CN104173024B - Measurement method of energy metabolism based on sound input - Google Patents

Abstract

The invention relates to an energy metabolism measurement method, and discloses an energy metabolism measurement method based on sound input, which comprises the following steps: a data input step, a user inputs a maximum oxygen uptake amount by utilizing an input module; a step of stationary radio reception, when the user sends a stationary sound corresponding to a prompt in a stationary state according to a prompt of a prompt module, a radio reception module receives the stationary sound; a step of receiving the sports sound, wherein when the user sends a sports sound corresponding to the prompt in a sports state according to the prompt of the prompt module, the sound receiving module receives the sports sound; and a calculating step, a processor calculates an energy metabolism rate result according to the sound in the stationary state and the sound in the moving state.

Description

Measurement method of energy metabolism based on sound input

technical field

The invention relates to a method for measuring energy metabolism, in particular to a method for measuring energy metabolism based on sound input.

Background technique

Generally speaking, if you want to know the carbohydrate and fat energy metabolism rate of the user during exercise, it is necessary to collect the oxygen concentration (OxygenConcentrationPercentage, _O2 %), carbon dioxide concentration (CarbonDioxideConcentrationPercentage, _CO2 %), gas flow rate (Ventilation , VE) changes to know the volume of oxygen uptake (Volume ofOxygenConsumed, VO ₂ ), the volume of carbon dioxide production (Volume of Carbon Dioxide Produced, VCO ₂ ), and the respiratory exchange rate (RespiratoryExchangeRatio=VCO ₂ /VO ₂ , RER), and then through the energy metabolism instrument Calculate energy consumption. However, when collecting gas, the user must cover his mouth and nose with a collection mask while exercising. The collection mask is connected to the instrument through a connecting tube. energy metabolism rate. For the user, first of all, it is very inconvenient to exercise while wearing a collection mask. In addition, the equipment that collects the user's breathing gas is bulky and expensive, and cannot be used during daily exercise.

Contents of the invention

The purpose of the present invention is to provide a method for measuring energy metabolism based on sound input.

The energy metabolism measurement method based on sound input of the present invention is applicable to a portable electronic device including an input module, a prompt module, a radio module and a processor, including a data input step, a static radio step, and a motion A sound collection step, and a calculation step.

In the data input step, a user uses the input module to input a maximum oxygen uptake.

In the static sound collection step, when the user emits a stationary sound corresponding to a prompt in a static state according to a prompt from the prompt module, the sound receiving module receives the stationary sound.

In the exercise sound collection step, when the user emits a sound during exercise corresponding to the prompt in an exercise state according to the prompt of the prompt module, the sound collection module receives the sound during exercise.

In the calculation step, the processor calculates an energy metabolism rate result according to the sound at rest and the sound at exercise.

The beneficial effects of the present invention are: use the prompt module to prompt the user to make the sound at rest and the sound during exercise, and then use the processor to calculate an energy metabolism according to the sound at rest and the sound during exercise received by the sound receiving module rate results.

Description of drawings

Fig. 1 is a flowchart illustrating a method for measuring energy metabolism based on sound input of the present invention;

2 is a system block diagram illustrating the first and second preferred embodiments of the system for implementing the sound input-based energy metabolism measurement method of the present invention;

Fig. 3 is a schematic diagram illustrating the relationship of each numerical value in the present invention; and

FIG. 4 is a system block diagram illustrating a third preferred embodiment of a system for implementing the sound input-based energy metabolism measurement method of the present invention.

detailed description

Below in conjunction with accompanying drawing and embodiment the present invention is described in detail:

Referring to FIG. 1 and FIG. 2 , the first preferred embodiment of the method for measuring energy metabolism based on voice input of the present invention is implemented in the form of a mobile phone software (Application, App), which is suitable for a portable electronic device 8 . The method includes a data input step 101 , a static sound collection step 102 , a motion sound collection step 103 , and a calculation step 104 .

The portable electronic device 8 includes an input module 2 , a prompt module 3 , a radio module 4 , a processor 5 , a user interface 6 , and a computing core 7 . In this preferred embodiment, the portable electronic device 8 is a smart phone.

The input module 2, the prompt module 3, and the radio module 4 are respectively a built-in touch screen, speaker, and microphone of the mobile phone. Of course, in order to obtain better radio reception and broadcasting effects, the speaker and microphone can also be replaced by an external earphone microphone.

The user interface 6 and the computing core 7 are components of the mobile phone software, which are computer program products. After the mobile phone software is loaded into the processor 5 and executed, the described method can be completed.

The details of the sound input-based energy metabolism measurement method of the present invention are further described below.

As shown in step 101, a user uses the input module 2 to input a maximum oxygen uptake and personal data. The maximum oxygen uptake can be directly obtained through the measurement of the oxygen uptake analyzer through exercise in advance, or the maximum oxygen uptake information can be obtained indirectly through the exercise performance, gender, and body weight. The maximum oxygen uptake is also known as the maximum volume of oxygen uptake (Maximum Volume of OxygenConsumed, VO ₂ max), relative to the general unit of personal body weight is mL/min/kg or L/min/kg. Generally common direct measurement can be carried out through gradual exercise load test (Graded Exercise Testing, GXT) such as bicycle ergometer (Cycle Ergometer) and treadmill (Treadmill). Analyze your maximum oxygen intake during exercise. In this step, the user inputs the maximum oxygen uptake, body weight and gender through the user interface 6 through the touch screen of the mobile phone.

As shown in step 102 , when the user emits a corresponding sound at rest in a static state according to a prompt from the prompt module 3 , the sound receiving module 4 receives the sound at rest. In this step, the prompting module 3 plays the multiple contents of the prompt at intervals according to a certain rhythm, and the user sends out corresponding static sounds according to these contents at one go, until it cannot continue. The voice at rest includes a plurality of passwords corresponding to these contents one-to-one. For example, the prompt module 3 emits a short beep sound at a fixed rhythm of 120 beats per minute, and then the user uses a normal and natural speaking volume before the user starts exercising, which is physiologically tolerable and will not cause discomfort In the case of a short voice, try to read out multiple sets of passwords in one breath without inhaling or interrupting the rhythm of the short voices, such as 1234, 2234, 3234, 4234, 5234, 6234, 7234, 8234, 9234 , 0234, 1234 and other numbers until it cannot continue. These passwords can be in other forms and are not limited to combinations of numbers. Then, the sound that this segment of user sends is received by this sound receiving module 4, becomes this sound when this is still.

Next, as shown in step 103 , when the user emits a sound during exercise corresponding to the prompt in an exercise state according to the prompt of the prompt module 3 , the sound receiving module 4 receives the sound during exercise. In this step, similar to the static listening step 102, the prompt module 3 plays multiple contents of the prompt according to a certain rhythm at intervals, such as the above-mentioned short beep sound, and the user listens to these prompts in one breath during exercise. The content again plays the corresponding motion sound until it can no longer continue. Similarly, the sound during exercise includes a plurality of passwords one-to-one corresponding to these contents, and these passwords are notified to the user in advance, and can be in other forms and are not limited to a combination of numbers. Then, this section of user's sound is received by the sound receiving module 4, and becomes the sound during the exercise.

Next, as shown in step 104, the processor 5 calculates an energy metabolism rate result according to the sound at rest and the sound at exercise. The detailed process is described as follows.

First, referring to FIG. 2 and FIG. 3 , the processor 5 cooperates with the computing core 7 to obtain a sound length ratio according to the time length of the sound at rest and the time length of the sound during motion. The sound length ratio is a value obtained by dividing the time length of the sound during motion by the time length of the sound when it is still.

Then, an oxygen uptake rate corresponding to the user's current situation is calculated from the sound length ratio through an oxygen uptake rate formula. At the same time, a breath exchange rate corresponding to the user's current situation is calculated from the sound length ratio through a breath exchange rate formula. Then, according to the oxygen uptake rate and respiratory exchange rate, combined with the maximum oxygen uptake, the current oxygen uptake is obtained first, and then the energy metabolism rate result is calculated.

Oxygen uptake rate is an indicator of the user's ability to absorb oxygen during exercise. When the user's exercise intensity increases, the oxygen uptake rate will have a positive correlation with the exercise intensity. That is, when the exercise intensity reaches 100%, the user's oxygen intake rate per unit time The volume of oxygen ingested will be close to the user's maximum oxygen uptake. It is worth mentioning that the above oxygen uptake rate formula is pre-generated by using a regression analysis method. The regression analysis method used in the present invention is linear regression (LinearRegression), which is a method often used in statistics, so it will not be described in detail. In addition, the multiple coefficients of the oxygen uptake rate formula are highly correlated with the user's gender, so multiple sets of coefficients are stored in the memory (not shown) of the mobile phone, and then the processor 5 cooperates with the computing core 7 according to the personal data , that is, the gender of the user, select multiple coefficients in the oxygen uptake rate formula and the respiratory exchange rate formula. In this preferred embodiment, male's oxygen uptake rate=(-99.287*sound length ratio+103.1)/100, while female's oxygen uptake rate=(-97.356*sound length ratio+106.62)/100. If the duration of the man's voice is 15 seconds when he is still talking, and the duration of the voice is 9 seconds during exercise, the male user's voice length ratio is 0.6 (9 seconds/15 seconds = 0.6), and the male oxygen uptake rate = (-99.287×0.6+103.1) /100＝0.4353＝43.53%, if the length of the woman’s voice at rest is 12 seconds, and the length of the voice is 7.2 seconds during exercise, the proportion of the voice length of the female user is 0.6 (7.2 seconds/12 seconds=0.6), and the female oxygen uptake rate= (-97.356×0.6+106.62)/100=0.4821=48.21%.

The respiratory exchange ratio (RespiratoryExchangeRatio, RER) is the ratio of the volume of carbon dioxide produced by the user during exercise (Volume of Carbon Dioxide Produced, VCO ₂ ) to the volume of oxygen intake (Volume of OxygenConsumed, VO ₂ ), which is the respiratory exchange ratio (RER, VCO ₂ /VO ₂ ). Likewise, it is not measured directly in the present invention, but obtained by the formula of respiratory exchange rate. The respiratory exchange rate formula is also pre-generated by using the regression analysis method. In addition, the multiple coefficients of the respiratory exchange rate formula are also highly correlated with the user's gender, so the processor 5 cooperates with the computing core 7 to select multiple coefficients in the respiratory exchange rate formula according to the gender in the personal data. In this preferred embodiment, male's breath exchange rate=-0.3542*sound length ratio+1.0632, and female's breath exchange rate=-0.3549*sound length ratio+1.0582. If the duration of the man’s voice is 15 seconds when he is still speaking, and the length of the voice is 9.75 seconds during exercise, the male user’s voice length ratio is 0.65 (9.75 seconds/15 seconds = 0.65), and the male breath exchange rate = -0.3542 × 0.65 + 1.0632 = 0.8330 , if the time length of the woman’s voice at rest is 12 seconds, and the voice length during exercise is 7.8 seconds, the female user’s voice length ratio is 0.65 (7.8 seconds/12 seconds=0.65), and the female breath exchange rate=-0.3549×0.65+1.0582= 0.8275.

The energy metabolism rate result includes a carbohydrate metabolism rate and a fat metabolism rate. When calculating the metabolic rate of carbohydrates, a current oxygen uptake is calculated from the oxygen uptake rate and the maximum oxygen uptake input in the data input step 101, and then the current oxygen uptake and respiratory exchange rate are substituted into a sugar The metabolic rate of carbohydrates is calculated by the formula of metabolic rate. For example, if a user weighs 50kg, his maximum oxygen uptake relative to his body weight is 50mL/min/kg, and his absolute maximum oxygen uptake is 50kg×50mL/min/kg=2500mL/min=2.5L/min, If the oxygen uptake rate during exercise is 80%, then the current oxygen uptake is 80%×2500mL/min=2000mL/min=2L/min. If the user's respiratory exchange rate is 0.85, use the carbohydrate metabolism rate formula: carbohydrate metabolism rate (g/min) = current oxygen uptake × (4.19486 × respiratory exchange rate - 2.97867) = 2 × (4.19486 × 0.85- 2.97867)=1.17392, it can be obtained that the carbohydrate metabolism rate of the user is 1.17392 (g/min). The unit of carbohydrate metabolism rate is g/min, the unit of current oxygen uptake is L/min, and the normal ratio of respiratory exchange rate in human body is 0.7-1.2.

When calculating the fat metabolism rate, similarly, first calculate the current oxygen uptake from the oxygen uptake rate and the maximum oxygen uptake rate (current oxygen uptake = maximum oxygen uptake × oxygen uptake rate), and then calculate the current The oxygen uptake and respiratory exchange rate were substituted into a fat metabolism rate formula to calculate the fat metabolism rate. For a user with a weight of 50kg, the maximum oxygen uptake relative to the body weight is 50mL/min/kg, and the absolute maximum oxygen uptake of the individual is 50kg×50mL/min/kg=2500mL/min=2.5L/min. If the oxygen uptake rate is 80%, the current oxygen uptake rate is 80%×2500mL/min=2000mL/min=2L/min, and the respiratory exchange rate is 0.85. The fat metabolism rate can be calculated by the fat metabolism rate formula. Fat metabolism rate (g/min) = current oxygen uptake x (-1.6982 x respiratory exchange rate + 1.69225) = 2 x (-1.6982 x 0.85 + 1.69225) = 0.49756 (g/min). The unit of the fat metabolism rate is g/min, the unit of the current oxygen uptake is L/min, and the normal ratio of the respiratory exchange rate in the human body is 0.7-1.2. The formulas for the carbohydrate metabolism rate and the fat metabolism rate are also pre-generated by the regression analysis method.

It is worth mentioning that this preferred embodiment can also use the table stored in the mobile phone memory to obtain the maximum oxygen uptake in the form of a table lookup. At this time, the input personal data also has age in addition to gender and weight. Pass the step test (StepTest), BalkeTreadmill (Balke treadmill method), 1.5 miles (2400m) track and field test time, or 12 minutes running (12minRun) distance, and check the table against the American Sports Medicine Association exercise test and Prescription guidelines (ACSM's Guidelines for Exercise Testing and Prescription) (the table is included below), according to age and gender, indirectly obtain the maximum oxygen uptake (VO ₂ max) information, which is the maximum oxygen uptake relative to the unit body weight, so the unit is mL/min /kg. Therefore, when a 25-year-old user with a weight of 50kg enters personal information and runs a distance of 1.88 miles in 12 minutes, the maximum oxygen uptake per body weight obtained after the processor 5 cooperates with the computing core 7 to look up the table is 56.2 mL/min/kg, if the oxygen uptake rate during exercise is 80%, then the current oxygen uptake is 80%×56.2mL/min/kg×50kg=2248mL/min=2.248L/min.

The above is the first preferred embodiment of the present invention, the user receives the prompt through hearing, and then reads out multiple passwords.

Referring to Fig. 1, Fig. 2 and Fig. 3, the second preferred embodiment of the present invention differs from the first preferred embodiment in that the input module 2 and the prompt module 3 are implemented with a touch screen, and these contents are respectively a paragraph picture. When implemented in this preferred embodiment, the user receives prompts visually.

Therefore, in the static sound collection step 102, when the user emits a stationary sound corresponding to a prompt in a static state according to a prompt from the prompt module 3, the sound receiving module 4 receives the stationary sound. In this step, the prompting module 3 displays a picture of digital combination on the touch screen according to a fixed sounding rhythm of 120 beats per minute, and then the user speaks at a normal and natural volume, which is physiologically tolerable and does not cause discomfort. , with one breath, without inhalation or interruption, try to read out multiple sets of passwords corresponding to the screen with the rhythm of these short sounds, such as 1234, 2234, 3234, 4234, 5234, 6234, 7234, 8234, 9234 , 0234, 1234 and other numbers until it cannot continue. Similarly, the screen displayed on the touch screen can be set in other forms and is not limited to the combination of numbers. Then, the sound that this segment of user sends is received by this sound receiving module 4, becomes this sound when this is still.

In the exercise sound collection step 103, when the user emits a sound during exercise corresponding to the prompt according to the prompt of the prompt module 3 in an exercise state, the sound collection module 4 receives the sound during exercise. In this step, similar to the above-mentioned static sound collection step 102, the prompt module 3 displays multiple contents of the prompt on the touch screen according to a certain rhythm, such as the above-mentioned digital combination screen, and the user responds to these contents in one breath. Say the password several times until you can't continue. These passwords are received by the radio module 4 and become sounds during the exercise.

Referring to Fig. 1, Fig. 3 and Fig. 4, the third preferred embodiment of the present invention differs from the first and second preferred embodiments in that the portable electronic device 8 is a music player, comprising a An input module 2 , a prompt module 3 , a radio module 4 , a processor 5 , and a computing core 7 .

The input module 2 is a plurality of keys. The prompt module 3 and the sound receiving module 4 are integrated into an earphone microphone for the user to wear. The calculation core 7 is a solid built in the music player, and the processor 5 of the music player can complete the method. The steps of this method are similar to those of the first preferred embodiment, the only difference is that the user inputs gender, body weight and maximum oxygen uptake through a plurality of buttons with pre-set functions, so no more details are given here.

In summary, the present invention utilizes the sound at rest and the sound during motion obtained in the static sound collection step 102 and the motion sound collection step 103 to obtain the energy metabolism rate result after the processor 5 cooperates with the calculation core 7 to calculate, so it can indeed achieve the cost. purpose of the invention.

The above descriptions are only preferred embodiments of the present invention, and cannot limit the scope of the present invention. That is, all simple equivalent changes and modifications made according to the patent scope of the present invention and the contents of the description still belong to the present invention. within the scope covered.

Claims (9)

1., based on an energy metabolism measuring method for Speech input, be applicable to the portable electronic devices that comprises an input module, reminding module, a radio module and a processor, comprise the following step, it is characterized in that:

A data input step, a user utilizes described input module to input a maximal oxygen uptake;

A static radio reception step, when described user according to one of described reminding module point out when a resting state sends a described prompting of correspondence static, to speak sound time, described radio module receive described static time to speak sound;

A motion radio reception step, when described user according to described reminding module described point out when a kinestate sends the motion of a correspondence described prompting, to speak sound time, sound of speaking when described radio module receives described motion; And

A calculation procedure, described processor according to described static time speak sound and motion time sound of speaking calculate a relative metabolic rate result.

2. as claimed in claim 1 based on the energy metabolism measuring method of Speech input, it is characterized in that: in described calculation procedure, described processor according to described static time speak the time span of sound and described motion time the speak time span of sound obtain a sound length ratio, then calculate described relative metabolic rate result according to described sound length ratio.

3. as claimed in claim 2 based on the energy metabolism measuring method of Speech input, it is characterized in that: in described calculation procedure, first calculated the oxygen uptake rate of a described user of correspondence situation instantly by described sound length ratio by an oxygen uptake rate formula, and calculated the respiratory exchange rate of a described user of correspondence situation instantly by described sound length ratio by a respiratory exchange rate formula, then according to described oxygen uptake rate and respiratory exchange rate, described relative metabolic rate result is calculated.

4. as claimed in claim 3 based on the energy metabolism measuring method of Speech input, it is characterized in that: described relative metabolic rate result comprises a carbohydate metabolism rate and a lipid metabolism rate, in described calculation procedure, first by described oxygen uptake rate and maximal oxygen uptake, calculate an oxygen uptake instantly, again described oxygen uptake instantly and respiratory exchange rate are substituted into a carbohydate metabolism rate formulae discovery and go out described carbohydate metabolism rate, and described oxygen uptake instantly and respiratory exchange rate are substituted into a lipid metabolism rate formulae discovery and go out described lipid metabolism rate.

5., as claimed in claim 4 based on the energy metabolism measuring method of Speech input, it is characterized in that: described oxygen uptake rate formula and respiratory exchange rate formula utilize a regression analysis to produce.

6. as claimed in claim 5 based on the energy metabolism measuring method of Speech input, it is characterized in that: in described data input step, described user also utilizes described input module to input personal data, and in described calculation procedure, described processor selects the multiple coefficients in described oxygen uptake rate formula and respiratory exchange rate formula according to described personal information.

7. as claimed in claim 1 based on the energy metabolism measuring method of Speech input, it is characterized in that: when described reminding module plays multiple content of described prompting according to certain rhythm compartment of terrain, described user at a heat according to described content send corresponding static time speak sound or motion time to speak sound, until cannot continue, described static time speak sound or motion time to speak sound, comprise multiple and described content password one to one respectively.

8., as claimed in claim 7 based on the energy metabolism measuring method of Speech input, it is characterized in that: described reminding module is loudspeaker, and described content is respectively one section of short sound.

9., as claimed in claim 7 based on the energy metabolism measuring method of Speech input, it is characterized in that: described reminding module is a screen, and described content is respectively one section of picture.