CN104305974A - Health monitoring bracelet applied to smart mobile phone - Google Patents

Abstract

The invention provides a health monitoring bracelet applied to a smart mobile phone. A bluetooth module, a miniature vibrator and an audio player are embedded in an instrument panel, the instrument panel also comprises a heart rate meter and an oximeter, the heart rate meter and the oximeter both adopt a time-sharing multiplexing manner in the same structure and are arranged on the contact surface of the back of the instrument panel and skin, and the structure comprises two LED lamps and a photosensitive element which are arranged at a skin contact part; in a blood oxygen detecting module, the two LED lamps output a light beam with a fixed wave length, and the photosensitive element collects light which is subjected to diffuse reflection through skin, tissue and blood and converts light intensity which represents a blood oxygen saturability value into an electrical signal; in a heart rate detecting module, the two LED lamps give out light, the photosensitive element receives the reflected light, and a counter of a DSP(Digital Signal Processor) counts the frequency of the electrical signal which is output from the photosensitive element to obtain a heart rate value.

Description

A kind of health monitoring bracelet being applied to smart mobile phone

Technical field

The present invention relates to electronic applications, particularly a kind of health monitoring bracelet being applied to smart mobile phone.

Background technology

Along with the quickening of people's work, rhythm of life, how employing one's time to the best advantage, have sports to oneself health, is the problem that people more and more pay close attention to.

And the degree of dependence of modern to mobile phone is more and more higher, even if in gymnasium also mobile phone not from hands, whether when taking exercise, the moment is paid close attention to incoming call or information, how the contact between user and mobile phone is realized by portable unit, neither delay exercise and also do not miss crucial incoming call, and by convenient for the exercise data motion monitoring device being shown to user, be current problem demanding prompt solution.

Summary of the invention

The present invention proposes a kind of health monitoring bracelet being applied to smart mobile phone, solves the problem being undertaken by mancarried device by cell phone incoming call pointing out.

Technical scheme of the present invention is achieved in that

Be applied to a health monitoring bracelet for smart mobile phone, entirety is ring-type, and its outer surface is that EVA material is coated, the embedded instrumental panel in position in ring, and instrumental panel is embedded in bluetooth module, mini vibrator and audio player;

Described instrumental panel also comprises cardiotachometer and oximeter, and described cardiotachometer and oximeter adopt the mode of same structure time-sharing multiplex, are arranged on the instrumental panel back side and skin contact, and this structure is included in two LED and the photo-sensitive cell of skin contact part setting;

Blood oxygen detecting pattern: two LED export the light beam of fixed wave length, and photo-sensitive cell gathers the light returned through skin, tissue, blood diffuse reflectance, and the light intensity representing oximetry value is converted to the signal of telecommunication;

Heart rate detection pattern: two LED send illumination, photo-sensitive cell receives reflected light, and the frequency of enumerator to the signal of telecommunication that photo-sensitive cell exports of dsp processor counts, to obtain heart rate value;

Described instrumental panel also comprises: motion detection block, detects three-dimensional acceleration and relative rotation; Bluetooth module, is connected to described motion detection block and data center server, and data terminal server is connected with head of a family's mobile phone terminal;

Described motion detection block comprises three axle Gravity accelerometers, gyroscope and dsp processor, and dsp processor comprises integrator and filtering and optimizes module; Described three axle Gravity accelerometers export X, Y, Z axis acceleration information information, and gyroscope exports the angular rate information of human body corner, and the angular rate information integration that gyroscope exports by the integrator of dsp processor obtains the relative rotation of human body;

Described filtering and optimization module comprise the first subfilter, the second subfilter, the 3rd subfilter and senior filter, the first subfilter process X-axis acceleration information information, and provide state estimation x1 and estimation error covariance matrix p1; Second subfilter process Y-axis acceleration information information, provides state estimation x2 and estimation error covariance matrix p2; 3rd subfilter process Z axis acceleration information information, provides state estimation x3 and estimation error covariance matrix p3; Described state estimation x1, x2, x3 and estimation error covariance matrix p1, p2, p3 delivers to senior filter, and merges by formula (1) and formula (2) together with the state estimation of senior filter, obtains global optimum and estimates and covariance matrix:

${\hat{x}}_g=p_g\left(\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}{\hat{x}}_i\right)---\left(1\right)$

$p_g=\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}---\left(2\right)$

In formula, i=1,2,3;

The state estimation of optimal estimation value to 3 subfilters of senior filter resets, namely

${\hat{x}}_i={\hat{x}}_g---\left(3\right)$

$p_i={\mathrm{\β}}_i^{-1}{p}_g---\left(4\right)$

Using gravity, orientation and Y-axis are as analysis datum quantity vertically downward, and automatically adjust the size of p value, concrete adaptive algorithm is:

β ₁, β ₂, β ₃meet β ₁+ β ₂+ β ₃=1 (5)

${\mathrm{\β}}_1=\left\{\begin{array}{c}0.99,p\≤2\\ 2/p,2\≤p\≤5\\ 1/p,5\≤p\≤10\\ 2/p,p\≥10\end{array}\right.---\left(6\right)$

β ₂＝β ₃＝(1-β ₁)/2 (7)

Described dsp processor estimates according to global optimum and covariance matrix exports motor pattern and movement statistics, obtains the relative rotation of human body according to the angular rate information integration of gyroscope output human body corner;

Described dsp processor processes the heart rate value that corner data, oximetry value sum counter export, and exports the heart rate data through the reference format of ovennodulation and blood oxygen saturation data;

Bluetooth module is connected to described dsp processor, and corner data, heart rate data and blood oxygen saturation data are transferred to smart mobile phone.

Alternatively, described bluetooth module is bluetooth 4.0 (BLE) communication module.

Alternatively, also comprise dsp processor, dsp processor is connected with described bluetooth module.

Alternatively, also comprising dsp processor is TMS320F2812DSP processor.

The invention has the beneficial effects as follows:

(1) the health monitoring bracelet being applied to smart mobile phone is worn on wrist, conveniently wears;

(2) external sheath EVA material, waterproof, nontoxic, tasteless;

(3) built-in dsp processor, is convenient to the renewal of system.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is the structural representation that the present invention is applied to the health monitoring bracelet of smart mobile phone;

Fig. 2 is the control circui block diagram that the present invention is applied to the health monitoring bracelet of smart mobile phone;

Fig. 3 is the control circui block diagram of motion detection block of the present invention.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.

As shown in Figure 1 and Figure 2, a kind of health monitoring bracelet being applied to smart mobile phone of the present invention, entirety is ring-type, and its outer surface is that EVA material is coated, and the embedded instrumental panel in position in ring, instrumental panel is embedded in bluetooth module, mini vibrator and audio player.

Described instrumental panel also comprises cardiotachometer and oximeter, and described cardiotachometer and oximeter adopt the mode of same structure time-sharing multiplex, are arranged on the instrumental panel back side and skin contact, and this structure is included in two LED and the photo-sensitive cell of skin contact part setting.

Blood oxygen detecting pattern: two LED export the light beam of fixed wave length, and photo-sensitive cell gathers the light returned through skin, tissue, blood diffuse reflectance, and the light intensity representing oximetry value is converted to the signal of telecommunication.

Heart rate detection pattern: two LED send illumination, photo-sensitive cell receives reflected light, and the frequency of enumerator to the signal of telecommunication that photo-sensitive cell exports of dsp processor counts, to obtain heart rate value.

Described instrumental panel also comprises: motion detection block, detects three-dimensional acceleration and relative rotation; Bluetooth module, is connected to described motion detection block and data center server, and data terminal server is connected with head of a family's mobile phone terminal.

Described motion detection block comprises three axle Gravity accelerometers, gyroscope and dsp processor, and dsp processor comprises integrator and filtering and optimizes module; Described three axle Gravity accelerometers export X, Y, Z axis acceleration information information, and gyroscope exports the angular rate information of human body corner, and the angular rate information integration that gyroscope exports by the integrator of dsp processor obtains the relative rotation of human body.

Described filtering and optimization module comprise the first subfilter, the second subfilter, the 3rd subfilter and senior filter, the first subfilter process X-axis acceleration information information, and provide state estimation x1 and estimation error covariance matrix p1; Second subfilter process Y-axis acceleration information information, provides state estimation x2 and estimation error covariance matrix p2; 3rd subfilter process Z axis acceleration information information, provides state estimation x3 and estimation error covariance matrix p3; Described state estimation x1, x2, x3 and estimation error covariance matrix p1, p2, p3 delivers to senior filter, and merges by formula (1) and formula (2) together with the state estimation of senior filter, obtains global optimum and estimates and covariance matrix:

${\hat{x}}_g=p_g\left(\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}{\hat{x}}_i\right)---\left(1\right)$

$p_g=\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}---\left(2\right)$

In formula, i=1,2,3;

The state estimation of optimal estimation value to 3 subfilters of senior filter resets, namely

${\hat{x}}_i={\hat{x}}_g---\left(3\right)$

$p_i={\mathrm{\β}}_i^{-1}{p}_g---\left(4\right)$

Using gravity, orientation and Y-axis are as analysis datum quantity vertically downward, and automatically adjust the size of p value, concrete adaptive algorithm is:

β ₁, β ₂, β ₃meet β ₁+ β ₂+ β ₃=1 (5)

${\mathrm{\β}}_1=\left\{\begin{array}{c}0.99,p\≤2\\ 2/p,2\≤p\≤5\\ 1/p,5\≤p\≤10\\ 2/p,p\≥10\end{array}\right.---\left(6\right)$

β ₂＝β ₃＝(1-β ₁)/2 (7)

Described dsp processor estimates according to global optimum and covariance matrix exports motor pattern and movement statistics, obtains the relative rotation of human body according to the angular rate information integration of gyroscope output human body corner.

Described dsp processor processes the heart rate value that corner data, oximetry value sum counter export, and exports the heart rate data through the reference format of ovennodulation and blood oxygen saturation data.

Bluetooth module is connected to described dsp processor, and corner data, heart rate data and blood oxygen saturation data are transferred to smart mobile phone.

Bluetooth module and Bluetooth of mobile phone connect, and can ensure wireless near field communication, and after receiving incoming information, according to the prompt tone mode arranged in mobile phone, mini vibrator and/or audio player action, prompting user has incoming call.Meanwhile, heart rate value and blood oxygen saturation data upload to mobile phone carry out adding up and exporting by bluetooth module.

Preferably, described bluetooth module is bluetooth 4.0 (BLE) communication module.Bluetooth 4.0 is supplementing of bluetooth 3.0+HS specification, specially towards the wireless solution all had higher requirements to cost and power consumption, can be widely used in the numerous areas such as health care, physical fitness, home entertaining, safety guarantee.

Bluetooth 4.0 (BLE) communication module supports two kinds of deployment way: double mode and monotype.In double mode, low-power consumption Bluetooth function is integrated in existing classical bluetooth controller, or on existing classical Bluetooth technology (2.1+EDR/3.0+HS) chip, increases low-power consumption storehouse again, and overall architecture is substantially constant, and therefore cost increases limited.

Monotype is towards highly integrated, compact equipment, a lightweight articulamentum (Link Layer) is used to provide the operate in standby mode of super low-power consumption, simple device to recover and point-to-multipoint data transmission reliably, can also allow networked sensor in Bluetooth transmission, arrange the order of low-power consumption bluetooth flow properly, also have senior to be energy-conservationly connected with safety encipher simultaneously.

Preferably, the health monitoring bracelet being applied to smart mobile phone of the present invention also comprises dsp processor, and dsp processor is connected with described bluetooth module.Built-in dsp processor, is convenient to the renewal of later stage system, and dsp processor can have very strong compatibility to software upgrading.

Preferably, dsp processor is TMS320F2812DSP processor.

The health monitoring bracelet being applied to smart mobile phone of the present invention is worn on wrist, conveniently wears; External sheath EVA material, waterproof, nontoxic, tasteless; Built-in dsp processor, is convenient to the renewal of system.

The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (4)

1. be applied to a health monitoring bracelet for smart mobile phone, it is characterized in that, entirety is ring-type, and its outer surface is that EVA material is coated, the embedded instrumental panel in position in ring, and instrumental panel is embedded in bluetooth module, mini vibrator and audio player;

Described instrumental panel also comprises cardiotachometer and oximeter, and described cardiotachometer and oximeter adopt the mode of same structure time-sharing multiplex, are arranged on the instrumental panel back side and skin contact, and this structure is included in two LED and the photo-sensitive cell of skin contact part setting;

Blood oxygen detecting pattern: two LED export the light beam of fixed wave length, and photo-sensitive cell gathers the light returned through skin, tissue, blood diffuse reflectance, and the light intensity representing oximetry value is converted to the signal of telecommunication;

Heart rate detection pattern: two LED send illumination, photo-sensitive cell receives reflected light, and the frequency of enumerator to the signal of telecommunication that photo-sensitive cell exports of dsp processor counts, to obtain heart rate value;

Described instrumental panel also comprises: motion detection block, detects three-dimensional acceleration and relative rotation; Bluetooth module, is connected to described motion detection block and data center server, and data terminal server is connected with head of a family's mobile phone terminal;

Described motion detection block comprises three axle Gravity accelerometers, gyroscope and dsp processor, and dsp processor comprises integrator and filtering and optimizes module; Described three axle Gravity accelerometers export X, Y, Z axis acceleration information information, and gyroscope exports the angular rate information of human body corner, and the angular rate information integration that gyroscope exports by the integrator of dsp processor obtains the relative rotation of human body;

Described filtering and optimization module comprise the first subfilter, the second subfilter, the 3rd subfilter and senior filter, the first subfilter process X-axis acceleration information information, and provide state estimation x1 and estimation error covariance matrix p1; Second subfilter process Y-axis acceleration information information, provides state estimation x2 and estimation error covariance matrix p2; 3rd subfilter process Z axis acceleration information information, provides state estimation x3 and estimation error covariance matrix p3; Described state estimation x1, x2, x3 and estimation error covariance matrix p1, p2, p3 delivers to senior filter, and merges by formula (1) and formula (2) together with the state estimation of senior filter, obtains global optimum and estimates and covariance matrix:

${\hat{x}}_g=p_g\left(\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}{\hat{x}}_i\right)---\left(1\right)$

$p_g=\underset{i=1}{\overset{3}{\mathrm{\Σ}}}{p}_i^{-1}---\left(2\right)$

In formula, i=1,2,3;

The state estimation of optimal estimation value to 3 subfilters of senior filter resets, namely

${\hat{x}}_i={\hat{x}}_g---\left(3\right)$

$p_i={\mathrm{\β}}_i^{-1}{p}_g---\left(4\right)$

Using gravity, orientation and Y-axis are as analysis datum quantity vertically downward, and automatically adjust the size of p value, concrete adaptive algorithm is:

β ₁, β ₂, β ₃meet β ₁+ β ₂+ β ₃=1 (5)

${\mathrm{\β}}_1=\left\{\begin{array}{c}0.99,p\≤2\\ 2/p,2\≤p\≤5\\ 1/p,5\≤p\≤10\\ 2/p,p\≥10\end{array}\right.---\left(6\right)$

β ₂＝β ₃＝(1-β ₁)/2 (7)

Described dsp processor estimates according to global optimum and covariance matrix exports motor pattern and movement statistics, obtains the relative rotation of human body according to the angular rate information integration of gyroscope output human body corner;

Described dsp processor processes the heart rate value that corner data, oximetry value sum counter export, and exports the heart rate data through the reference format of ovennodulation and blood oxygen saturation data;

Bluetooth module is connected to described dsp processor, and corner data, heart rate data and blood oxygen saturation data are transferred to smart mobile phone.

2. be applied to the health monitoring bracelet of smart mobile phone as claimed in claim 1, it is characterized in that, described bluetooth module is bluetooth 4.0 (BLE) communication module.

3. be applied to the health monitoring bracelet of smart mobile phone as claimed in claim 1, it is characterized in that, also comprise dsp processor, dsp processor is connected with described bluetooth module.

4. be applied to the health monitoring bracelet of smart mobile phone as claimed in claim 3, it is characterized in that, described dsp processor is TMS320F2812DSP processor.