CN105224083A - A kind of information processing method and electronic equipment - Google Patents
A kind of information processing method and electronic equipment Download PDFInfo
- Publication number
- CN105224083A CN105224083A CN201510624889.5A CN201510624889A CN105224083A CN 105224083 A CN105224083 A CN 105224083A CN 201510624889 A CN201510624889 A CN 201510624889A CN 105224083 A CN105224083 A CN 105224083A
- Authority
- CN
- China
- Prior art keywords
- detection signal
- type
- predetermined condition
- instruction
- described detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a kind of information processing method and electronic equipment, described information processing method comprises: obtain the detection signal showing the physiological parameter information of detected person; Process described detection signal, obtain the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform described instruction.Said method provided by the invention, solves in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user.
Description
Technical field
The present invention relates to electronic technology field, particularly a kind of information processing method and electronic equipment.
Background technology
In the prior art, along with developing rapidly of science and technology, the performance of electronic equipment obtains and promotes energetically, and each class of electronic devices is also applied in the monitoring of all kinds of physiological parameter gradually, and the healthy living for people provides more how convenient, intelligent service.Such as: intelligent blood pressure device, passometer etc.In the prior art, the physiological parameter monitoring technology of Wearable device, by feat of not by the advantage that time, place and physiological activity limit, shows important using value gradually.But, because Wearable device can be subject to various interference in signal acquisition process, such as: Intelligent garment due to the activity of user may there is the coming off of electrode, intelligent watch may the phenomenon occurring loose contact etc.Therefore, in the intelligent monitor process of being carried out physiological parameter by Wearable device, easily there is signal because gathering inaccurate and misjudgment phenomenon occurs.So, there is the technical matters can not carrying out effectively monitoring to the physiological parameter of user in prior art.
Summary of the invention
The embodiment of the present invention provides a kind of information processing method and electronic equipment, for solving in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user.
The embodiment of the present invention provides a kind of information processing method on the one hand, comprising:
Obtain the detection signal showing the physiological parameter information of detected person;
Process described detection signal, obtain the characteristic information of described detection signal;
Based on described characteristic information, determine the type of described detection signal;
According to the type of described detection signal, obtain corresponding instruction;
Perform described instruction.
Optionally, the physiological parameter of the corresponding described detected person's circulation system of described physiological parameter information.
Optionally, described based on described characteristic information, determine the type of described detection signal, according to the type of described detection signal, obtain corresponding instruction, specifically comprise:
Based on described characteristic information, determine the type of described detection signal according to the first predetermined condition and the second predetermined condition;
When described detection signal is the first kind, obtain first instruction corresponding with the described first kind, described first instruction is at least for exporting information, and it is the described first kind that described information is used to indicate current detection signal;
When described detection signal is Second Type, obtain second instruction corresponding with described Second Type, described second instruction is used to indicate ignores described detection signal;
When described detection signal is the 3rd type, obtain three instruction corresponding with described 3rd type, described 3rd instruction is used for recording described detection signal.
Optionally, described based on described characteristic information, determine the type of described detection signal according to the first predetermined condition and described second predetermined condition, specifically comprise:
Based on described characteristic information, judge whether described detection signal meets described first predetermined condition;
When described detection signal meets described first predetermined condition, determine that described detection signal is the first potential type; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type;
When described detection signal is the first potential type, based on described characteristic information, judge whether described detection signal meets described second predetermined condition;
When described detection signal meets described second predetermined condition, determine that described detection signal is Second Type; When described detection signal does not meet described second predetermined condition, determine that described detection signal is the first kind.
Optionally, described first predetermined condition described detection signal is carried out to the process of the first dimension; Second predetermined condition described detection signal is carried out to the process of second dimension different from described first dimension; Wherein, the detection signal of the described first kind and the detection signal of described Second Type cannot carry out by described first dimension the detection signal distinguished.
Optionally, described based on described characteristic information, judge whether described detection signal meets described second predetermined condition, specifically comprises:
Obtain evaluation model for evaluating described detection signal validity, wherein, described evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal, N be greater than 1 integer;
Described characteristic information is inputted described evaluation model, obtain the Output rusults of described evaluation model, wherein, be used for showing that whether described detection signal is effective at described Output rusults, when described Output rusults shows that described detection signal is invalid, determine that described detection signal meets described second predetermined condition.
Optionally, after the Output rusults of the described evaluation model of described acquisition, described method also comprises:
Based on described Output rusults, described evaluation model is revised, using described revised evaluation model as being used for the model evaluating described detection signal validity.
The embodiment of the present invention provides a kind of electronic equipment on the other hand, comprising:
Sensing device, for gathering the detection signal showing that the physiological parameter information of detected person is corresponding;
Treating apparatus, for the treatment of described detection signal, obtains the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform described instruction.
Optionally, described electronic equipment also comprises:
Output unit, for exporting information according to the first instruction, it is the first kind that described information is used to indicate current detection signal, wherein, described first instruction is based on described characteristic information at described treating apparatus, when determining that the type of described detection signal is the first kind according to the first predetermined condition and the second predetermined condition, obtain and the instruction corresponding with the described first kind performed;
Memory storage, for detection signal described in foundation the 3rd instruction record, wherein, described 3rd instruction is based on described characteristic information at described treating apparatus, when determining that the type of described detection signal is the 3rd type according to the first predetermined condition and the second predetermined condition, obtain and the instruction corresponding with described 3rd type performed.
Optionally, described electronic equipment also comprises:
Body;
Fixed body, is connected with described body, for maintaining described electronic equipment and detected person's health relative position relation at least partially;
Wherein, described pick-up unit is arranged on the body and/or on described fixed body, and described treating apparatus is arranged on the body and/or on described fixed body.
Optionally, described fixed body at least has stationary state, under described stationary state, described fixing physical efficiency as an annulus at least partially, or described fixed body be satisfied first pre-conditioned proximate annular space at least partially; Wherein, to be centered around satisfied second pre-conditioned column peripheral described annulus or described proximate annular space.
The embodiment of the present invention provides a kind of electronic equipment on the other hand, comprising:
First obtains unit, for obtaining the detection signal of the physiological parameter information showing detected person;
Second obtains unit, for the treatment of described detection signal, obtains the characteristic information of described detection signal;
First determining unit, for based on described characteristic information, determines the type of described detection signal;
3rd obtains unit, for the type according to described detection signal, obtains corresponding instruction;
First performance element, for performing described instruction.
Above-mentioned one or more technical scheme in the embodiment of the present application, at least has one or more technique effects following:
Due in technical scheme in the embodiment of the present application, have employed the detection signal obtaining and show the physiological parameter information of detected person; Process described detection signal, obtain the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform the technological means of described instruction.Like this, electronic equipment can determine the type of detection signal according to the characteristic information of detection signal, and then carries out the process of different modes according to different types.Such as: when the detection signal that electronic equipment obtains is the signal be interfered, perform the instruction ignoring this signal; Or, when the detection signal that electronic equipment obtains is the signal needing prompting, perform the instruction etc. exporting information.So, efficiently solve in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user, realize the process carrying out different modes according to the type of the detection signal physiological parameter information showing user being detected, and then the health status of user is carried out to the technique effect of effectively monitoring.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present application or prior art, in describing embodiment below, the required accompanying drawing used is briefly described, and apparently, the accompanying drawing in the following describes is only some embodiments of the present invention.
Fig. 1 is the process flow diagram of information processing method in the embodiment of the present application one;
Fig. 2 is the structural drawing of a kind of electronic equipment in the embodiment of the present application two;
Fig. 3 is structural representation when electronic equipment is specially the Wearable of shape as intelligent watch in the embodiment of the present application two;
Fig. 3 a-Fig. 3 b is two kinds of structural representations that in the embodiment of the present application two, in electronic equipment, fixed body 302 is connected with the first connected mode with body 301;
Fig. 4 is the structural drawing of a kind of electronic equipment in the embodiment of the present application three.
Embodiment
The embodiment of the present invention provides a kind of information processing method and electronic equipment, for solving in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user.
For solving above-mentioned technical matters, the embodiment of the present invention provides a kind of information processing method, and general thought is as follows:
A kind of information processing method, comprising:
Obtain the detection signal showing the physiological parameter information of detected person;
Process described detection signal, obtain the characteristic information of described detection signal;
Based on described characteristic information, determine the type of described detection signal;
According to the type of described detection signal, obtain corresponding instruction;
Perform described instruction.
Due in technical scheme in the embodiment of the present application, have employed the detection signal obtaining and show the physiological parameter information of detected person; Process described detection signal, obtain the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform the technological means of described instruction.Like this, electronic equipment can determine the type of detection signal according to the characteristic information of detection signal, and then carries out the process of different modes according to different types.Such as: when the detection signal that electronic equipment obtains is the signal be interfered, perform the instruction ignoring this signal; Or, when the detection signal that electronic equipment obtains is the signal needing prompting, perform the instruction etc. exporting information.So, efficiently solve in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user, realize the process carrying out different modes according to the type of the detection signal physiological parameter information showing user being detected, and then the health status of user is carried out to the technique effect of effectively monitoring.
Below in conjunction with accompanying drawing, the main of the embodiment of the present application technical scheme is realized principle, embodiment and be explained in detail the beneficial effect that should be able to reach.
Embodiment one
In specific implementation process, this information processing method can be applicable in an electronic equipment, described electronic equipment has pick-up unit, as: EGC sensor or pulse transducer etc., for detecting the detection signal of the physiological parameter information showing detected person, this electronic equipment can be worn on wrist intelligent watch, be worn on the intelligent glasses of head, be worn on the Intelligent wearable equipment such as intelligent headring, Intelligent garment of head, also can be other electronic equipment, at this, just differing one schematically illustrates.
Please refer to Fig. 1, the embodiment of the present invention provides a kind of information processing method, comprising:
S101: obtain the detection signal showing the physiological parameter information of detected person;
S102: process described detection signal, obtains the characteristic information of described detection signal;
S103: based on described characteristic information, determines the type of described detection signal;
S104: according to the type of described detection signal, obtains corresponding instruction;
S105: perform described instruction.
Wherein, the physiological parameter of the corresponding described detected person's circulation system of described physiological parameter information; Described based on described characteristic information, determine the type of described detection signal, according to the type of described detection signal, obtain corresponding instruction, specifically comprise:
Based on described characteristic information, determine the type of described detection signal according to the first predetermined condition and the second predetermined condition;
When described detection signal is the first kind, obtain first instruction corresponding with the described first kind, described first instruction is at least for exporting information, and it is the described first kind that described information is used to indicate current detection signal;
When described detection signal is Second Type, obtain second instruction corresponding with described Second Type, described second instruction is used to indicate ignores described detection signal;
When described detection signal is the 3rd type, obtain three instruction corresponding with described 3rd type, described 3rd instruction is used for recording described detection signal.
Concrete, in the present embodiment, the detection signal obtaining and show the physiological parameter information of detected person is detected by the pick-up unit in electronic equipment, the physiological parameter of the corresponding described detected person's circulation system of described physiological parameter information, such as: for reacting the electrocardiosignal of detected person's blood circulation system.Concrete, EGC sensor is provided with in electronic equipment, EGC sensor, EGC sensor comprises the first electrode and the second electrode, first electrode contacts in order to the Part I of the health with measured, second electrode contacts in order to the Part II of the health with measured, and EGC sensor obtains the electrocardiosignal of measured by the first electrode and the second electrode, and this electrocardiosignal at least characterizes the bioelectricity change of measured; After obtaining electrocardiosignal by EGC sensor, ecg characteristics information is extracted from electrocardiosignal, as: shape information, malposition of electrode information, very noisy information, peak value degree and R ripple matching degree etc., the type of electrocardiosignal is determined according to the ecg characteristics information extracted.
In the present embodiment, the type of detection signal is determined mainly through the first predetermined condition in the characteristic information of detection signal and electronic equipment and the second predetermined condition, the instruction that three types detection signal is corresponding is prestored in electronic equipment, wherein, the first kind shows that detection signal is need output information to carry out the type of reporting to the police, and comprises the instruction for output alarm class information with the first instruction of the first kind.Such as: when detection signal is electrocardiosignal, according to the characteristic information of the electrocardiosignal extracted, the characteristic matching of the electrocardiosignal that this electrocardiosignal is corresponding with angiocardiopathy can be determined, now, user may be in the state of burst angiocardiopathy, therefore, need export information for point out the current detection of user to electrocardiosignal be the electrocardiosignal needing type of alarm.Meanwhile, Second Type shows that detection signal is inefficient type, and second instruction corresponding with Second Type is used to indicate electronic equipment ignores this detection signal.Such as: when being worn on the electrocardiosignal of intelligent watch detection user of wrist by user, due to the vigorous exercise of user, may occur that situation about coming off appears in the electrode contacted with user's body in EGC sensor, now, electrocardiosignal is invalid signal, can not reflect the real health status of user.So according to the characteristic information of the electrocardiosignal extracted, can determine this electrocardiosignal and the characteristic matching without acting type electrocardiosignal, now, this electrocardiosignal directly ignored by electronic equipment.3rd type shows that detection signal is without the need to type of alarm, and three instruction corresponding with the 3rd type is used to indicate electronic equipment record and preserves this detection signal.Such as: when being worn on the electrocardiosignal of intelligent watch detection user of wrist by user, user is in healthy state, so, according to the characteristic information of the electrocardiosignal extracted, this electrocardiosignal and the characteristic matching without the need to the electrocardiosignal of type of alarm can be determined, now, electronic equipment record preserve this electrocardiosignal.Therefore, by such mode, electronic equipment can determine the type of detection signal according to the characteristic information of detection signal, and then carries out the process of different modes according to different types.So, efficiently solve in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user, realize the process carrying out different modes according to the type of the detection signal physiological parameter information showing user being detected, and then the health status of user is carried out to the technique effect of effectively monitoring.
Further, in the present embodiment, step: based on described characteristic information, determines the type of described detection signal, can comprise the steps: in implementation procedure according to the first predetermined condition and described second predetermined condition
Based on described characteristic information, judge whether described detection signal meets described first predetermined condition;
When described detection signal meets described first predetermined condition, determine that described detection signal is the first potential type; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type;
When described detection signal is the first potential type, based on described characteristic information, judge whether described detection signal meets described second predetermined condition;
When described detection signal meets described second predetermined condition, determine that described detection signal is Second Type; When described detection signal does not meet described second predetermined condition, determine that described detection signal is the first kind.
Wherein, described first predetermined condition described detection signal is carried out to the process of the first dimension; Second predetermined condition described detection signal is carried out to the process of second dimension different from described first dimension; Wherein, the detection signal of the described first kind and the detection signal of described Second Type cannot carry out by described first dimension the detection signal distinguished.
Concrete, in the present embodiment, the first predetermined condition and the second predetermined condition is prestored in electronic equipment, wherein, first predetermined condition is described detection signal is carried out to the process of the first dimension, such as: by the category-A feature of detection signal with need the feature of warning class signal to carry out mating to verify, determine whether detection signal is needs warning class signal.Such as: when detection signal is electrocardiosignal, to current detection to electrocardiosignal carry out wave test, as: P ripple, QRS ripple, T ripple etc., and then whether be the signal needing warning class that heart disease is corresponding according to waveform character determination electrocardiosignal, as: the electrocardiosignal of the types such as arrhythmia cordis, ventricular atrial hypertrophy, miocardial infarction, arrhythmia cordis, myocardial ischemia.Second predetermined condition is described detection signal is carried out to the process of the second dimension, such as: by the category-B feature of detection signal with have the feature of acting type signal to carry out mating to verify, determine whether detection signal is effective signal.Such as: when detection signal is electrocardiosignal, extract the malposition of electrode information of electrocardiosignal, very noisy information, peak value degree and R ripple matching degree, and then whether be effective electrocardiosignal according to these characteristic information determination current detection electrocardiosignals.As can be seen here, can only determine whether detection signal needs the signal of reporting to the police by means of only the first predetermined condition, as the signal of disease class, can not verify that whether it is effective, and then can not determine whether detection signal is the detection signal needing the first kind of reporting to the police.
Thus, in the present embodiment, when determining the type of detection signal, first based on the characteristic information of detection signal, judging detection signal whether first predetermined condition, that is: determining whether detection signal is the signal needing warning class.When determine detection signal not first predetermined condition time, then this detection signal shows that user is in healthy state, and electronic equipment without fail detection signal is the 3rd type, and now, electronic equipment only needs to record and preserves this detection signal.When electronic equipment determination detection signal first predetermined condition, show that this detection signal is the signal needing warning class, owing to can not be determined by the first predetermined condition whether detection signal is the first kind, that is, cannot confirm whether detection signal is need to export the signal that information carries out alarm by the first predetermined condition, whether what electronic equipment also needed to check this detection signal is invalid signals, and then could confirm whether detection signal is need to export the signal that information carries out alarm.So, electronic equipment is based on the characteristic information of detection signal, judge detection signal whether second predetermined condition, and then determine detection signal not second predetermined condition time, determine that detection signal is the first kind, namely, detection signal is need warning class and signal for effectively not receiving interference, now, electronic equipment obtains the first instruction of the output information corresponding with first kind detection signal, and then when execution the first instruction, user's current detection signal can be pointed out to be the signal needing type of alarm.When electronic equipment determination detection signal second predetermined condition, determine that detection signal is Second Type, namely, although detection signal is for needing the signal of warning class, but it is actual is invalid signals after being interfered, if now electronic equipment still exports information, then there will be the situation of false alarm, so this detection signal directly ignored by electronic equipment.
In specific implementation process, electronic equipment, when determining the type of detection signal, can also realize as follows:
Based on described characteristic information, judge whether described detection signal meets described second predetermined condition;
When described detection signal does not meet described second predetermined condition, determine that described detection signal is the first potential type; When described detection signal meets described second predetermined condition, determine that described detection signal is Second Type;
When described detection signal is the first potential type, based on described characteristic information, judge whether described detection signal meets described first predetermined condition;
When described detection signal meets described first predetermined condition, determine that described detection signal is the first kind; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type.
Thus, in the present embodiment, when determining the type of detection signal, first based on the characteristic information of detection signal, judge detection signal whether second predetermined condition, that is: whether what check this detection signal is invalid signals, when determining detection signal second predetermined condition, determine that detection signal is the invalid signals of Second Type, this detection signal directly ignored by electronic equipment.When determine detection signal not second predetermined condition time, electronic equipment determines that this detection signal is useful signal, now, electronic equipment also needs to determine whether this detection signal is the signal needing warning class further, so electronic equipment also needs to judge detection signal whether first predetermined condition, when determine detection signal not first predetermined condition time, then this detection signal shows that user is in healthy state, and now, electronic equipment only needs to record and preserves this detection signal.When electronic equipment determination detection signal first predetermined condition, determine that detection signal is the first kind, show that this detection signal is need warning class and signal for effectively not receiving interference, now, electronic equipment obtains the first instruction of the output information corresponding with first kind detection signal, and then when execution the first instruction, user's current detection signal can be pointed out to be the signal needing type of alarm.
By such mode, electronic equipment is when determining whether detection signal is the first kind, need to carry out double judgement, such as: determine the feature of detection signal satisfy the demand export information first pre-conditioned time, also need to judge whether this detection signal is effective for showing the signal of user's physiological parameter information, just can perform the instruction exporting information after determining.So, when the signal because detecting can be avoided to be the signal be interfered, triggering the situation of false alarm, achieving the technique effect physiological parameter information for reacting health state of user being carried out to effectively monitoring.
Further, in the present embodiment, step: based on described characteristic information, judges whether described detection signal meets described second predetermined condition, comprises the steps: in specific implementation process
Obtain evaluation model for evaluating described detection signal validity, wherein, described evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal, N be greater than 1 integer;
Described characteristic information is inputted described evaluation model, obtain the Output rusults of described evaluation model, wherein, be used for showing that whether described detection signal is effective at described Output rusults, when described Output rusults shows that described detection signal is invalid, determine that described detection signal meets described second predetermined condition.
In order to make evaluation model more accurate, after the Output rusults obtaining described evaluation model, based on described Output rusults, described evaluation model is revised, using described revised evaluation model as being used for the model evaluating described detection signal validity.
Concrete, in the present embodiment, be preset with the evaluation model for evaluating detection signal validity in electronic equipment, this evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal.Such as: be electrocardiosignal at detection signal, when evaluating the validity of electrocardiosignal, 1000 12 island standard cardioelectric sample of signal collection are obtained from ecg signal data storehouse, 773 electrocardiosignals are had to be effective electrocardiosignal in these 1000 12 island standard cardioelectric signals, 225 electrocardiosignals are had to be invalid electrocardiosignal, extract the malposition of electrode information of each electrocardiosignal in this electrocardiosignal sample set, very noisy information, kurtosis value, R ripple detects arbitrary one or more characteristic information that can reflect electrocardiosignal quality in matching degree these 4, and then by malposition of electrode information, very noisy information, kurtosis value, in R ripple detection matching degree these 4, arbitrary one or more feature is as SVM (SupportVectorMachine, support vector machine) input of model, correspondence be there will be a known the output of electrocardiosignal as SVM of validity, to this SVM model training.And then, when electrocardiosignal being detected, extract arbitrary one or more feature in the malposition of electrode information of this electrocardiosignal, very noisy information, kurtosis value, R ripple detection matching degree these 4, inputted the SVM model trained, the Output rusults obtained is the validity result of this electrocardiosignal.Thus, when the Output rusults that evaluation model is corresponding shows that detection signal is invalid, detection signal second predetermined condition can be determined.Further, in order to make evaluation model more accurate, by evaluation model obtain detection signal corresponding Output rusults after, can this detection signal be added in the training sample of evaluation model, and then according to the training sample after renewal to evaluation model training, obtain revised evaluation model.In specific implementation process, evaluate the model that can also adopt other types, as: neural network model, decision-tree model etc., at this, the application is not restricted.
By such mode, electronic equipment, when carrying out detection signal effective evaluation, is evaluated detection signal by the evaluation model adopting machine learning to obtain, and then obtains the evaluation result corresponding with detection signal.The evaluation model obtained by machine learning can be evaluated detection signal more exactly, obtains evaluation result accurately.So, achieve and Accurate classification is carried out to the detection signal for showing user's physiological parameter information, and then, ensure that and the physiological parameter information for reacting health state of user is effectively guarded.
Embodiment two
Please refer to Fig. 2, the embodiment of the present application also provides a kind of electronic equipment, comprising:
Sensing device 201, for gathering the detection signal showing that the physiological parameter information of detected person is corresponding;
Treating apparatus 202, for the treatment of described detection signal, obtains the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform described instruction.
Optionally, described electronic equipment also comprises:
Output unit, for exporting information according to the first instruction, it is the first kind that described information is used to indicate current detection signal, wherein, described first instruction is based on described characteristic information at described treating apparatus, when determining that the type of described detection signal is the first kind according to the first predetermined condition and the second predetermined condition, obtain and the instruction corresponding with the described first kind performed;
Memory storage, for detection signal described in foundation the 3rd instruction record, wherein, described 3rd instruction is based on described characteristic information at described treating apparatus, when determining that the type of described detection signal is the 3rd type according to the first predetermined condition and the second predetermined condition, obtain and the instruction corresponding with described 3rd type performed.
Concrete, in the present embodiment, when treating apparatus determination detection signal is the first kind, treating apparatus obtains first instruction corresponding with the first kind, and the first instruction being sent to the output unit of electronic equipment, this output unit exports information after performing this first instruction.Concrete, output unit can be can be vibration prompting device or sound prompt device etc.When output unit receives the first instruction that treating apparatus sends, output unit can carry out pointing out in the mode of vibration or the mode of voice is pointed out.In specific implementation process, the type of output unit can be arranged according to actual needs, and at this, the application does not limit.Further, when treating apparatus determination detection signal is the 3rd type, treating apparatus obtains three instruction corresponding with the 3rd type, and the 3rd instruction is sent to the memory storage of electronic equipment, and this memory storage stores detection signal after performing the 3rd instruction.This memory storage can be in ROM, RAM, hard disk, floppy disk, tape, core memory any or multiple, can also be the memory storage of other types, illustrate no longer one by one at this.
In the embodiment of the present application, it is enough little that the sensing device 201 in described electronic equipment can design, and for this reason, sensing device 201 can be arranged in a Wearable, further increase the portability of equipment.When described electronic equipment is specially Wearable, please refer to shown in Fig. 3, described electronic equipment also comprises:
Body 301;
Fixed body 302, is connected with body 301, for maintaining described electronic equipment and detected person's health relative position relation at least partially;
Wherein, sensing device 201 is arranged on body 301 and/or on fixed body 302, and treating apparatus 202 is arranged on body 301 and/or on fixed body 302.
When described Wearable is specially Wrist belt-type equipment, sensing device 201 is arranged on body 301 and/or on fixed body 302, and fixed body 302 is for maintaining the relative position relation between described Wrist belt-type equipment and detected person's wrist;
Wherein, fixed body 302 at least has stationary state, and under described stationary state, described fixed body 302 can as an annulus at least partially, or described fixed body 302 is meet the first pre-conditioned proximate annular space at least partially; Wherein, to be centered around satisfied second pre-conditioned column peripheral described annulus or described proximate annular space.
In the embodiment of the present application, fixed body 302 at least has stationary state, and that is, fixed body 302 can be stationary state, also can be transitory state.Give a concrete illustration, when described electronic equipment is specially the Wearable of shape as intelligent watch, fixed body 302 is the band portion of this equipment, and body 301 is the dial plate part of this equipment, as shown in Figure 3.And fixed body 302 be one overall time, fixed body 302 only has stationary state, and when fixed body 302 is made up of the part that two are separated, fixed body 302 has stationary state and transitory state.Such as, shape as the watchband of intelligent watch by table link connect time, fixed body 302 is stationary state, table button disconnect time, fixed body 302 is transitory state.If bracelet-shaped fixed body 302, then now fixed body 302 just only has stationary state.
In specific implementation process, fixed body 302 and body 301 have following two kinds of connected modes, but are not limited only in following two kinds of connected modes, and those of ordinary skill in the art can design according to concrete needs.
The first connected mode: fixed body 302 is connected with (on the contrary) two ends of body 301, makes described fixed body be the part in ring-type/proximate annular space; Concrete, the part that fixed body 302 can separate by two forms, and also can be an entirety, as shown in Figure 3 a and Figure 3 b shows.
The second connected mode: fixed body 302 itself forms a ring-type/proximate annular space, and body 301 is arranged on fixed body 302 outside surface, face contact (connection).
In specific implementation process, for the fixed body 302 of shape as the Wearable of intelligent ring, itself just can form ring-type/proximate annular space.
In addition, in the embodiment of the present application, fixed body 302 can offer opening, but described opening needs the bore being less than column.Described column can be wrist, can also be arm, or finger etc., just do not repeat one by one at this.
Further, in the embodiment of the present application, in order to by relatively fixing to described annulus or described proximate annular space (or around) in the periphery of column, described column need meet second pre-conditioned.This second pre-conditioned bore being described column and being less than described annulus or described proximate annular space.Meeting under described second pre-conditioned prerequisite, in order to realize described annulus or can be relatively fixing between described proximate annular space and described column, the bore at the two ends of described column will be greater than the bore in described annulus or described proximate annular space respectively, and the bore of described column between described two ends is less than the bore in described annulus or described proximate annular space.Give a concrete illustration, shape as the Wearable of intelligent watch and as described in column be the arm of user time, on the arm being relatively fixed on user to enable this Wearable and not landing, the bore at these arm two ends is just greater than the bore of this Wearable annulus, and centre is less than the bore of this Wearable annulus.For another example, if Wrist belt-type equipment will be enable relatively to be fixed on the wrist place of user, the bore of this wrist place end just needs the bore being greater than this Wrist belt-type equipment.
Embodiment three
Please refer to Fig. 4, the embodiment of the present application also provides a kind of electronic equipment, comprising:
First obtains unit 401, for obtaining the detection signal of the physiological parameter information showing detected person;
Second obtains unit 402, for the treatment of described detection signal, obtains the characteristic information of described detection signal;
First determining unit 403, for based on described characteristic information, determines the type of described detection signal;
3rd obtains unit 404, for the type according to described detection signal, obtains corresponding instruction;
First performance element 405, for performing described instruction.
Optionally, the physiological parameter of the corresponding described detected person's circulation system of described physiological parameter information.
Optionally, described first determining unit specifically comprises:
First determination module, for based on described characteristic information, determines the type of described detection signal according to the first predetermined condition and the second predetermined condition.
Optionally, described 3rd acquisition unit specifically comprises:
First obtains module, and for when described detection signal is the first kind, obtain first instruction corresponding with the described first kind, described first instruction is at least for exporting information, and it is the described first kind that described information is used to indicate current detection signal;
Second obtains module, and for when described detection signal is Second Type, obtain second instruction corresponding with described Second Type, described second instruction is used to indicate ignores described detection signal;
3rd obtains module, and for when described detection signal is the 3rd type, obtain three instruction corresponding with described 3rd type, described 3rd instruction is used for recording described detection signal.
Optionally, described first determination module specifically comprises:
First judges submodule, for based on described characteristic information, judges whether described detection signal meets described first predetermined condition;
First determines submodule, for when described detection signal meets described first predetermined condition, determines that described detection signal is the first potential type; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type;
Second judges submodule, for when described detection signal is the first potential type, based on described characteristic information, judges whether described detection signal meets described second predetermined condition;
Second determines submodule, for when described detection signal meets described second predetermined condition, determines that described detection signal is Second Type; When described detection signal does not meet described second predetermined condition, determine that described detection signal is the first kind.
Optionally, described first predetermined condition described detection signal is carried out to the process of the first dimension; Second predetermined condition described detection signal is carried out to the process of second dimension different from described first dimension; Wherein, the detection signal of the described first kind and the detection signal of described Second Type cannot carry out by described first dimension the detection signal distinguished.
Optionally, described second judges that submodule specifically comprises:
First obtains subelement, and for obtaining the evaluation model for evaluating described detection signal validity, wherein, described evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal, N be greater than 1 integer;
Second obtains subelement, for described characteristic information is inputted described evaluation model, obtain the Output rusults of described evaluation model, wherein, be used for showing that whether described detection signal is effective at described Output rusults, when described Output rusults shows that described detection signal is invalid, determine that described characteristic information meets described second pre-conditioned.
Optionally, described second judges that submodule also comprises:
Second revises subelement, for after the Output rusults obtaining described evaluation model, based on described Output rusults, revises described evaluation model, using described revised evaluation model as being used for the model evaluating described detection signal validity.
By the one or more technical schemes in the embodiment of the present application, following one or more technique effect can be realized:
1, due in technical scheme in the embodiment of the present application, have employed the detection signal obtaining and show the physiological parameter information of detected person; Process described detection signal, obtain the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform the technological means of described instruction.Like this, electronic equipment can determine the type of detection signal according to the characteristic information of detection signal, and then carries out the process of different modes according to different types.Such as: when the detection signal that electronic equipment obtains is the signal be interfered, perform the instruction ignoring this signal; Or, when the detection signal that electronic equipment obtains is the signal needing prompting, perform the instruction etc. exporting information.So, efficiently solve in prior art the technical matters existing and can not carry out effectively monitoring to the physiological parameter of user, realize the process carrying out different modes according to the type of the detection signal physiological parameter information showing user being detected, and then the health status of user is carried out to the technique effect of effectively monitoring.
2, due in technical scheme in the embodiment of the present application, have employed based on described characteristic information, judge whether described detection signal meets described first predetermined condition; When described detection signal meets described first predetermined condition, determine that described detection signal is the first potential type; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type; When described detection signal is the first potential type, based on described characteristic information, judge whether described detection signal meets described second predetermined condition; When described detection signal meets described second predetermined condition, determine that described detection signal is Second Type; When described detection signal does not meet described second predetermined condition, determine that described detection signal is the technological means of the first kind.Like this, electronic equipment is when determining whether detection signal is the first kind, need to carry out double judgement, such as: determine the feature of detection signal satisfy the demand export information first pre-conditioned time, also need to judge whether this detection signal is effective for showing the signal of user's physiological parameter information, just can perform the instruction exporting information after determining.So, when the signal because detecting can be avoided to be the signal be interfered, triggering the situation of false alarm, achieving the technique effect physiological parameter information for reacting health state of user being carried out to effectively monitoring.
3, due in technical scheme in the embodiment of the present application, have employed the evaluation model obtained for evaluating described detection signal validity, wherein, described evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal, N be greater than 1 integer; Described characteristic information is inputted described evaluation model, obtain the Output rusults of described evaluation model, wherein, be used for showing that whether described detection signal is effective at described Output rusults, when described Output rusults shows that described detection signal is invalid, determine that described characteristic information meets described second pre-conditioned technological means.Like this, electronic equipment, when carrying out detection signal effective evaluation, is evaluated detection signal by the evaluation model adopting machine learning to obtain, and then obtains the evaluation result corresponding with detection signal.The evaluation model obtained by machine learning can be evaluated detection signal more exactly, obtains evaluation result accurately.So, achieve and Accurate classification is carried out to the detection signal for showing user's physiological parameter information, and then, ensure that and the physiological parameter information for reacting health state of user is effectively guarded.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Specifically, the computer program instructions that information processing method in the embodiment of the present application is corresponding can be stored in CD, hard disk, on the storage mediums such as USB flash disk, read by an electronic equipment when the computer program instructions corresponding with information processing method in storage medium or when being performed, comprise the steps:
Obtain the detection signal showing the physiological parameter information of detected person;
Process described detection signal, obtain the characteristic information of described detection signal;
Based on described characteristic information, determine the type of described detection signal;
According to the type of described detection signal, obtain corresponding instruction;
Perform described instruction.
Optionally, the physiological parameter of the corresponding described detected person's circulation system of described physiological parameter information.
Optionally, that store in described storage medium and step: based on described characteristic information, determine the type of described detection signal, according to the type of described detection signal, obtaining corresponding computer program instructions when being performed, specifically comprising the steps:
Based on described characteristic information, determine the type of described detection signal according to the first predetermined condition and the second predetermined condition;
When described detection signal is the first kind, obtain first instruction corresponding with the described first kind, described first instruction is at least for exporting information, and it is the described first kind that described information is used to indicate current detection signal;
When described detection signal is Second Type, obtain second instruction corresponding with described Second Type, described second instruction is used to indicate ignores described detection signal;
When described detection signal is the 3rd type, obtain three instruction corresponding with described 3rd type, described 3rd instruction is used for recording described detection signal.
Optionally, that store in described storage medium and step: based on described characteristic information, determine that computer program instructions corresponding to the type of described detection signal is when being performed, and specifically comprises the steps: according to the first predetermined condition and described second predetermined condition
Based on described characteristic information, judge whether described detection signal meets described first predetermined condition;
When described detection signal meets described first predetermined condition, determine that described detection signal is the first potential type; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type;
When described detection signal is the first potential type, based on described characteristic information, judge whether described detection signal meets described second predetermined condition;
When described detection signal meets described second predetermined condition, determine that described detection signal is Second Type; When described detection signal does not meet described second predetermined condition, determine that described detection signal is the first kind.
Optionally, described first predetermined condition described detection signal is carried out to the process of the first dimension; Second predetermined condition described detection signal is carried out to the process of second dimension different from described first dimension; Wherein, the detection signal of the described first kind and the detection signal of described Second Type cannot carry out by described first dimension the detection signal distinguished.
Optionally, that store in described storage medium and step: based on described characteristic information, judge whether described detection signal meets computer program instructions corresponding to described second predetermined condition when being performed, and specifically comprises the steps:
Obtain evaluation model for evaluating described detection signal validity, wherein, described evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal, N be greater than 1 integer;
Described characteristic information is inputted described evaluation model, obtain the Output rusults of described evaluation model, wherein, be used for showing that whether described detection signal is effective at described Output rusults, when described Output rusults shows that described detection signal is invalid, determine that described characteristic information meets described second pre-conditioned.
Optionally, other computer program instructions is also stored in described storage medium, this other computer program instructions with step: obtain after computer program instructions corresponding to the Output rusults of described evaluation model is performed and be performed, comprise the steps: in implementation
Based on described Output rusults, described evaluation model is revised, using described revised evaluation model as being used for the model evaluating described detection signal validity.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (12)
1. an information processing method, comprising:
Obtain the detection signal showing the physiological parameter information of detected person;
Process described detection signal, obtain the characteristic information of described detection signal;
Based on described characteristic information, determine the type of described detection signal;
According to the type of described detection signal, obtain corresponding instruction;
Perform described instruction.
2. the method for claim 1, is characterized in that, the physiological parameter of the corresponding described detected person's circulation system of described physiological parameter information.
3. the method for claim 1, is characterized in that, described based on described characteristic information, determines the type of described detection signal, according to the type of described detection signal, obtains corresponding instruction, specifically comprises:
Based on described characteristic information, determine the type of described detection signal according to the first predetermined condition and the second predetermined condition;
When described detection signal is the first kind, obtain first instruction corresponding with the described first kind, described first instruction is at least for exporting information, and it is the described first kind that described information is used to indicate current detection signal;
When described detection signal is Second Type, obtain second instruction corresponding with described Second Type, described second instruction is used to indicate ignores described detection signal;
When described detection signal is the 3rd type, obtain three instruction corresponding with described 3rd type, described 3rd instruction is used for recording described detection signal.
4. method as claimed in claim 3, is characterized in that, described based on described characteristic information, determines the type of described detection signal, specifically comprise according to the first predetermined condition and described second predetermined condition:
Based on described characteristic information, judge whether described detection signal meets described first predetermined condition;
When described detection signal meets described first predetermined condition, determine that described detection signal is the first potential type; When described detection signal does not meet described first predetermined condition, determine that described detection signal is the 3rd type;
When described detection signal is the first potential type, based on described characteristic information, judge whether described detection signal meets described second predetermined condition;
When described detection signal meets described second predetermined condition, determine that described detection signal is Second Type; When described detection signal does not meet described second predetermined condition, determine that described detection signal is the first kind.
5. method as claimed in claim 4, it is characterized in that, described first predetermined condition described detection signal is carried out to the process of the first dimension; Second predetermined condition described detection signal is carried out to the process of second dimension different from described first dimension; Wherein, the detection signal of the described first kind and the detection signal of described Second Type cannot carry out by described first dimension the detection signal distinguished.
6. the method as described in claim 4 or 5, is characterized in that, described based on described characteristic information, judges whether described detection signal meets described second predetermined condition, specifically comprises:
Obtain evaluation model for evaluating described detection signal validity, wherein, described evaluation model is the evaluation model obtained after training with preset model based on known whether effective N number of detection signal, N be greater than 1 integer;
Described characteristic information is inputted described evaluation model, obtain the Output rusults of described evaluation model, wherein, be used for showing that whether described detection signal is effective at described Output rusults, when described Output rusults shows that described detection signal is invalid, determine that described detection signal meets described second predetermined condition.
7. method as claimed in claim 6, it is characterized in that, after the Output rusults of the described evaluation model of described acquisition, described method also comprises:
Based on described Output rusults, described evaluation model is revised, using described revised evaluation model as being used for the model evaluating described detection signal validity.
8. an electronic equipment, comprising:
Sensing device, for gathering detection signal corresponding to physiological parameter information;
Treating apparatus, for the treatment of described detection signal, obtains the characteristic information of described detection signal; Based on described characteristic information, determine the type of described detection signal; According to the type of described detection signal, obtain corresponding instruction; Perform described instruction.
9. electronic equipment as claimed in claim 8, it is characterized in that, described electronic equipment also comprises:
Output unit, for exporting information according to the first instruction, it is the first kind that described information is used to indicate current detection signal, wherein, described first instruction is based on described characteristic information at described treating apparatus, when determining that the type of described detection signal is the first kind according to the first predetermined condition and the second predetermined condition, obtain and the instruction corresponding with the described first kind performed;
Memory storage, for detection signal described in foundation the 3rd instruction record, wherein, described 3rd instruction is based on described characteristic information at described treating apparatus, when determining that the type of described detection signal is the 3rd type according to the first predetermined condition and the second predetermined condition, obtain and the instruction corresponding with described 3rd type performed.
10. electronic equipment as claimed in claim 8 or 9, it is characterized in that, described electronic equipment also comprises:
Body;
Fixed body, is connected with described body, for maintaining described electronic equipment and detected person's health relative position relation at least partially;
Wherein, described pick-up unit is arranged on the body and/or on described fixed body, and described treating apparatus is arranged on the body and/or on described fixed body.
11. electronic equipments as claimed in claim 10, it is characterized in that, described fixed body at least has stationary state, under described stationary state, described fixing physical efficiency as an annulus at least partially, or described fixed body be satisfied first pre-conditioned proximate annular space at least partially; Wherein, to be centered around satisfied second pre-conditioned column peripheral described annulus or described proximate annular space.
12. 1 kinds of electronic equipments, comprising:
First obtains unit, for obtaining the detection signal of the physiological parameter information showing detected person;
Second obtains unit, for the treatment of described detection signal, obtains the characteristic information of described detection signal;
First determining unit, for based on described characteristic information, determines the type of described detection signal;
3rd obtains unit, for the type according to described detection signal, obtains corresponding instruction;
First performance element, for performing described instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510624889.5A CN105224083B (en) | 2015-09-25 | 2015-09-25 | A kind of information processing method and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510624889.5A CN105224083B (en) | 2015-09-25 | 2015-09-25 | A kind of information processing method and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105224083A true CN105224083A (en) | 2016-01-06 |
| CN105224083B CN105224083B (en) | 2018-08-31 |
Family
ID=54993108
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510624889.5A Active CN105224083B (en) | 2015-09-25 | 2015-09-25 | A kind of information processing method and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105224083B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105797348A (en) * | 2016-03-09 | 2016-07-27 | 成都艾德沃传感技术有限公司 | Method for detecting movement type of object and wearable electronic device |
| CN108013875A (en) * | 2016-10-28 | 2018-05-11 | 深圳市理邦精密仪器股份有限公司 | Electrocardioelectrode comes off monitoring device and its detection method |
| CN109117769A (en) * | 2018-07-31 | 2019-01-01 | 东南大学 | A kind of real-time quality assessment feedback method for wearing type electrocardiogram acquisition |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2044473U (en) * | 1988-12-24 | 1989-09-20 | 沈仲元 | Portable intellegent electrocardiogram monitor |
| CN2843337Y (en) * | 2005-02-04 | 2006-12-06 | 周常安 | Wearable physiological signal is measured and the transmission system |
| CN101637383A (en) * | 2008-08-01 | 2010-02-03 | 深圳市新元素医疗技术开发有限公司 | Method, system and mobile terminal for monitoring electrocardiosignal |
| CN102770063A (en) * | 2010-02-25 | 2012-11-07 | 夏普株式会社 | Physiological signal quality classification methods and systems for ambulatory monitoring |
| US20130265437A1 (en) * | 2012-04-09 | 2013-10-10 | Sony Mobile Communications Ab | Content transfer via skin input |
| US20150182160A1 (en) * | 2013-12-30 | 2015-07-02 | Samsung Electronics Co., Ltd. | Function operating method based on biological signals and electronic device supporting the same |
| CN104783782A (en) * | 2015-04-13 | 2015-07-22 | 深圳市飞马与星月科技研究有限公司 | Automatic detection method and device for electrocardiosignals |
-
2015
- 2015-09-25 CN CN201510624889.5A patent/CN105224083B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2044473U (en) * | 1988-12-24 | 1989-09-20 | 沈仲元 | Portable intellegent electrocardiogram monitor |
| CN2843337Y (en) * | 2005-02-04 | 2006-12-06 | 周常安 | Wearable physiological signal is measured and the transmission system |
| CN101637383A (en) * | 2008-08-01 | 2010-02-03 | 深圳市新元素医疗技术开发有限公司 | Method, system and mobile terminal for monitoring electrocardiosignal |
| CN102770063A (en) * | 2010-02-25 | 2012-11-07 | 夏普株式会社 | Physiological signal quality classification methods and systems for ambulatory monitoring |
| US20130265437A1 (en) * | 2012-04-09 | 2013-10-10 | Sony Mobile Communications Ab | Content transfer via skin input |
| US20150182160A1 (en) * | 2013-12-30 | 2015-07-02 | Samsung Electronics Co., Ltd. | Function operating method based on biological signals and electronic device supporting the same |
| CN104783782A (en) * | 2015-04-13 | 2015-07-22 | 深圳市飞马与星月科技研究有限公司 | Automatic detection method and device for electrocardiosignals |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105797348A (en) * | 2016-03-09 | 2016-07-27 | 成都艾德沃传感技术有限公司 | Method for detecting movement type of object and wearable electronic device |
| CN105797348B (en) * | 2016-03-09 | 2019-04-05 | 成都艾德沃传感技术有限公司 | A kind of method and wearable electronic equipment of detection object type of sports |
| CN108013875A (en) * | 2016-10-28 | 2018-05-11 | 深圳市理邦精密仪器股份有限公司 | Electrocardioelectrode comes off monitoring device and its detection method |
| CN109117769A (en) * | 2018-07-31 | 2019-01-01 | 东南大学 | A kind of real-time quality assessment feedback method for wearing type electrocardiogram acquisition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105224083B (en) | 2018-08-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102378099B1 (en) | Wearing detection method, apparatus, chip, device and storage medium | |
| CN107714024B (en) | Method, system and apparatus for monitoring cardiac activity | |
| RU2016143170A (en) | SYSTEM AND METHOD FOR DETECTING CHANGE IN USER'S HEART RATE | |
| US10172519B2 (en) | Biosignal transmitter, biosignal receiver, and method of transmitting and receiving biosignal | |
| CN108209947B (en) | Rehabilitation and health-care assessment method and device | |
| US9113837B2 (en) | Drowsiness detection method and associated device | |
| CN105722454A (en) | Pregnancy monitoring system and method | |
| EP3258453A1 (en) | System and method for sensing environmental conditions and alerting a user in response | |
| CN103941874A (en) | Identification method and device | |
| CN110831494A (en) | Analysis of phonocardiogram data and electrocardiogram data from a portable sensor device | |
| US20200375474A1 (en) | Analysing electrocardiogram data from a remote portable sensor device | |
| CN105224083A (en) | A kind of information processing method and electronic equipment | |
| CN107403143A (en) | A kind of gait recognition method and electronic equipment | |
| Kaisti et al. | Wearable pressure sensor array for health monitoring | |
| CN104464191A (en) | Falling identification method, device and system | |
| CN110037688A (en) | A kind of method and custodial care facility of physiological data collection | |
| CN112957018A (en) | Heart state detection method and device based on artificial intelligence | |
| CN110811583B (en) | Heart rate monitoring method and device, electronic equipment and computer readable storage medium | |
| KR20190103626A (en) | A portable ECG electrode and an ECG measurement system for small animals | |
| KR102154902B1 (en) | Heart monitoring method | |
| KR101641643B1 (en) | Method and Apparatus for Body State Recognition using the Impedance Charateristic Enhanced Electorde | |
| KR20100076136A (en) | Apparatus for recognizing biometric informations | |
| CN104287702A (en) | Female pregnancy characteristic monitoring system and method based on wristband | |
| TWM604614U (en) | Physiological detection and measurement device | |
| CN107019499A (en) | Contactless health evaluating and suggesting system for wearing and its method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |