TW201709138A - Raw data capture device - Google Patents

Abstract

A Raw Data Capture Device includes a primary MCU, a secondary MCU, a memory member, a HCI, a wireless communication member and a power circuit. The power circuit supplies power to the primary and secondary MCUs; the primary MCU connects with the secondary MCU, the wireless communication member and the HCI. At least one algorithm is provided in the primary MCU rather than the secondary one. The secondary MCU captures bio-signals originally from a feature sensor, which is attached to a living being, and outputs the raw data, which corresponds to the bio-signals, to the memory member for temporary storage. When an idle event is called in the primary MCU, the algorithm idles. Alternatively, when an awaken event is called in the primary MCU, the raw data, which is previously accumulated in the memory member, is completely collected by the primary MCU, and the algorithm is activated from idling to process the collected raw data into information, which conveys bio-features of the living being. The information is capable of delivery via HCI or the wireless communication member.

Description

Raw data capture device

The invention relates to a data operation device, in particular to a data acquisition and calculation device.

A traditional wearable device for monitoring heart beats, in which two micro-processing modules are usually provided, and two micro-processing modules are electrically connected to each other; the first micro-processing module is electrically connected to at least one heartbeat sensor, and the second micro-processing module is The first micro processing module is electrically connected, and the second micro processing module is further connected to the display unit. When the heartbeat monitoring is to be performed, the two micro-processing modules are simultaneously driven, and the first micro-processing module obtains the signal of the heartbeat sensor and immediately calculates the signal, and then transmits the signal to the second micro-processing module and its display unit for use. Visually.

Since the traditional monitoring heartbeat is a real-time calculation, the first micro-processing module performs a heartbeat algorithm every time a heartbeat signal is received. However, the code of the heartbeat algorithm is relatively complicated and causes relatively high power consumption; 60 to 100 beats per minute for adults to rest, indicating that the first microprocessor module will perform 60 to 100 calculations per minute. Power consumption, it can be expected that the power consumption of such continuous measurement of heart beat will be considerable. In addition, if continuous monitoring is required for 24 hours, only a single first microprocessor module can operate, and the overall power of the wearable device can be quickly consumed; once the overall power is exhausted, the heartbeat will no longer be monitored. Because of this, it is limited by the lack of traditional monitoring heartbeat, and it is only when the heartbeat is monitored to drive two micro-processing modules for heart-calculation; in the second microprocessor, the higher level is usually adopted. In the case of the processor, but the first micro-processing The device still needs to be maintained at a processor level sufficient to calculate the heartbeat, which also means that the cost of the processor module is difficult to reduce.

In today's market demand for wearable devices, the trend of smarter health care, life-saving or big data analysis is becoming more and more clear. Non-24-hour continuous monitoring makes it easy to lose signals. Big data analysis. In addition, heartbeat monitoring is only one of the monitoring items. There are other physiological signals such as exercise, blood oxygen, respiration, body temperature, blood pressure, etc. At present, in addition to limiting the technical integration of the aforementioned components, the overall power consumption control is also It is the technical threshold. Therefore, how to design a wearable device with both long-term monitoring and low power consumption is also painstakingly studied.

The object of the present invention is to provide a raw data capture device that achieves both long-term monitoring and low power consumption.

To this end, the present invention provides a raw data capture device comprising: a feature sensing component, a primary micro-control module, a memory component, and a primary micro-control module. The sub-micro control module is electrically connected to the main micro-control module, and the feature detecting unit sequentially and continuously receives at least one physiological characteristic signal, and generates a set of original information for the physiological characteristic signal. The memory component is electrically connected to the secondary micro-control module to receive and store the original information of the group. The main micro-control module defines a sleep event and a wake-up event, and includes at least one algorithm; when the main micro-control module has a wake-up event, the main micro-control module dominates the sub-micro control module to obtain the memory component in batches. The original data, the algorithm corresponding to the original data is executed to generate at least one physiological characteristic information, and the main micro control module outputs the physiological characteristic information; when the main micro control module generates a sleep event, the algorithm does not execute .

100‧‧‧ raw data acquisition device

120‧‧‧Wearing structure

200‧‧‧Main Micro Control Module

220‧‧‧ algorithm

221‧‧‧heart beat algorithm

222‧‧‧ sports algorithm

240‧‧‧Monitor program

260‧‧‧compulsory procedure

300‧‧‧Capture unit

320‧‧‧ Feature Detection Unit

321‧‧‧Heart Beat Sensor

322‧‧‧Accelerometer

340‧‧‧ micro control modules

360‧‧‧ memory components

380‧‧‧Selection procedure

400‧‧‧Power circuit

500‧‧‧ human machine interface

600‧‧‧Wireless transmission components

700‧‧‧ Ontology

S200‧‧‧ Physiological information

S201‧‧‧ Heart Beat Information

S202‧‧‧ Sports Information

S320‧‧‧ physiological characteristic signal

S321‧‧‧ heart beat signal

S322‧‧‧ Acceleration signal

S340‧‧‧Sources

S341‧‧‧ Heart Beat Original Information

S342‧‧‧ Sports original information

Sd1, Sd2, Sd3‧‧‧ signals

R1‧‧‧ first data stream

R2‧‧‧Second data stream

I‧‧‧ third data stream

1 is a block diagram of a raw data capture device of the present invention; FIG. 1A is a schematic diagram of correspondence between the algorithm and the feature detecting unit of FIG. 1; FIG. 2 is a schematic diagram of data flow of FIG. 1; A block diagram of an embodiment of the original data capture device is invented; FIG. 3A is a schematic diagram of the algorithm and feature detection unit of FIG. 3; FIG. 4 is a data flow diagram of FIG. 3; 3 is a block diagram of the main micro-empty module in the sleep event (off); FIG. 5B is a block diagram of the main micro-empty module in the wake-up event (on) of FIG. 3; A block diagram of another embodiment of the apparatus; FIG. 7 is a schematic diagram of a wearable implementation of the original data capture device of the present invention; and FIG. 8 is a schematic diagram of another wearable embodiment of the original data capture device of the present invention.

Referring to FIG. 1A and FIG. 2 , the present invention provides a raw data capture device 100 including a main micro control module 200 , a capture unit 300 , a power supply circuit 400 , a human interface 500 , and a wireless transmission . Element 600. The main micro-control module 200 has at least one algorithm 220, and the algorithm 220 can calculate the original data of the specific physiological features of the living body; and define the wake-up event and the calculation when the algorithm 220 is executed in the main micro-control module 200. When the method 220 is not executed, it is a sleep event. The capturing unit 300 includes a feature detecting unit 320, a primary micro control module 340 and a memory component 360. Feature detection unit 320 includes at least one feature sensor for proximity biometric sensing, A specific at least one physiological characteristic signal S320 is generated. The secondary micro-control module 340 is electrically connected to the main micro-control module 200, the feature detecting unit 320 and the memory component 360; the secondary micro-control module 340 receives the physiological characteristic signal S320 of the feature detecting unit 320 (simultaneously, continuous receiving) The physiological characteristic signal S320 is defined as a first data stream R1), which can be judged or converted to produce a set of original data S340, which is output and temporarily stored to the memory element 360 (at the same time, the continuous output of the original data S340 is defined as the first Two data streams R2). The first data stream R1 may be an analog signal, a digital signal or an analog digital mixed signal, and the second data stream R2 may be a digital signal or an analog digital mixed signal, so the second data stream R2 may be equal to the first data stream R2. Data stream R1.

The physiological characteristic signal S320 (first data stream R1) is continuously and repeatedly received, judged or converted into the original data S340 (second data stream R2) by the secondary micro-control module 340 and stored in the memory element 360, and then memorized. Element 360 will have a substantial amount of data for the original data S340. When the main micro-control module 200 has a wake-up event, the main micro-control module 200 controls the sub-micro control module 340 to batchly obtain the original data S340 (second data stream R2) accumulated in the memory component 360. Subsequently, the main micro-control module 200 executes the algorithm 220 to generate and output at least one physiological feature information S200 (at the same time, the physiological characteristic information S200 outputted at this time is defined as the third data stream I). The physiological characteristic information S200 can be selectively transmitted to the human-machine interface 500, connected to an externally adjacent electronic device or database through the wireless transmission component 600, or uploaded to the cloud or the like. The third data stream I can be a digital signal or an analog digital mixed signal.

The power supply circuit 400 provides the main micro control module 200, the capture unit 300, and the power supply required for operation of the human interface 500. How to design and configure the original data capture device 100 of the present invention is not required.

Referring to FIG. 2, the data flow profile of the embodiment is as follows: the secondary micro-control module 340 receives the first data stream R1 outputted by the feature detecting unit 320, and outputs the second data stream R2 to the memory component 360 for storage. . When the wake-up event occurs in the main micro-control module 200, the main micro-control module 200 obtains the second data stream R2 from the memory component 360 through the secondary micro-control module 340, and executes the algorithm 220 to output the third data stream I.

The foregoing feature detecting unit 320 may include sensors for physiological characteristics such as heartbeat, inertia (motion), body temperature, blood oxygen concentration, alcohol concentration, blood pressure, blood sugar, respiration, muscle tension, brain waves, and the like, and various physiological feature sensors. In addition, different detection technologies may be used as the technology evolves, and the feature detecting unit 320 may arbitrarily configure the number and combination of the aforementioned physiological characteristic sensors (or not limited to the foregoing).

For example, the feature detecting unit 320 includes a heart beat sensor 321 and an accelerometer 322 as an example: the heart beat sensor 321 can be a photosensitive module for detecting blood vessel blood changes, and detecting an electrocardiogram pulse. The changing ECG sensor continuously observes the heartbeat signal S321; the accelerometer 322 detects the motion of the living body and generates an acceleration signal S322. The heartbeat sensor 321 and the accelerometer 322 individually detect the living body and continuously generate physiological characteristic signals such as the heartbeat signal S321 and the acceleration signal S322, and the secondary micro control module 340 continuously receives the heartbeat signal S321 of the heartbeat sensor 321 And the accelerometer 322 acceleration signal S322, and instantly or individually determine or convert the heartbeat signal S321, the acceleration signal S322 as a set of heartbeat original data S341, the motion original data S342, and transmit the heartbeat original signal S341 and the motion original data. S342 to memory element 360 are stored; wherein the two kinds of original data are transmitted by first-in first-out, or interleaved, or combined, and the output mode is not required according to the requirement design.

The secondary micro-control group 340 continues to operate uninterrupted, so the memory component 360 also continues to accumulate the original amount of data.

The algorithm 220 defined in the main micro-control module 200 can be divided into a plurality of functions. In this embodiment, the algorithm 220 defined in the main micro-control module 200 includes a single heart beat algorithm 221 and a single motion algorithm 222; The heartbeat sensor 321 and the accelerometer 322 individually correspond to the heartbeat algorithm 221 and the motion algorithm 222. When the main micro-control module 200 has a wake-up event, the main micro-control module 200 can perform the heartbeat algorithm 221 or the motion algorithm 222 separately, or both. The main micro-control module 200 actively sends a trigger signal Sd1 to control the sub-micro control module 340; the sub-micro control module 340 generates a batch acquisition signal Sd2 to control the memory component 360 corresponding to the trigger signal Sd1, so that the memory component 360 releases the batch data, The heartbeat original data S341 or/and the motion original data S342 are transmitted to the main micro control module 200. At this time, in the main micro-control module 200, the heartbeat algorithm 221 or/and the motion algorithm 222 are executed, and the heartbeat original data S341 and the motion original data S342 are respectively processed to generate a heart beat information S201 and a motion. Information S202. The physiological characteristic information such as the generated heartbeat information S201 and the sports information S202 can be output, for example, to the human machine interface 500 or the wireless transmission component 600.

Since the nature and quantity of the algorithm depends on the information obtained by the signal and the desired output; therefore, in order to obtain more accurate heartbeat information, it is necessary to combine multiple complex algorithms, for example, by feature point algorithm. Waveform area calculation and complexity calculation, etc., at this time, there will be more than one algorithm involving the heartbeat information output, to calculate the heartbeat original data S341, and then generate heartbeat information S201 including heart rhythm and other physiological parameters. In addition, the feature detecting unit 320 of the original data capturing device 100 of the present invention may include at least one and at least one feature sensor as needed, and thus the feature sensors having different corresponding properties shall be provided with at least one algorithm 220 having different properties. Therefore, the number and nature of the feature detecting unit 320 and the algorithm 220 are not designed and configured in the interior of the original data capturing device 100 of the present invention.

Referring to FIG. 3, the main micro-control module 200 in this embodiment further has a monitoring program 240. The heartbeat algorithm 221 and the motion algorithm 222 are executed by the monitoring program 240 at the time of the wake-up event. Therefore, if the main micro-control module 200 still needs to operate other functions, the sleep and wake-up of the monitoring program 240 can be arranged without interfering with the execution of other functions of the main micro-control module 200. In other words, the addition of the monitoring program 240 facilitates the main micro-control module 200 to perform other operations unrelated to the physiological characteristic calculation. In addition, the monitoring program 240 can further control the main micro-control module 200, so that the main micro-control module 200 can switch to sleep or wake up synchronously with the monitoring program 240, which is also designed as needed, and is not asked.

Referring to FIG. 3 and FIG. 3A, since the secondary micro-control module 340 needs to continuously receive the physiological characteristic signal, the receiving mode can be automatically fed back by the feature detecting unit 320 (ie, the heart beat sensor 321 and the accelerometer 322). In the embodiment, the sub-micro control module 340 is further provided with a loop design 380, and the picking program 380 actively captures the physiological characteristic signal. The capture program 380 is at least not interfered by the monitoring program 240, or further, the monitoring program 240 and the capture program 380 do not interfere with each other; the heartbeat algorithm 221 and the motion algorithm 222 of different natures generally do not interfere with each other; The single monitor program 240 can execute the heartbeat algorithm 221 and/or the motion algorithm 222 of different natures, or can have different monitor programs 240 to execute the heartbeat algorithm 221 and/or the motion algorithm 222 of different natures.

Referring to FIG. 4 and FIG. 5A, the capture program 380 of the secondary control module 340 obtains the first data stream R1, and the first data stream R1 includes the heartbeat signal S321 and the acceleration signal S322. The numbers are usually staggered, and their clock design and output mode are not asked. The first data stream R1 is outputted by the secondary micro control module 340 as a second data stream R2 to the memory element 360. The second data stream R2 includes a heartbeat original signal S341 and a motion original data S342, and the clock design and output of the transmission The model is also not asked. At this time, the monitoring program 240 switches to a sleep event. If the illustration in FIG. 5A is "off", the memory element 360 can continuously accumulate the original data amount without interference. Referring to FIG. 4 and FIG. 5B, when the main micro-control module 200 has a wake-up event, that is, the monitoring program 240 switches to a wake-up event, as shown in FIG. 5B as "on", the main micro-control module 200 The second data stream R2 is obtained. At this time, the original data accumulated in the memory component 360 is obtained in batches, and the memory component 360 is cleaned; the main micro-control module 200 selects to execute the corresponding heartbeat algorithm 221 or the motion algorithm 222, and processes The third data stream I is output after the second data stream R2.

Moreover, the main micro-control module 200 or its monitoring program 240 can enter the wake-up event autonomously or passively enter the wake-up event under the control of a mandatory program 260. The mandatory program 260 can be implemented on the main micro-control module 200 or the human-machine interface 500 for human operation; as shown in FIG. 6, the forcing program 260 is disposed on the human-machine interface 500 for providing a trigger signal Sd3 to force the main micro The control module 200/or the monitoring program 240 enters a wake event.

Referring to FIG. 1, the original data capture device 100 of the present invention can transmit the physiological feature information S200 separately through the wireless transmission component 600, or transmit the original data S340 together with the physiological feature information S200. External, such as host, remote system or cloud; thus, further effects such as remote monitoring and big data analysis can be achieved.

The original data capture device of the present invention is a wearable device, such as Figure 7, which is further combined with a wearable structure 120; or as shown in Figure 8, it is further coupled with a body 700. Wear structure 120. The main micro-control module 200 and the capture unit 300 are all disposed on the main body 700, and the human-machine interface 500 is disposed on the main body 700. The main body 700 can be an electronic device such as a smart watch. The body 700 is disposed on the human machine interface 500 as shown in FIG. In short, the wearing structure 120 is used to restrain the original data capturing device 100 to a part of the living body, such as a human hand, chest, waist, legs, head, etc., but is not limited by the aforementioned parts.

In summary, the original data capture device of the present invention, as shown in FIG. 2, is that the secondary data control module 340 continuously receives the first data stream R1 and outputs it as the second data stream R2, and the memory device 360 is temporarily stored. The data stream R2, and the main micro-control module 200 switches between the sleep event and the wake-up event, and obtains the second data stream R2 in batches and calculates the third data stream I at the wake-up event, thereby making the algorithm The power consumption must be controlled when a wake-up event occurs. Compared with the traditional monitoring heartbeat, a heartbeat calculus is performed every time the heartbeat signal is received, and the one-time calculus of the present invention can reduce the running times of the algorithm; it is known that the heartbeat algorithm usually includes more than one algorithm, so the present invention is more It can greatly reduce the total calculation of the algorithm, thereby reducing the overall power consumption and extending the operating time of the device to meet the requirements of 24-hour continuous monitoring. In addition, the secondary micro-control module 340 is not required to be calculated. Therefore, it is not necessary to maintain a high-standard processor for the specification of the secondary micro-control module 340. The margin for selecting such a specification can obtain the following two results: When the prior art achieves a comparable monitoring effect, the cost can be reduced; under the same processor specifications as the prior art, the monitoring effect with longer time and more complete information is achieved. Since monitoring the heart beat is one of the functions of the wearable device, the original data capture device of the present invention uses other characteristic sensors such as body temperature, breathing, motion sensor, etc., because the calculation is not as complicated as the heartbeat algorithm, the main The micro-control module will have more resources to integrate more functions or physiological signal sensors, or to maintain a longer overall power, and to achieve market health, Smart requirements for life-saving or big data analysis. The original data acquisition device of the invention can be further applied to the monitoring and care of elderly people, infants, disabled persons, etc. for the big data requirements of the purpose analysis, or in the medical institution or at home, or to expand the criminal or pet. And so on.

The present invention and its specific embodiments are not limited to the above-described examples, and the concepts may be substituted or changed by the concept and scope of the claims.

100‧‧‧ raw data acquisition device

200‧‧‧Main Micro Control Module

220‧‧‧ algorithm

300‧‧‧Capture unit

320‧‧‧ Feature Detection Unit

340‧‧‧ micro control modules

360‧‧‧ memory components

400‧‧‧Power circuit

500‧‧‧ human machine interface

600‧‧‧Wireless transmission components

S200‧‧‧ Physiological information

S320‧‧‧ physiological characteristic signal

S340‧‧‧Sources

Sd1‧‧‧ trigger signal

Claims (10)

An original data capture device includes: a feature detection unit that senses at least one physiological feature signal; and a primary control module that sequentially and continuously receives a plurality of physiological feature signals, and sequentially corresponds to each The physiological characteristic signal is output as a set of original information; a memory component receives and stores the set of original information; and a main micro control module includes at least one algorithm; wherein the main micro control module defines at least one sleep event And a wake-up event; when the sleep event occurs in the main micro-control module, the algorithm is not executed; when the wake-up event occurs in the main micro-control module, the main micro-control module dominates the micro-control module The original data stored in the memory component is batch-produced, and the algorithm corresponding to the original data is executed to generate at least one physiological feature information, and the main micro-control module outputs the physiological feature information. For example, the original data capture device of claim 1 has a mandatory program, and the occurrence of the wake event of the main micro control module is driven by the forced program. The source data capture device of claim 1 or 2, wherein: the feature detection unit comprises at least one feature sensor; the master micro-control module comprises a complex algorithm, and the algorithms are corresponding to the feature sensor. The source data capture device of claim 3, wherein the master micro-control module has at least one monitoring program; the monitoring program switches to the sleep event or the wake-up event; the algorithm is subject to the monitoring program. The source data capture device of claim 1 or 2, wherein: the feature detection unit comprises a plurality of feature sensors; the master micro-control module comprises a complex algorithm, and the algorithms are individually corresponding And other feature sensors. The source data capture device of claim 5, wherein the main micro control module has a plurality of monitoring programs; the monitoring programs switch to the sleep event or the wake event; the main micro control module has a complex algorithm, and the like The algorithm is individually governed by these monitoring programs. The raw data capture device of claim 1 or 2, wherein the micro control module has a loop design program that actively captures the physiological characteristic signals and outputs the corresponding original information; the capture program at least Not interfered by this monitoring program. The original data capture device of claim 1 or 2 further includes a human interface for receiving the physiological feature information and displaying the information. The original data capture device of claim 1 or 2 further includes a wireless transmission component electrically coupled to the primary micro control module to transmit the physiological characteristic information to the outside. The original data capture device of claim 1 or 2 further comprising a wearable structure.