rehabilitation monitoring system of the present invention is introduced wireless body area network, has realized the wireless medical Long-distance Control under hospital, household or community environment;
(4) that the Monitoring Data that monitoring system of the present invention receives has is real-time, characteristics accurately, and these data are rebuild for motion model, will react exactly patient's real motor capacity at that time;
(5) motion function rehabilitation monitoring system of the present invention provides various feedback mechanism; Traditional remote health monitoring system only realizes that the Real-time Collection of many physiological signals, long-range waveform show and the Threshold Alerts function there is no to form an effective closed loop feedback system.Motion function rehabilitation monitoring system of the present invention is by analyzing Monitoring Data, draw a series of evaluation results, and use virtual reality technology by the effect assessment Real-time Feedback to the patient, realization be the closed loop monitoring and evaluation, allow the patient carry out training under optimum stimulation;
(6) motion function rehabilitation monitoring system of the present invention provides GPS to follow the trail of patient's function, for patient's burst accident in training process under domestic environment or community's outdoor environment provides the probability of timely relief;
(7) motion function rehabilitation monitoring system of the present invention also has advantages of that general applicability is strong, low-power consumption, and can alleviate to greatest extent patient's trip burden, economy.
The accompanying drawing explanation
Fig. 1 is integrated stand composition of the present invention;
Fig. 2 is the structured flowchart of sensor terminal node in the present invention;
Fig. 3 is the external form figure of sensor terminal node in the present invention; (a) mean the schematic diagram of flexible PCB;
Fig. 4 be in the present invention the sensor terminal node at the scattergram of human body;
Fig. 5 is the integrated stand composition of wireless body area network gateway in the present invention;
Fig. 6 is the signal conditioning circuit schematic diagram of electromyographic signal measured node in the present invention;
Fig. 7 is the electrocardiosignal modulate circuit schematic diagram of basic physiological sign signal measurement node in the present invention;
Fig. 8 is the workflow diagram of sensor terminal node in the present invention.
The specific embodiment
Below with reference to accompanying drawing, technical scheme of the present invention is elaborated.
As shown in Figure 1, the invention provides a kind of motion function rehabilitation monitoring system based on wireless body area network, comprise sensor terminal node, wireless aggregation node, wireless body area network gateway, personal terminal, tele-medicine terminal and information feedback system, realize the wireless medical Long-distance Control under hospital, household or community environment, below will introduce respectively.
Described sensor terminal node comprises the movement parameter measurement node, electromyographic signal measured node and basic physiological sign signal measurement node, be respectively used to gather paralytic's limb motion parameter (position, speed, acceleration), myoelectricity state parameter (limbs surface myoelectric) and basic physiological physical sign parameters, the medical treatment transducer that each measured node includes power supply and connects successively, signal conditioning circuit, microprocessor unit and wireless transmit/receive units, wherein, power supply is the remaining part power supply in described measured node, medical treatment transducer is selected dissimilar sensor according to measuring object, wireless transmit/receive units adopts the RF232 radio transmitting and receiving chip, described medical treatment transducer is sent the data of collection into signal conditioning circuit and is carried out pretreatment, then by microprocessor unit, is processed rear control wireless transmit/receive units and carries out wireless transmission, described wireless transmit/receive units also receives the data acquisition command from the tele-medicine terminal.
In the present embodiment, the microprocessor unit of sensor terminal node is comprised of single MCU, memorizer and peripheral circuit module thereof, the ATmega128 microprocessor that MCU adopts atmel corp to produce is core, and system clock is provided by the crystal oscillator of the 8MHz of an outside.ATmega128 is 8 risc microcontrollers, supports jtag interface, has 10,8 tunnel ADC, and 53 programmable I/O mouths, have the characteristics of high-performance, low-power consumption.The microprocessor software system adopts the TinyOS Wireless Sensor Networks Operating System, has strengthened the stability in the node running.Wireless transmit/receive units is comprised of the low-consumption wireless transceiver module, adopts the most promising short-distance wireless communication technology of sensor network.
Described movement parameter measurement node is mainly measured human body limb limbs joint angle in motor process, the information such as position, by these information are calculated, can draw the movement locus of patient limb, speed and intensity, judgement patient's extremity motor function recovery situation, medical treatment transducer wherein adopts digital 3-axis acceleration sensor MMA7361, MMA7361 adopts the 3.3V Power supply, Xout pin output X-direction voltage, Yout pin output Y direction voltage, Zout pin output Z-direction voltage, each axial voltage do not move or not by the state of action of gravity under, its output is 1.65V, if move along a direction, or be subject to action of gravity, output voltage will change according to its direction of motion the output voltage size of each axle.
Described electromyographic signal measured node is mainly measured human body limb electromyographic signal situation of change in the exercise rehabilitation training process.The signal of telecommunication of following when electromyographic signal is muscle contraction, can determine the muscle peripheral nerve by the monitoring to this signal, neuron, the functional status of neuromuscular junction and muscle itself, determine the situation of patient's Myodynamia recovery in the athletic rehabilitation process, medical treatment transducer wherein adopts the electromyographic signal sensor, as shown in Figure 6, it is the signal conditioning circuit schematic diagram in the electromyographic signal measured node, mainly realize voltage amplification and the filtering of electromyographic signal, comprise the pre-amplification circuit be linked in sequence, low-pass filter circuit, high-pass filtering circuit, notch filter circuit and rear class amplifying circuit, because electromyographic signal is extremely faint, only have tens uV to several mV, and very easily being subject to outside noise disturbs, so need to carry out voltage amplification and Filtering Processing.The amplifier chip of electromyographic signal pre-amplification circuit is selected the accurate instrumentation amplifier chip of AD623, electromyographic signal is carried out to the amplification of 10 times of left and right.Through the electromyographic signal of preposition amplification, need to process after filtering the clutter composition in filtered signal.The frequency of electromyographic signal mainly concentrates in the 10-250Hz scope, and filter circuit mainly comprises a low-pass filter circuit, and cut-off frequency is 10Hz, by amplifier A2, is realized; High-pass filtering circuit, cut-off frequency is 250Hz, by amplifier A3, is realized; 50Hz notch filter circuit, disturb for filtering 50Hz power frequency, by amplifier A4, realized.Signal through hardware filtering will carry out voltage amplification by the rear class amplifying circuit, and amplification is 150 times, and electromyographic signal has been exaggerated 1500 times of left and right altogether, by amplifier A5, A6, is realized.
Described basic physiological sign signal measurement node is mainly measured the basic physiological sign signal of human body, comprises heart rate, pulse signal and breathing.Apoplexy, parkinson and other disability sufferer are in the majority with the old people, and its health itself is existing problems just, therefore, when carrying out exercise rehabilitation training, must the vital sign of patient critical be detected, to prevent that training mission is overweight or incorrect, patient's life security is threatened.The ecg signal acquiring sensor adopts common silver chloride electrode sheet, and P&R signals collecting sensor adopts piezoelectric film sensor.
Shown in Fig. 6, be the signal conditioning circuit figure that measures electrocardiosignal, comprise the pre-amplification circuit, low-pass filter circuit, high-pass filtering circuit, notch filter circuit and the rear class amplifying circuit that are linked in sequence, also comprise the driven-right-leg circuit that connects the pre-amplification circuit outfan; Because electrocardiosignal is extremely faint, only have several mV left and right, and very easily be subject to the outside noise interference, so need to carry out voltage amplification and Filtering Processing.The amplifier chip of electrocardiosignal pre-amplification circuit adopts the accurate instrumentation amplifier chip of AD623 equally.The frequency of electrocardiosignal mainly concentrates in the 5-100Hz scope, and filter circuit mainly comprises a low-pass filter circuit, and cut-off frequency is 5Hz, by amplifier A2, is realized; High pass filter, cut-off frequency is 100Hz, by amplifier A3, is realized; 50Hz notch filter circuit, disturb for filtering 50Hz power frequency, by amplifier A4, realized.Electrocardiosignal through hardware filtering will be carried out voltage amplification by the rear class amplifying circuit, and amplification is 100 times, and electrocardiosignal has been exaggerated 1000 times of left and right altogether, by amplifier A5, A6, is realized; The electrocardiosignal signal conditioning circuit also is added with driven-right-leg circuit in addition, farthest reduces common mode disturbances, and the protection patient safety, by amplifier A7, is realized.
Described wireless transmit/receive units is comprised of the low-consumption wireless transceiver module, meets the quick conversion of high speed sending mode and low-power consumption mode according to system requirements, and the present invention adopts ZigBee technology, based on IEEE802.15.6 Protocol Design radio receiving transmitting module.
During concrete enforcement, in order to make the patient move in the exercise rehabilitation training process, be not subject to medical terminal node wire to connect restriction, described sensor terminal node is also noted that the design of wearable property, strengthens the motility of monitoring node.For movement parameter measurement node and electromyographic signal measured node, in order not affect the impact of monitoring node on the limb motion process, the present embodiment adopts flexible PCB (FPC) design.Flexible PCB is to take polyimides or mylar a kind ofly to have height reliability, an excellent flexible printed circuit as what base material was made.Coordinate shown in Fig. 3 (a), this FPC circuit board is provided with signal conditioning circuit, central processing unit and embedded type antenna.Flexible PCB applies in the athletic rehabilitation monitoring system, has a series of advantage, as: (1) volume ratio traditional PCB is little, increases the convenience of dressing; (2) weight is lighter, and when dressing, impression, less than the weight of sensor terminal node, does not cause added burden to patient moving; (3) thin thickness, pliability is high, the human body skin surface of fitting.The sensor terminal node that flexible PCB can be made with fixing band is fixed in the limbs surface skin, flexible PCB will and limbs between close contact.Common circuit board is not flexible, and the patient wears the sensor terminal node that ordinary circuit board is made while carrying out rehabilitation exercise, can't carry out a lot of conventional action trainings, affects the training effect; And common circuit board is when dressing, and comfort level can't reach requirement, cause patient's training enthusiasm to reduce.For the collection of electrocardiosignal, breath signal, the sensor terminal node can be positioned over the positions such as chest, loins, can adopt the design of ordinary circuit board, can not cause restriction to patient moving.
Coordinate shown in Fig. 4, the sensor terminal node in the present embodiment is distributed in patient's extremity, chest and waist location.Medical treatment transducer of the present invention can be electrode slice, 3-axis acceleration sensor, gyroscope and PVDF piezoelectric membrane.Generally need in the specific implementation: at least 3 electrode slices, for detection of electrocardiosignal; At least 1 PVDF piezoelectric membrane, for detection of pulse signal; At least 1 PVDF piezoelectric membrane, for detection of breath signal; Some electrode slices, for detection of electromyographic signal; In addition, also need some 3-axis acceleration sensors, detect actuating signal.Sensor terminal node of the present invention comprises one of electrocardiosignal monitoring node, is positioned over breast section; One of pulse signal monitoring node, be positioned over wrist; One of breath signal monitoring node, be positioned over abdominal part or waist; Muscular strength signal monitoring node is some, is distributed in large arm, forearm, finger, thigh and muscle position, shank place, monitors the muscular strength situation of main muscle and muscle group; Acceleration of motion signal and position signalling monitoring node are some, are distributed in shoulder joint, elbow joint, carpal joint, finger, joint of lumbar vertebra, knee joint and ankle joint position, the important parameter during training of monitoring quadruped locomotion.3-axis acceleration sensor is in arm position and put the foundation that orientation directly affects the subsequent motion coordinate system.Set up effective space coordinates, can pass through effective, succinct motor reorgan algorithm, rebuild motion model.According to the coordinate axes of setting up and 3-axis acceleration ardware feature, we design concrete distribution and the orientation of 3-axis acceleration sensor on arm.
As shown in Figure 8, be the workflow diagram of sensor terminal node in the present invention, after the sensor terminal node powers on, start TinyOS operating system, initiating hardware, start the Power Supply Monitoring process, the order monitoring process.Once receive the acquisition of sending from the wireless body area network gateway, node starts to carry out A/D collection and the wireless transmission of signal; Receive the sleep command of sending from the wireless body area network gateway, the collection of node stop signal and transmission, enter park mode.The commonly used command of this example sensor terminal node has: the RESET order, allow the node reset of abnormal work, and restart; The SLEEP order, allow node stop data acquisition and transmission in work, enters park mode; The START order, allow the node of dormancy start data acquisition and transmission; The BATTERY order, whether the cell voltage of query node, need the prompting of charging of lithium battery to node.
Wireless aggregation node comprises wireless aggregation node microprocessor unit, wireless aggregation node wireless communication unit and wireless aggregation node Power Management Unit, and wireless aggregation node microprocessor unit, wireless aggregation node wireless communication unit and wireless aggregation node Power Management Unit interconnect and carry out communication by internal bus.Wireless aggregation node realizes that the data that terminal node is sent are stored, manage and merge, and can forward athletic rehabilitation monitoring task.
One group of sensor terminal node and the single wireless aggregation node that serves as coordinator of every patient's wearing form one synchronous bunch with stelliform connection topology configuration, corresponding network cluster, wireless aggregation node, wireless body area network gateway, personal terminal and the tele-medicine terminal of all patients forms low delay star bunch type wireless network, adopt the network communication protocol of the timeslot-based carrier wave multichannel access way of exempting to conflict, by the beacon mode with guarantee that time slot completes the time synchronized of the star bunch type in the wireless Experimental Network of low delay star bunch type.After the tele-medicine terminal is sent data acquisition command, the wireless body area network gateway by command transfer to wireless aggregation node be broadcast to each sensor terminal node; The sensor terminal node gathers patient's kinematic parameter, muscular strength information and basic physiological characteristic information, and, by the wireless body area network network, transfers to tele-medicine terminal or individual mobile terminal through wireless aggregation node, wireless body area network gateway successively; Information feedback system by the analysis to data carry out the motion model reconstruction, the patient trains participation evaluation etc., helps the doctor to analyze.
The wireless body area network gateway comprises microprocessor, protocol converter, external memory storage, ITAG download/debugging module, network control and interface module, LCD display module and power module, interconnect and carry out communication with internal bus between described microprocessor and protocol converter, ITAG download/debugging module, network control and interface module, LCD display module, external memory storage, network control and interface module accessing WLAN.The ARM9 family chip S3C2440 that microprocessor selects Samsung to produce, support (SuSE) Linux OS.The conversion of data format between the levels such as protocol converter gateway support and IEEE802.15.6/Zigbee network communication protocol, Internet network communication protocol and bluetooth communication protocol.Network control and interface module are linked into outside basic network facility by gateway device, the present invention adopts DM9000 network chip access network based on ethernet, with USB interface wireless network card accessing WLAN, with bluetooth serial ports module interface access blueteeth network, with WCDMA Ports Serial Communication Ports access 3G network.ITAG download/debugging module comprises JTAG download interface, USB interface and RS232 serial line interface.According to gateway device function needs, add external memory unit, LCD display unit and power module in addition, complete the function of gateway system operation, transfer of data and man-machine interaction.
The function of wireless body area network gateway is to receive the sensor terminal node data of sending from wireless aggregation node, and the transfer of data received is arrived to tele-medicine terminal and personal terminal, and the wireless body area network gateway is realized data, delivery network synchronous task that the issue of athletic rehabilitation monitoring task, storage sensor terminal node are sent.Wireless body area network gateway of the present invention is supported the communications such as RS232 serial ports, Ethernet, WLAN, bluetooth, the patient can recognize the motor capacity recovery situation of oneself and the training scheme of immediate feedback by personal terminal such as smart mobile phone, PDC, individual PC, has greatly expanded the application coverage of rehabilitation exercise monitoring system.
Personal terminal of the present invention comprises the mobile terminal equipments such as personal hand-held PDA, mobile phone, panel computer, it is in conjunction with terminal software, can make patient and family members thereof recognize the rehabilitation exercise training scheme of patient moving ability recovery situation, Myodynamia recovery situation and doctor's feedback, make the patient just can carry out effective exercise rehabilitation training in domestic environment or community environment.Most mobile phones all is equipped with the GPS positioning function in addition, once that the exercise-based rehabilitation program on patients training period occurs is uncomfortable, fall or the symptom such as shock, the doctor can orient rapidly patient's coordinate position, sends in time the rescue personnel to connect and controls the patient.
The tele-medicine terminal is equipped with corresponding terminal software, meets the function of doctor's Real-Time Monitoring patient moving state, and the doctor can study patient's motor capacity recovery situation and Myodynamia recovery situation easily.Simultaneously, terminal software can carry out to the monitor data received effective software filtering processing and characteristic signal extraction process.The tele-medicine terminal software can also be realized the several functions such as Monitoring Data Web issue, data storage and data readback.
Information feedback system is for reducing the limbs of patient motion model, identification patient's muscle fatigue degree and training participation, and use virtual reality technology by the effect assessment Real-time Feedback to the patient, realization be the closed loop monitoring and evaluation, allow the patient carry out training under optimum stimulation.Utilize virtual reality system to carry out dyskinesia rehabilitation training, allow the patient play a role in virtual environment, become the part in virtual environment, undertaken alternately by training action and virtual environment, virtual environment immediately gives the patient and adjusts.This training method can reduce the degree of dependence of rehabilitation process to therapist and treatment place, for the patient provides accurately, stablizes, personalized training mode.In the specific embodiment of the invention process, according to for the considering of patient's each side factor, can change the design parameter of virtual environment, increase the interest of therapeutic process, excite the patient to participate in the enthusiasm of therapeutic process, make passive treatment become active treatment.For example patient's training that ladled out soup in rehabilitation exercise training.The patient ladles out soup and has moved training by the little spoon of simple use from bowl.Dummy object in above-mentioned virtual scene (as bowl, spoon) can setting weight and size.By the athletic rehabilitation monitoring system, the patient is monitored, and the limbs recovery capability of evaluate patient, the rim of a bowl size of bowl and weight and each amount of ladling out soup of spoon determined.If find emotion continued jitters in training process of patient by monitoring system, illustrate that the difficulty of training is excessive, need to reduce in time spoon weight, the parameters such as the amount of ladling out soup; If find that by monitoring system the patient is in training process, the training participation is not high, needs to consider to change the virtual environment scene mode, for example can adopt the virtual environment of the scene of serving the tea, virtual environment of football scene etc.
When the present invention works, the sensor terminal node is Real-time Collection patient's limb motion parameter (position at first, speed, acceleration), myoelectricity state parameter (limbs surface myoelectric) and basic physiological physical sign parameters, then by wireless transmit/receive units, the data that collect are transferred to the wireless body area network gateway through wireless aggregation node, gateway is by realizing wireless body area network and Ethernet, bluetooth, the universal network seamless links such as GPRS, by patient moving Monitoring Rehabilitation transfer of data to personal terminal and tele-medicine terminal, after the tele-medicine terminal is processed Monitoring Data, limb motion 3D model during the training of information feedback system reconstruction patients, use virtual reality technology that the Rehabilitation Assessment effect is fed back to the patient, for follow-up rehabilitation training provides the reasonability suggestion.This system can be applied in dyskinesia patient's clinical rehabilitation medical practice, when patient's basic pathology information is carried out to security monitoring, can also carry out the Real-Time Evaluation feedback to extremity motor function and Myodynamia recovery effect, improve the rehabilitation training effect.
Performing step of the present invention is as follows:
First step: the architectural framework of the motion function rehabilitation monitoring system of design based on wireless body area network.The system assumption diagram of native system as shown in Figure 1;
Second step: the signal condition Unit Design of sensor terminal node.Design attitude, the acceleration transducer unit module; The design high accuracy, the electromyographic signal modulate circuit unit that noise robustness is good; The design high accuracy, the electrocardiosignal that noise robustness is good, pulse signal, breath signal modulate circuit unit;
Third step: sensor terminal node microprocessor unit design.8 risc microcontrollers of take are core, meet collection and the processing capacity of larger data amount, and add necessary peripheral circuit;
The 4th step: the wireless transmit/receive units design of sensor terminal node.Wireless transmit/receive units adopts ZigBee technology, usings the AT86RF230 wireless communication module as core, has the transfer rate of maximum 250Kbps, is operated in the 2.4GHzISM frequency range, the low power dissipation design characteristics;
The 5th step: sensor terminal node PCB design.Motion needs according to the patient in the exercise rehabilitation training engineering, for the movement position signal, the acceleration of motion signal, electromyographic signal, the pulse signal acquisition node adopts flexible PCB (FPC) design, make the patient dress more comfortable, easily node, do not limit the limbs of patient freedom of motion, do not produce additional movements burden weight.As shown in Figures 2 and 3, A, for measuring the acceleration of motion signal, is located at the carpal joint of hands to sensor node design drawing of the present invention, and B, for measuring electromyographic signal, is located on arm;
The 6th step: sensor terminal node distribution design.Monitoring node scattergram of the present invention as shown in Figure 4;
The 7th step: sensor terminal node software design.Node of the present invention can be resolved the order of transmitting from tele-medicine terminal and personal terminal, carries out collection, processing and the transmission of data;
The 8th step: design wireless aggregation node unit module, comprise wireless aggregation node microprocessor unit, wireless aggregation node wireless communication unit and wireless aggregation node Power Management Unit;
The 9th step: design wireless body area network gateway unit module, comprise microprocessor, protocol converter, external memory storage, ITAG download/debugging module, network control and interface module, LCD display module and power module, gateway node general frame figure as shown in Figure 5;
The tenth step: design gateway system software.The gateway operation system adopts the linux system, can control efficiently all task coordinates and unanimously move, and according to system, need to carry out Message Processing, task scheduling, database access and interface alternation function;
The 11 step: design personal terminal.Personal terminal of the present invention comprises personal hand-held PDA and smart mobile phone.The real-time demonstration of personal terminal software support Monitoring Data and rehabilitation exercise training feedback opinion function.Cellphone GPS positioning function energy position patient rehabilitation exercise training address information in addition, once fortuitous event occur in during rehabilitation training occurring, the doctor can judge in time, and sends the treatment personnel to arrive in correct place;
The 12 step: design tele-medicine terminal software, realize the Socket communication function between LAN, obtain the Real-time Monitoring Data of wireless body area network gateway transmission; Realize the signal filtering function, still there is more clutter in the monitor signal transmitted from gateway, need to carry out software filtering, obtains more desirable monitoring waveform; Realize the Web issuing function, make the patient monitoring people can obtain by individual PC, PDA and mobile phone patient's Monitoring Rehabilitation data; Realize patient's real-time navigation capability; Realize the just function of instant alarming of secure threshold that the patient body situation surpass to set;
The 13 step: design information feedback system.Information feedback system can be reacted patient's training situation intuitively according to the limbs 3D motion model of real-time kinematic parameter (acceleration of motion, intensity, track etc.) reconstruction patients, and whether research patient's movement locus reaches the imagination of expection; Secondly, this software extracts the characteristic information in electromyographic signal, feedback patient's Myodynamia recovery situation; In addition, this software extracts electrocardiosignal, the characteristic signal of pulse signal and breath signal, can effectively judge that by recognizer the patient trains participation, mental status, and use virtual reality technology by the effect assessment Real-time Feedback to the patient, realization be the closed loop monitoring and evaluation.The doctor is by the therapeutic scheme of feedback by Web, and the communication networks commonly used such as mobile phones universal network feed back to the patient monitoring people, make the patient not be used in hospital and also can carry out correct, efficient, safe rehabilitation training.
When the present invention carries out the athletic rehabilitation monitoring, specifically comprise the following steps:
First step: the patient starts to carry out rehabilitation training, and the motion function rehabilitation monitoring system is carried out network arrangement and initialization, comprises that sensor terminal node initializing, wireless aggregation node initialize, the wireless body area network gateway initializes;
Second step: start monitoring process, distribution, the network topology of each node in display radio body area network network;
Third step: motion function rehabilitation monitoring system loading system log-on data gathers process and Monitoring and Controlling process, and the motion function rehabilitation monitoring system based on wireless body area network gathers and transmission command to the wireless body area network distributing data by the wireless body area network gateway;
The 4th step: personal terminal is established the data that read the wireless body area network gateway with the tele-medicine terminal, draws the real-time curve chart of Monitoring Data simultaneously, and automatically realizes the data base's of Monitoring Data real-time update.Be sent to patient monitoring people's personal terminal and the data of tele-medicine terminal still has more clutter simultaneously, so need to carry out effective filtering algorithm processing.The present embodiment proposes to adopt Wavelet Packet Algorithm, and effectively the clutter composition in filtered signal, extract the characteristic signal in training parameter, electromyographic signal and basic physiological characteristic signal;
The 5th step: information feedback system, by Analysis on monitoring data, draws a series of evaluation results, and comprehensive doctor's diagnostic result, to the patient, provides the feedback treating scheme.The information feedback system of the present embodiment has made up Real-time Collection, the demonstration of long-range waveform and the Threshold Alerts function that traditional health monitoring only realizes the physiological signals such as electrocardiosignal, pulse signal, there is no to form an effective closed loop feedback system.Monitoring system of the present invention can be reduced the limbs of patient motion model by efficient algorithm, identification patient's muscle fatigue degree and training participation, and use virtual reality technology by the effect assessment Real-time Feedback to the patient, what realize is the closed loop monitoring and evaluation, allows the patient carry out training under optimum stimulation.
To sum up, the present invention adopts the wireless body area network technology, the obstacle of limb movement patient is by dressing the nodes such as motion, muscular strength, physiology, can be in real time the extremity motor function recovery situation of patient in training process be carried out to monitoring and evaluation, and adjust in real time doctor's hurt of rehabilitation scheme according to evaluation result; Employing motion, muscular strength and physiology three class wireless sensor terminal nodes, can be sent to the individual by Monitoring Data in real time or the remote rehabilitation medical terminal is carried out objective analysis; In addition, adopt the wireless body area network technology, effectively avoided monitoring instrument equipment to be connected with the wire between the patient, enlarged patient's range of activity, can also carry out remote monitoring and assessment to during rehabilitation training constantly simultaneously, reduce doctor's labor intensity, reduced patient's treatment cost.
The present invention is applied to the wireless body area network technology in the monitoring and evaluation system of athletic rehabilitation medical treatment, can effectively overcome that the real-time existed in conventional motion Rehabilitation Assessment process is poor, subjectivity is strong, cost is higher and open not problem; Because the obstacle of limb movement patient is in the majority mainly with the aged greatly, its health itself is existing problems just, therefore, the present invention is being moved to the patient, when the functional parameter such as muscular strength carries out Real-Time Evaluation, also patient's basic physiological physical sign parameters is monitored, to prevent that training mission is overweight or hurt of rehabilitation scheme is incorrect, patient's life security is threatened; In addition, with existing health monitoring systems, compare, athletic rehabilitation monitoring system provided by the invention be take the extremity motor function recovery situation of evaluate patient as main, and use virtual reality technology by the effect assessment Real-time Feedback to the patient, realization be the closed loop monitoring and evaluation.
Above embodiment only, for explanation technological thought of the present invention, can not limit protection scope of the present invention with this, every technological thought proposed according to the present invention, and any change of doing on the technical scheme basis, within all falling into protection domain of the present invention.
Claims (7)
1. the motion function rehabilitation monitoring system based on wireless body area network, it is characterized in that: comprise the sensor terminal node, wireless aggregation node, the wireless body area network gateway, personal terminal, tele-medicine terminal and information feedback system, wherein, the sensor terminal node comprises power supply and the medical treatment transducer connected successively, signal conditioning circuit, microprocessor unit and wireless transmit/receive units, power supply is the remaining part power supply in the sensor terminal node, medical treatment transducer is sent the data of collection into signal conditioning circuit and is carried out pretreatment, then processed rear control wireless transmit/receive units by microprocessor unit and carried out wireless transmission, the data of described sensor terminal node collection are sent into respectively personal terminal and tele-medicine terminal through wireless aggregation node, wireless body area network gateway by wireless body area network successively, described tele-medicine terminal will be sent into information feedback system after described date processing, sets up the 3D model by information feedback system and is shown.
2. a kind of motion function rehabilitation monitoring system based on wireless body area network as claimed in claim 1 is characterized in that: the medical treatment transducer in described sensor terminal node comprises the 3-axis acceleration sensor of measuring the limb motion parameter.
3. a kind of motion function rehabilitation monitoring system based on wireless body area network as claimed in claim 1, it is characterized in that: the medical treatment transducer in described sensor terminal node comprises the electromyographic signal sensor of measuring the myoelectricity state parameter, and its corresponding signal conditioning circuit comprises pre-amplification circuit, low-pass filter circuit, high-pass filtering circuit, notch filter circuit and the rear class amplifying circuit connected successively.
4. a kind of motion function rehabilitation monitoring system based on wireless body area network as claimed in claim 1, it is characterized in that: the medical treatment transducer in described sensor terminal node comprises the basic physiological sign signal measurement node of measuring the basic physiological physical sign parameters, its corresponding signal conditioning circuit comprises pre-amplification circuit, low-pass filter circuit, high-pass filtering circuit, notch filter circuit and the rear class amplifying circuit connected successively, and the driven-right-leg circuit that connects the pre-amplification circuit outfan.
5. a kind of motion function rehabilitation monitoring system based on wireless body area network as claimed in claim 1, it is characterized in that: described the sensor terminal node is made by flexible PCB.
6. a kind of motion function rehabilitation monitoring system based on wireless body area network as claimed in claim 1, it is characterized in that: described wireless aggregation node comprises interconnective wireless aggregation node microprocessor unit, wireless aggregation node wireless communication unit and wireless aggregation node Power Management Unit, wherein, wireless aggregation node Power Management Unit is wireless aggregation node microprocessor unit and the power supply of wireless aggregation node wireless communication unit, described wireless aggregation node wireless communication unit is under the control of wireless aggregation node microprocessor unit, complete the data relay between sensor terminal node and wireless body area network gateway.
7. a kind of motion function rehabilitation monitoring system based on wireless body area network as claimed in claim 1, is characterized in that: described personal terminal employing personal hand-held PDA, mobile phone or panel computer.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102567638A (en) * | 2011-12-29 | 2012-07-11 | 无锡微感科技有限公司 | Interactive upper limb rehabilitation system based on micro-sensor |
US20120254987A1 (en) * | 2011-03-30 | 2012-10-04 | Qualcomm Incorporated | Pairing and authentication process between a host device and a limited input wireless device |
JP2012199663A (en) * | 2011-03-18 | 2012-10-18 | Seiko Epson Corp | Information communication terminal, biological information measurement instrument, and information communication system |
CN102968550A (en) * | 2012-10-18 | 2013-03-13 | 上海交通大学无锡研究院 | Human health unified management system for community based on body area network |
WO2013043547A1 (en) * | 2011-09-20 | 2013-03-28 | Acqconet Technology, Inc. | Care system |
-
2013
- 2013-09-05 CN CN201310397629.XA patent/CN103479362A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2012199663A (en) * | 2011-03-18 | 2012-10-18 | Seiko Epson Corp | Information communication terminal, biological information measurement instrument, and information communication system |
US20120254987A1 (en) * | 2011-03-30 | 2012-10-04 | Qualcomm Incorporated | Pairing and authentication process between a host device and a limited input wireless device |
WO2013043547A1 (en) * | 2011-09-20 | 2013-03-28 | Acqconet Technology, Inc. | Care system |
CN102567638A (en) * | 2011-12-29 | 2012-07-11 | 无锡微感科技有限公司 | Interactive upper limb rehabilitation system based on micro-sensor |
CN102968550A (en) * | 2012-10-18 | 2013-03-13 | 上海交通大学无锡研究院 | Human health unified management system for community based on body area network |
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Application publication date: 20140101 |