CN1729933A - Portable health-care monitoring arrangement with motion compensation function and its compensation method - Google Patents
Portable health-care monitoring arrangement with motion compensation function and its compensation method Download PDFInfo
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- CN1729933A CN1729933A CN 200410056044 CN200410056044A CN1729933A CN 1729933 A CN1729933 A CN 1729933A CN 200410056044 CN200410056044 CN 200410056044 CN 200410056044 A CN200410056044 A CN 200410056044A CN 1729933 A CN1729933 A CN 1729933A
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Abstract
The invention provides a portable health-monitoring device with the function of motion compensation, comprising: a motion sensor (5) for detecting the motion signal of detected people; a biomedicine sensor (1) for detecting the biomedicine signal of detected people; and a motion compensation module (14) coupled to the motion sensor and the biomedicine sensor for compensating the biomedicine signal via the motion signal when the motion signal is less than a threshold value detected by the motion sensor, and the outputs the compensated signal as well as memories said output value of the portable health-monitoring device; in addition, when the motion signal is bigger than the threshold value detected by the motion sensor, the motion compensation module uses the memorized output value as the output of said portable health-monitoring device. The invention also provides a relative method for aforementioned device.
Description
Technical field
The present invention relates to a kind of portable medical apparatus, refer to a kind of portable health-monitoring device that can compensate especially person's to be measured motion, and to the method for motion compensation.
Background technology
Along with the raising day by day of development of science and technology and people's living standard, various electronic products are being played the part of more and more important role gradually in daily life.The appearance of various portable health care checkout equipments greatly facilitates the at any time monitoring of people to own health especially.For example, electronic type blood pressure meter on the market, electronic type clinical thermometer, pulse instrument or the like now can be checked oneself health so that people no longer need hospital whenever and wherever possible.Recently, have benefited from the develop rapidly of computer technology and electronic technology, the development of Wearable health-care appliance is at a tremendous pace, and it can measure various life-informations, for example pulse, heart rate, body temperature, blood pressure and blood glucose value or the like easily.All these measurements all are to be undertaken by the mode of non-intervention.The characteristic that property worn that it possessed and volume are little is being represented the development trend of portable health care checkout equipment.
When people used traditional biomedical measurement instrument in hospital, person to be measured must keep immobilized state usually in test process.Because person's to be measured athletic meeting causes the noise signal and the irrecoverable error of gauge.And when stating portable health care checkout equipment in the use, person to be measured may be in the various kinestates, motion to this portable health care checkout equipment to influence meeting more serious.This is because most information all is a pick off (for example, infrared detector) by using loose contact, rather than closely touch sensor (for example electrode in electroencephalogram and the electrocardiogram) is measured.The pick off of these loose contacts is responsive more to motion artifacts.In measuring process, can greatly influence the sensitivity and the precision of equipment as the motion artifacts in main noise source.Therefore, how compensating motion seems particularly important and urgent to the influence of measurement result in portable health-monitoring device.
In present health care checkout equipment, it is not for portability and can wears and specially designed.Do not have any motion compensation function.This has limited the application of this checkout gear, and has reduced accuracy of detection.Along with the development of the health care facility of portable and Worn type, function that more and more need integrated motion compensation in this equipment.
Some scientific research groups attempt to compensate this motion artifacts by improving biosensor.For example, the scientific research group of MIT uses the double loop technology to reduce the motion artifacts of using loop pick off infrared, that be used for pulses measure.Yet the add ons of this pick off makes this equipment volume become big, and in the biosensor of Wearable, the size of pick off is vital factor.
United States Patent (USP) 5,513,649 disclose in the electroencephalogram test process, remove the motion of human body and interferential a kind of apparatus and method that the eye motion forms.This device will be removed from the interfering signal of human motion by a sef-adapting filter and an adder are set.This sef-adapting filter can be realized by the software in the computer, also can be realized by hardware circuit.The said apparatus complex structure, the cost costliness can not be applicable to the portable health-monitoring device that volume is less.
Summary of the invention
In view of the above problems, the purpose of this invention is to provide a kind of portable health-monitoring device that can compensate and the method that motion is compensated, thereby improve the precision of test data person's to be measured motion.
To achieve these goals, the invention provides a kind of portable health-care monitoring arrangement with motion compensation function, wherein, comprising: a motion sensor is used for sensing measured's motor message; One biological pick off is used to detect measured's biomedicine signals; One motion compensating module, couple with this motion sensor and this biosensor, this motor message that is used for sensing when this motion sensor is during less than a threshold value, by this motor message this biomedicine signals is compensated, and the signal value after will compensating is as the output of this device, simultaneously this output valve of buffer memory; The motor message that senses when this motion sensor is during greater than a threshold value, with the output valve of this buffer memory output valve as this portable health-monitoring device.
The invention provides a kind of portable health care checkout equipment that uses medical sensor, it can remove the noise that causes owing to motion artifacts (motion artifact), and it is compensated, and the method for motion compensation.This movable information is detected by the motion sensor of this device, and conduct is with reference to signal.This reference signal is divided into saturated reference signal or unsaturation reference signal, in a different manner it is handled.Use the output signal of a buffer memory to replace this saturated input signal, and use an adaptive digital filter to strengthen this unsaturation input signal.
The present invention also provides a kind of method that portable health-monitoring device is carried out motion compensation, comprise the steps: in this health care checkout gear, to be provided with a motion sensor and a biological pick off, simultaneously sensing measured's motor message and biomedicine signals; A motor message and a threshold value of presetting that this motion sensor is sensed compare, when this motor message during less than this threshold value, by this motor message this biomedicine signals is compensated, and the signal value after will compensating is as the output of this device, simultaneously the output valve of buffer storage; When this motor message during, with the output valve of this buffer memory output valve as this device greater than this threshold value.
The invention has the beneficial effects as follows, the invention provides and a kind ofly obtain the method for carrying out motion compensation for the data of this portable health care checkout equipment.It is designed to reduce or to remove the motion artifacts (motion artifact) of checkout gear in the testing process of heart rate and blood pressure of Wearable.Because this portable and Wearable checkout gear itself, it is very easy to be subjected to the interference of measured's motion.In the future, motion compensation process provided by the invention can be used to all other be easy to be subjected in the checkout gear of portable and Worn type of motion artifacts.Because this Worn type health care checkout equipment will be a developing tendency in future, and it will be integrated in the mobile electronic device such as mobile phone and PDA, so motion compensation process provided by the invention has the very big market demand.
By the solution of the present invention, whether the measured has carried out motion can be passed through from motion sensor, for example the signal of accelerometer is determined, its output signal with this accelerometer is used for removing on one's own initiative motion artifacts, and, the invention provides the feedback signal of a buffer memory, it provides a stable and accurate output with this motion detection.
Except motion compensation, this method also makes device produce stable output.This helps the output reading of this health care checkout equipment not to be subjected to wrong invasion.Consequently, can increase the precision of this Fitness Testing record generally.The medical personnel that this helps to check these health records determine that improper output causes for the reason of health, still only are test errors.
The invention will be further described below in conjunction with the drawings and specific embodiments.
Description of drawings
Fig. 1 is the system block diagram of the adaptive motion compensated scheme of the portable health care checkout equipment of the present invention;
Fig. 2 is the local figure of the operation principle of the sef-adapting filter among Fig. 1;
Fig. 3 is the curve chart that has shown the primary cardiac pulses data (obtaining in the finger surface detection with infrared sensor) that do not have motion artifacts, and the output of this accelerometer almost keeps normal value;
Fig. 4 shows the signal that collects in this motion sensor and this biomedical sensor, wherein preceding half section not motion generation, and there is slight motion the second half section;
Fig. 5 shows the signal that collects in this motion sensor and this biomedical sensor, wherein preceding half section not motion generation, and there is violent motion the second half section.
The specific embodiment
As shown in Figure 1, be the theory diagram of relevant motion compensation portion in the portable health-monitoring device that can compensate of the present invention to person's to be measured motion.In this scheme, in this device, be respectively arranged with a motion sensor 5 and biosensor 1, in order to side by side to gather required motor message and biomedicine signals.Various motion sensors be can use, accelerometer, gyroscope, angular accelerometer and optical motion pick off or the like comprised.In the embodiment show in figure 1, adopted accelerometer.Accelerometer is widely used in vehicle dynamic control, electronic chassis control, alarm and motion detection, navigation and platform stable.In health care and security fields, it only is to be used for motion, the detection of falling or falling.Method of the present invention has been expanded the range of application of this accelerometer.This biosensor 1 then can be optical pickocff, infrared ray sensor, sonic transducer, sonac, pressure transducer, heart rate sensor, heart sound transducer, blood glucose sensor, blood oxygen transducer, blood flow transducer, respiration pickup, pressure transducer, temperature sensor, humidity sensor or the like.These above-mentioned two kinds of signals according to the characteristics of himself, are for further processing by analog filter 2 (6) and amplifier 3 (7) respectively.Because the level of bio signal is lower usually, further be amplified to required frequency range and certain level value after its meeting is filtered, be convenient to further processing.The analogue signal that collects need be converted into digital signal so that the processing of next step by AD converter 4,8.
As shown in Figure 1, this device also comprises a motion compensating module 14, and it links to each other with biosensor 1 with this motion sensor 5, receives motor message 22 and the biomedicine signals 18 collect respectively, and after it is compensated processing, forms the output 27 of device.
As shown in Figure 1, this motion compensating module 14 further comprises a motion thresholding decision circuit 9, a sef-adapting filter 10, a subtractor 12, an adder 13, a buffer 11 and two weighter 29 and 30.
This motion thresholding decision circuit 9 can will compare through a digitized motor message 22 and a threshold value.Based on the value of this motor message, this motor message is divided into saturation signal or unsaturation signal, is saturation signal greater than the motor message of this threshold value, is the unsaturation signal less than the motor message of this threshold value.When this motor message during less than this threshold value, export this a unsaturation motor message 24 and a control signal 23, when this motor message during, only export this control signal 23 greater than this threshold value.Control signal 23 act on hereinafter explanation.The amplitude that fluctuates owing to bio signal 18 can increase along with the increase of motor message 22, and this threshold value is set to the motor message value of the minimum that can cause that this biomedicine signals is saturated.
The work process of this sef-adapting filter that further illustrates below in conjunction with Fig. 2 illustrates the setting of this threshold value.If not motion, this motor message can remain a normal value x
0When motion takes place, this motor message x
kCan increase according to the situation of this motion or reduce.This biomedicine signals y
kAmplitude will be decided by the amplitude (x of the fluctuation of this motor message
k-x
0) and the actual value s of this biomedicine signals
kThat is: y
k=f (x
k-x
0)+s
kWherein function f depends on the kind of biomedicine signals, and the position of measurement and being used to obtains the kind of the pick off of motor message.
From the above, work as x
kDuring increase, y
kCan increase thereupon.Up to x
kIncrease to a certain value x
t, y
kBecome saturated.At this moment x
tJust be set to this motion threshold value.
As seen from Figure 2, this sef-adapting filter 10 comprises two parts, and a part is the digital filter with scalable coefficient, and another part is the adaptive algorithm that is used to adjust or revise the coefficient of this wave filter.
As shown in Figure 2, signal y
kThe biomedicine signals that is disturbed, it comprises the signal s that wants
kWith noise n
kTwo parts, and these two parts do not have dependency.This motor message x
kBe an interferential tolerance, its to a certain extent with this noise n
kRelevant.In the ordinary course of things, this noise n
kCan be along with this motor message x
kIncrease and increase.
Below discuss in detail the work process of device compensating motion signal of the present invention.
First kind of situation, motor message x
kLess than this motion threshold value x
tThe motor message of this moment is the unsaturation signal.The unsaturation signal 24 of these motion thresholding decision circuit 9 outputs is as the input of this sef-adapting filter 10.As shown in Figure 2, through after the filtering of sef-adapting filter 10, output movement estimated value n
k', signal by way of compensation.This motion estimated values n
k' and this biomedicine signals y
kIn noise n
kCorresponding.So, under the effect of this subtractor 12, can from the biomedicine signals that comprises noise, deduct this motion estimated values n
k', thereby obtain the only remaining estimated value s that wants component of signal
k'.That is to say that this wants the estimated value s of signal
k' by from this disturbed signal y
kIn deduct the output n of this digital filter 10
k' and obtain, that is:
s
k’＝y
k-n
k’
s
k’＝s
k+n
k-n
k’
Like this, output signal s
k' just eliminated this component motion (noise), just compensated the influence of motion to measurement result.
The main purpose of removing noise is to be used for the noise of this disturbed signal is carried out optimum estimation, and therefore obtains the optimization estimated value of this signal of wanting.This is by with this s
k' be input in this digital filter 10 as feedback, adjust the coefficient of this digital filter by suitable adaptive algorithm, thereby obtain the suitable compensation signal, with output signal s
k' in exercise factor drop to minimum.This shows this output signal s
k' two effects are arranged: 1, as the estimated value of wanting data; 2, as the error signal that is used to adjust this filter coefficient.
Can see also that by Fig. 1 the output signal after the compensation can be cached in this buffer 11 when feeding back to sef-adapting filter.
This bio signal 26 after overcompensation is directly to export as the output 27 of system.This is by this being arranged on the weight w of first weighter 29 between this adder 13 and the subtractor 12
0Being set to 1 realizes.Meanwhile, owing to will be arranged on the weight w of second weighter 30 between this adder and this buffer 11
1Setting just can not be output so be arranged in the buffered signal of this buffer 11 for 0.As seen from Figure 1, this first weighter and this second weighter all receive the control signal 23 of these motion thresholding decision circuit 9 outputs, under the effect of this control signal 23, can realize being provided with the weight of this first and second weighter.
Second kind of situation is as this motor message x
kGreater than this motion threshold value x
tThe time, this motion thresholding decision circuit 9 judges that this motor message is a saturation signal.At this moment, can not from comprising the biomedicine signals 18 of noise, this recover the output of significant system by the method for compensation.So this motion thresholding decision circuit is only exported this control signal 23, this sef-adapting filter 10 is in disarmed state.At this moment, under the effect of this control signal 23, the weight w of this second weighter 30
1Be set at 1, so just will be stored in buffered signal 28 in this buffer 11 in advance as the output of device.Meanwhile, under the effect of this control signal 23, with the weight w of this first weighter 29
0Be set at 0, thereby stop the biomedicine signals 26 of this estimation to be output.Find out that by Fig. 1 the signal 28 of this buffer memory is through the output 27 of these adder 13 backs as device.Thereby avoided the insignificant signal of output.If measured biomedicine signals is approximate periodic, such as pulse signal, the buffered signal 28 of storing in advance in this buffer 11 will be the signal of a complete cycle.When above-mentioned serious noise took place in some signal periods, this buffer 11 was with the signal of corresponding time point in the periodic signal of pointwise ground output buffers.If the time that serious noise takes place exceeds one-period, this output procedure will continue to stop up to serious noise so.
If this biomedicine signals 18 becomes saturated under the effect of motion, the output of this sef-adapting filter 10 is by the weight w with this first weighter 29
0Be set to 0 and get clogged.Therefore, this sef-adapting filter is just no longer valid, and up to being under this motion threshold value when this motor message 22, during the system recovery normal condition, this wave filter just comes into force once more.
In sum, compensation way of the present invention has following beneficial effect.If the measured does not move or motion is not remarkable, motor message will be within the default thresholding.This motor message will pass through this sef-adapting filter 10, and the output of this sef-adapting filter is used to compensate the biomedicine signals that this passive movement has disturbed, and the biomedicine signals after compensation is output as this bio signal 27, be buffered device 11 buffer memorys simultaneously.If the measured moves, and motor message surpassed default threshold value, and this motor message is exactly saturated motor message.When motor message is saturated, be subjected to the interference of this motion, bio signal also is in saturated state, and primary bio signal can not be recovered by this adaptive digital filter.At this moment ignore the bio signal that this collects, system exports the signal of buffer memory in advance.Motion up to the measured reduces, and motor message drops to this threshold value when following, and system just is returned to normal mode of operation once more.Like this, no matter the measured carries out slight motion still is violent motion, can guarantee that all this device has normally, accurate output valve.
Except sef-adapting filter 10, can use different signal processing technologies to remove noise adaptively, comprising fuzzy logic and neutral net.
The adder of native system and subtractor can be made of general digital circuit or integrated operational amplifier, and the weighted value of this first weighter and second weighter is owing to have only 0 and 1 two kind of situation, so can constitute with common analog switch.
In order to show the feasibility of this method, made up a system prototype.This prototype is the Wearable heart rate monitor.It utilizes the technology of so-called optical plethysmography (photoplethysmography), the pulse of using infrared sensor to measure heart.By the circuit of integrated this accelerometer, can gather cardiac pulses signal (required output signal) and motor message simultaneously.
Fig. 3 has shown the cardiac pulses signal the when measured does not move.Following waveform is the waveform of cardiac pulses.It advances consistently with stable rhythm.Because not motion, the output of this accelerometer remains and approaches normal value.Consequently, the motion alarm signal remains on low level, and the output signal of this equipment is accurately measured cardiac pulses signal.Simultaneously, system's output is cached in the buffer provisionally, is used for carrying out when motion takes place motion compensation.
Fig. 4 has shown the waveform of the cardiac pulses that is subjected to the motion slight effect.Before slight motion, by figure preceding half section as can be seen, the waveform of this cardiac pulses and the output signal of this accelerometer are stable, and with shown in Figure 3 similar.When slight motion took place, the output meeting of accelerometer was owing to this motion changes.Meanwhile, this cardiac pulses waveform distortion that under this motion artifacts effect, becomes.At this moment, this real-time cardiac pulses waveform will carry out filtering according to this slight motion and this sef-adapting filter, with its result with output as equipment.Therefore can be in the reference-junction compensation motion artifacts of system.When this slight motion stopped, the output of accelerometer can be fallen back to normal value.The cardiac pulses waveform that should measure in real time will be as the output of system, and buffer memory as usual.
Fig. 5 has shown the waveform of the cardiac pulses that has a strong impact on of being moved.Before strenuous exercise, the waveform of this cardiac pulses and the output signal of this accelerometer are stable, and with shown in Figure 3 similar.When strenuous exercise took place, the output meeting of accelerometer was owing to acute variation takes place in this motion.Meanwhile, the serious distortion that under this motion artifacts effect, becomes of this cardiac pulses waveform, consequently, this real-time cardiac pulses waveform will be replaced by this cardiac pulses waveform that prestores, with the output as equipment.Therefore can be in the outfan shielding motion artifacts of system.When this motion stopped, the output of accelerometer can be fallen back to normal value.The cardiac pulses waveform that should measure in real time will be as the output of system, and buffer memory as usual.
Claims (12)
1, a kind of portable health-care monitoring arrangement with motion compensation function is characterized in that, comprising:
One motion sensor (5) is used for sensing measured's motor message;
One biological pick off (1) is used to detect measured's biomedicine signals;
One motion compensating module (14), couple with this motion sensor and this biosensor, this motor message that is used for sensing when this motion sensor is during less than a threshold value, by this motor message this biomedicine signals is compensated, and the signal value after will compensating is as the output of this device, simultaneously this output valve of buffer memory; The motor message that senses when this motion sensor is during greater than a threshold value, with the output valve of this buffer memory output valve as this portable health-monitoring device.
2, portable health-monitoring device as claimed in claim 1 is characterized in that, described motion sensor is to be selected from one of them of following set: accelerometer, gyroscope, angular accelerometer and optical motion pick off.
3, portable health-monitoring device as claimed in claim 1, it is characterized in that described biosensor is to be selected from one of them of following set: optical pickocff, infrared ray sensor, sonic transducer, sonac, pressure transducer, heart rate sensor, heart sound transducer, blood glucose sensor, blood oxygen transducer, blood flow transducer, respiration pickup, pressure transducer, temperature sensor, humidity sensor.
4, portable health-monitoring device as claimed in claim 1, it is characterized in that, described motion compensating module also comprises a motion thresholding decision circuit (9), a sef-adapting filter (10), a buffer (11), a subtractor (12) and first, second weighter (29,30), wherein:
This motion thresholding decision circuit (9) receives this motor message of this motion sensor output, and itself and this threshold value is compared; When this motor message during less than this threshold value, export a unsaturation motor message (24) and a control signal (23), when this motor message during, only export this control signal (23) greater than this threshold value;
This sef-adapting filter (10) receives this unsaturation motor message of this motion thresholding decision circuit output, and this unsaturation motor message is carried out adaptive-filtering, obtains a compensating signal;
This subtractor (12) receives from this biomedicine signals that comprises noise of this biosensor output and this compensating signal of exporting from this sef-adapting filter, from this biomedicine signals, deduct this compensating signal, and the biomedicine signals after will compensating is by this first weighter output; Should export feedback simultaneously and be input in this sef-adapting filter (10), and be cached in this buffer (11);
This first weighter (29) and this second weighter (30) receive this control signal of this motion thresholding decision circuit (9) output, make the weighted value of this two weighter between 0 and 1, to switch, to switch the biomedicine signals after output compensates, the output valve of this buffer (11) buffer memory.
5, portable health-monitoring device as claimed in claim 4 is characterized in that, described motion sensor and biosensor respectively with analog filter (6,2), amplifier (7,3) and A/D converter (8,4) link to each other, so that the signal that collects is further processed.
6, portable health-monitoring device as claimed in claim 4 is characterized in that this motion compensating module also comprises an adder, and first and second weighter of its input and this links to each other, and its outfan is the outfan of this motion compensating module.
7, a kind of method that portable health-monitoring device is carried out motion compensation is characterized in that, comprises the steps:
One motion sensor and a biological pick off are set, simultaneously sensing measured's motor message and biomedicine signals in this health care checkout gear;
A motor message and a threshold value of presetting that this motion sensor is sensed compare, when this motor message during less than this threshold value, by this motor message this biomedicine signals is compensated, with the output of the signal value after the compensation as this device, the output valve of buffer storage simultaneously;
When this motor message during, with the output valve of this buffer memory output valve as this device greater than this threshold value.
8, the method for motion compensation as claimed in claim 7 is characterized in that, the comparative result of this motor message and this threshold value comprises unsaturation motor message and saturation signal; Wherein this unsaturation motor message is the motor message less than this threshold value; This saturated motor message is the motor message greater than this threshold value; Wherein the step that this biomedicine signals compensates is comprised, from this comprises the biomedicine signals of noise, deduct the compensating signal that this unsaturation motor message obtains behind adaptive-filtering by this unsaturation motor message.
9, the method for motion compensation as claimed in claim 7, it is characterized in that, before this motor message and this threshold value are compared, also comprise a Signal Pretreatment step, be used for this motor message and biomedicine signals are carried out analog filtering, amplification and analog digital conversion.
10, the method for motion compensation as claimed in claim 8, it is characterized in that, when described motor message is the unsaturation motor message, the feedback input of the signal value after the compensation as adaptive-filtering, obtaining this compensating signal accurately, and finally obtain accurate output valve.
11, the method for motion compensation as claimed in claim 7 is characterized in that, described threshold value is the motor message value of the minimum that can cause that this biomedicine signals is saturated.
12, the method for motion compensation as claimed in claim 7 is characterized in that, if biomedicine signals is approximate periodic, the output valve of this buffer memory will be the signal of a complete cycle; When this motor message during greater than this threshold value, with the signal of corresponding time point in the periodic signal of pointwise ground output buffers up to this motor message less than this threshold value; If this motor message exceeds one-period greater than the persistent period of this threshold value, this output procedure will continue up to this motor message less than this threshold value so.
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