CN112120683B - Human body energy consumption monitoring device and method - Google Patents
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- 238000005265 energy consumption Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012806 monitoring device Methods 0.000 title claims abstract description 11
- 230000000284 resting effect Effects 0.000 claims abstract description 53
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 21
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 21
- 239000001301 oxygen Substances 0.000 claims abstract description 21
- 238000004364 calculation method Methods 0.000 claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000004891 communication Methods 0.000 claims abstract description 14
- 230000003993 interaction Effects 0.000 claims abstract description 6
- 230000005540 biological transmission Effects 0.000 claims abstract description 5
- 238000012545 processing Methods 0.000 claims abstract description 3
- 108010054147 Hemoglobins Proteins 0.000 claims description 26
- 102000001554 Hemoglobins Human genes 0.000 claims description 26
- 239000008280 blood Substances 0.000 claims description 17
- 210000004369 blood Anatomy 0.000 claims description 17
- 230000000747 cardiac effect Effects 0.000 claims description 16
- 230000008859 change Effects 0.000 claims description 8
- 238000002835 absorbance Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 238000002106 pulse oximetry Methods 0.000 claims description 6
- 108010064719 Oxyhemoglobins Proteins 0.000 claims description 4
- 230000004962 physiological condition Effects 0.000 claims description 3
- 230000004872 arterial blood pressure Effects 0.000 claims description 2
- 230000035487 diastolic blood pressure Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 102000004169 proteins and genes Human genes 0.000 claims description 2
- 108090000623 proteins and genes Proteins 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 230000035488 systolic blood pressure Effects 0.000 claims description 2
- 238000012360 testing method Methods 0.000 claims description 2
- 238000010521 absorption reaction Methods 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 2
- 230000017531 blood circulation Effects 0.000 abstract 1
- 230000036541 health Effects 0.000 description 4
- 238000013461 design Methods 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000037149 energy metabolism Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004060 metabolic process Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005375 photometry Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
- 230000037221 weight management Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0295—Measuring blood flow using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14546—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring analytes not otherwise provided for, e.g. ions, cytochromes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4866—Evaluating metabolism
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
A human body energy consumption monitoring device and a method belong to the technical field of wearable equipment and human body energy consumption analysis. The system comprises a signal acquisition device and a software system, wherein the signal acquisition device is responsible for data acquisition and transmission; the software system is responsible for user interaction, data operation and display. The signal acquisition device consists of a photoelectric signal acquisition module, a power module and a communication module, has portability and can acquire real-time data; the software system consists of a control module, a storage module, a calculation module and a display module, and is used for processing the acquired signals and interacting with a user. The human energy consumption monitoring method is based on an oxygen transportation model in blood circulation, acquires personal information, detects resting heart rate and resting energy consumption within a period of time, and establishes a personal real-time energy consumption monitoring model, so that real-time accurate monitoring of human energy consumption is realized.
Description
Technical field:
the invention relates to a human body energy consumption detection device and method, in particular to a human body energy consumption detection device and method by collecting photoelectric volume pulse wave signals, and belongs to the technical field of wearable equipment and human body energy consumption analysis.
The background technology is as follows:
with the continuous improvement of living standard, people pay more attention to their health condition. At present, a plurality of intelligent bracelets or intelligent watches for monitoring the health condition of a human body by acquiring information such as step number, heart rate, sleep quality and the like are already on the market. Although guidance can be provided to some extent for health management, the human information that can be provided is very limited.
The human energy consumption is very important health information, reflects the metabolism condition of the human body, and is valuable human body reference information for various fields such as weight management, exercise training, patient monitoring, chronic disease research and the like.
The human energy consumption value measured by the human energy consumption monitoring device on the market at present can reflect the energy metabolism state to a certain extent, but the accuracy is still to be improved because the personal information cannot be identified due to the limitation of the method.
The invention therefore proposes a more scientific method of measuring energy consumption and a device for measuring energy consumption.
The invention comprises the following steps:
in order to make up for the limitations of the existing human energy consumption detection equipment, the invention provides a human energy consumption monitoring method and an energy consumption monitoring device.
The invention is realized by the following technical scheme:
a human energy consumption monitoring device, comprising:
the system consists of a signal acquisition device (1) and a software system (2).
The signal acquisition device comprises a multi-wavelength photoelectric signal acquisition module (3), a communication module (4) and a power supply module (5);
the software system comprises a control module (6), a storage module (7), a calculation module (8) and a display module (9).
The multi-wavelength photoelectric signal acquisition module (3) is used for acquiring human body photoelectric volume pulse wave original signals of at least three wavelength bands.
The communication module (4) is connected with the multi-wavelength photoelectric signal acquisition module (3) and is used for completing interaction between the signal acquisition device and the software system, sending an acquisition instruction to the multi-wavelength photoelectric signal acquisition module (3) and transmitting acquired data to the software system.
The power supply module (5) is connected with the multi-wavelength photoelectric signal acquisition module (3) and the communication module (4) and is used for supplying power to the signal acquisition device.
And the control module (6) is connected with the communication module (4) and is used for completing interaction between a user and the device.
The storage module (7) is connected with the communication module (4), the calculation module (8) and the display module (9) and is used for receiving the original data acquired by the signal acquisition device and outputting the calculation result in the storage module (7) in the display module (9).
And the calculating module (8) is connected with the storage module (7) and is used for processing the original signals and calculating required relevant parameters. The parameters to be calculated are as follows: human energy consumption (EE), hemoglobin concentration (Hb), pulse oximetry (SpO) 2 ) Cardiac Output (CO), heart Rate (HR).
And the display module (9) is connected with the control module (6) and the storage module (7) and is a visualization part of system software.
When the software system (2) sends a command for monitoring human energy consumption in real time, the acquisition device (1) is driven to continuously acquire single-wavelength PPG signals, and the signals are packaged and transmitted to the software system (2).
Preferably, the carrier of the software system (2) comprises a mobile phone, a tablet computer and a computer.
Further, the parameter calculation formula of the calculation module (8) is as follows:
human resting energy expenditure REE (in kcal/day):
REE＝α×CO×Hb×(SaO 2 -θ) (1)
wherein alpha and theta are constants (9.17)<α<9.89，0.65<θ<0.75 CO is cardiac output, hb is hemoglobin concentration in blood, saO 2 Is arterial oxygen saturation.
Cardiac output CO:
wherein Pm is mean arterial pressurePs is systolic pressure, pd is diastolic pressure, T is the number of cardiac cycles measured, and P (T) is the instantaneous arterial pressure.
Hemoglobin concentration Hb:
the hemoglobin is divided into oxyhemoglobin, reduced hemoglobin and nonfunctional hemoglobin, the concentrations of which are denoted as c 1 、c 2 、c 3 By means of at least three wavelength light sources (lambda 1 、λ 2 、λ 3 ) Absorbance change amount information (Δa) 1 、ΔA 2 、ΔA 3 ) The values of the different haemoglobin can be determined.
Wherein K is 1 、K 2 、K 3 Absorbance coefficients (photometry) for oxyhemoglobin, reduced hemoglobin and nonfunctional hemoglobin; delta L is the change of the length of the volume cross section and can be eliminated as a common factor; ΔA 1 、ΔA 2 、ΔA 3 Respectively calculating the absorbance change amounts under three different wavelengths according to the formula (3), wherein c1, c2 and c3 are respectively calculated;
hemoglobin concentration is the sum of three protein concentrations:
Hb＝c 1 +c 2 +c 3 (4)
the absorbance change Δa is expressed as:
wherein I is max And I min For measuring the maximum and minimum values of the obtained light intensity.
Arterial oxygen saturation SaO 2 ：
Wherein a and b are constants when determining the wavelength of light and the substance to be tested, and are determined according to the test.
Under normal physiological conditions, arterial blood oxygen saturation is equal to pulse blood oxygen saturation, as follows:
SaO 2 ＝SpO 2 (7)
in the formula, saO 2 SpO, arterial oxygen saturation 2 Is pulse blood oxygen saturation.
The daily resting energy consumption calculation formula is as follows:
REE＝α×CO×Hb×(SpO 2 -θ) (8)
wherein alpha, theta (9.17<α<9.89，0.65<θ<0.75 Constant, CO is cardiac output, hb is hemoglobin concentration in blood, spO 2 Is pulse blood oxygen saturation.
The software system (2) analyzes the real-time transmission signal to obtain RR interval t of each pulse i Thereby calculating the heart rate HR per beat i ：
Calculating heart rate variability (beta) from each beat i )
Substituting into a real-time human energy consumption calculation model:
EE＝(c×β-d)×REE (11)
where c and d are constants, β is the heart rate variability ratio, EE is the real-time energy expenditure, and REE is the resting energy expenditure.
The results of the real-time energy consumption are accumulated and output in units of minutes.
When t 1 +t 2 +…+t n At=60, energy consumption per minute is output.
When the software system (2) sends a command for monitoring human energy consumption in real time, the acquisition device (1) is driven to continuously acquire single-wavelength PPG signals, and the signals are packaged and transmitted to the software system (2).
Preferably, the carrier of the software system (2) comprises a mobile phone, a tablet computer and a computer.
The working method for monitoring human energy consumption by using any human energy consumption monitoring device is characterized by comprising the following steps:
step one: inputting user information and estimating resting energy consumption value
User information including information of name, sex, height, weight, age, etc. is input in the software system (2) for personal information recording.
Step two: resting heart rate and resting energy expenditure detection
Resting Heart Rate (HR) was measured in resting state Rest ) And Resting Energy Expenditure (REE).
HR Rest 、CO、Hb、SaO 2 Can be calculated from at least three different wavelengths of the PPG signal.
(1) Extracting resting Heart Rate (HR) Rest )
(2) Acquisition of Cardiac Output (CO), hemoglobin concentration (Hb), arterial blood oxygen saturation (SaO) by PPG signal 2 )
(3) Calculating the Resting Energy Expenditure (REE) of a human body
Step three: human energy consumption real-time monitoring
After the user information is complete, the signal acquisition device (1) is worn to monitor the human energy consumption in real time.
The software system (2) sends and collects the resting heart rate and resting energy consumption instruction, and drives the signal collection device (1) to operate. The lower computer of the signal acquisition device (1) acquires multipath PPG signals in a user resting state and transmits the multipath PPG signals to the software system (2) to calculate the resting Heart Rate (HR) Rest ) Cardiac Output (CO), hemoglobin concentration (Hb), pulse oximetry (SpO) 2 ) Resting heart rate and resting energy expenditure are acquired.
The beneficial effects of the invention are as follows:
1. real-time performance: the invention only needs to acquire the basic information of the user in advance and detect the resting energy consumption, and can monitor the energy consumption in real time by only extracting the real-time heart rate, thereby solving the problems that the common indirect calorimetric method needs to wear a mask for a certain time, then calculates the energy consumption in the time and cannot monitor for a long time.
2. Portability: the upper computer designed by the device and the method can be devices such as a finger clip, an ear clip, a bracelet and the like, does not influence daily life, and can be worn for a long time by a user.
3. Accuracy: the real-time human energy consumption calculation model is not only the corresponding relation between heart rate and human energy consumption, but also can be built according to different people, so that the monitoring accuracy is improved.
Description of the drawings:
in order to more clearly illustrate the technical solutions in the examples of the present invention, the drawings used in the description of the embodiments will be briefly described below.
FIG. 1 is a functional block diagram of an apparatus according to an embodiment of the present invention
FIG. 2 is a schematic flow chart of a method according to an embodiment of the invention
The specific embodiment is as follows:
the invention will be described in further detail with reference to the drawings and the detailed description.
As shown in FIG. 1, the invention consists of a lower computer signal acquisition device and an upper computer software system. The signal acquisition device is responsible for data acquisition and transmission; the software system is responsible for user interaction, data operation and display.
The lower computer is a PPG signal acquisition device and consists of a multi-wavelength photoelectric signal acquisition module, a communication module and a power supply module. The power module supplies power to the integral signal acquisition device. After the communication module receives the monitoring instruction, data acquisition is carried out through the multi-wavelength photoelectric signal acquisition module, the transmitting end of the multi-wavelength photoelectric signal acquisition module sends out laser signals, the laser signals are projected to the measured part, and the receiving end carries out measurement signal acquisition and is packaged and sent into the software system through the communication module. The data of the storage module are analyzed through the calculation module.
The carrier of the software system is a mobile phone, a computer, a tablet personal computer and other devices, and software in the devices performs data operation and display.
As shown in fig. 2, the software functional flow of the upper computer is mainly implemented by the following method:
the working method for monitoring human energy consumption by the human energy consumption monitoring device is characterized by comprising the following steps of:
step one: inputting user information and estimating resting energy consumption value
User information including name, gender, height, weight, age is entered in the software system (2) for personal information recording.
Step two: resting heart rate and resting energy expenditure detection
Resting Heart Rate (HR) was measured in resting state Rest ) And Resting Energy Expenditure (REE).
HR Rest 、CO、Hb、SaO 2 Can be calculated from at least three different wavelengths of the PPG signal.
(1) Extracting resting Heart Rate (HR) Rest )
(2) Acquisition of Cardiac Output (CO), hemoglobin concentration (Hb), arterial blood oxygen saturation (SaO) by PPG signal 2 )
(3) Calculating the Resting Energy Expenditure (REE) of a human body
Step three: human energy consumption real-time monitoring
After the user information is complete, the signal acquisition device (1) is worn to monitor the human energy consumption in real time.
The software system (2) sends and collects the resting heart rate and resting energy consumption instruction, and drives the signal collection device (1) to operate. The lower computer of the signal acquisition device (1) acquires multipath PPG signals in a user resting state and transmits the multipath PPG signals to the software system (2) to calculate the resting Heart Rate (HR) Rest ) Cardiac Output (CO), hemoglobin concentration (Hb), pulse oximetry (SpO) 2 ) Resting heart rate and resting energy expenditure are acquired.
Under normal physiological conditions, arterial blood oxygen saturation is equal to pulse blood oxygen saturation, as follows:
SaO 2 ＝SpO 2 (7)
in the formula, saO 2 SpO, arterial oxygen saturation 2 Is pulse blood oxygen saturation.
The daily resting energy consumption calculation formula is as follows:
REE＝α×CO×Hb×(SpO 2 -θ) (8)
wherein alpha, theta (9.17<α<9.89，0.65<θ<0.75 Constant, CO is cardiac output, hb is hemoglobin concentration in blood, spO 2 Is pulse blood oxygen saturation.
The software system (2) analyzes the real-time transmission signal to obtain RR interval t of each pulse i Thereby calculating the heart rate HR per beat i ：
Calculating heart rate variability (beta) from each beat i )
Substituting into a real-time human energy consumption calculation model:
EE＝(c×β-d)×REE (11)
where c and d are constants, β is the heart rate variability ratio, EE is the real-time energy expenditure, and REE is the resting energy expenditure.
The results of the real-time energy consumption are accumulated and output in units of minutes.
When t 1 +t 2 +…+t n At=60, energy consumption per minute is output.
The above embodiments are merely for illustrating the design concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement the same, the scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications according to the principles and design ideas of the present invention are within the scope of the present invention.
Claims (3)
1. A human energy consumption monitoring device, comprising:
the system consists of a signal acquisition device (1) and a software system (2);
the signal acquisition device comprises a multi-wavelength photoelectric signal acquisition module (3), a communication module (4) and a power supply module (5);
the software system comprises a control module (6), a storage module (7), a calculation module (8) and a display module (9);
the multi-wavelength photoelectric signal acquisition module (3) is used for acquiring human body photoelectric volume pulse wave original signals of at least three wavelength bands;
the communication module (4) is connected with the multi-wavelength photoelectric signal acquisition module (3) and is used for completing interaction between the signal acquisition device and the software system, sending an acquisition instruction to the multi-wavelength photoelectric signal acquisition module (3) and transmitting acquired data to the software system;
the power supply module (5) is connected with the multi-wavelength photoelectric signal acquisition module (3) and the communication module (4) and is used for supplying power to the signal acquisition device;
the control module (6) is connected with the communication module (4) and is used for completing interaction between a user and the device;
the storage module (7) is connected with the communication module (4), the calculation module (8) and the display module (9) and is used for receiving the original data acquired by the signal acquisition device and outputting the calculation result in the storage module (7) in the display module (9);
the computing module (8) is connected with the storage module (7) and is used for processing the original signals and computing the required relevant parameters; the parameters to be calculated are as follows: human energy consumption EE, hemoglobin concentration Hb, pulse oximetry SpO 2 Cardiac output CO, heart rate HR;
the display module (9) is connected with the control module (6) and the storage module (7) and is a visualized part of system software;
the parameter calculation formula of the calculation module (8) is as follows:
human resting energy expenditure REE, in kcal/day:
REE＝α×CO×Hb×(SaO 2 -θ) (1)
wherein alpha and theta are constants, 9.17<α<9.89，0.65<θ<0.75, CO is cardiac output, hb is hemoglobin concentration in blood, saO 2 Is arterial oxygen saturation;
cardiac output CO:
wherein Pm is mean arterial pressurePs is systolic pressure, pd is diastolic pressure, T is the number of times the cardiac cycle is measured, P (T) is the instantaneous arterial pressure;
hemoglobin concentration Hb:
the hemoglobin is divided into oxyhemoglobin, reduced hemoglobin and nonfunctional hemoglobin, the concentrations of which are denoted as c 1 、c 2 、c 3 At least three wavelength light sources lambda 1 、λ 2 、λ 3 Absorbance change amount information Δa of (a) 1 、ΔA 2 、ΔA 3 The values of different haemoglobin can be obtained;
wherein K is 1 、K 2 、K 3 Reducing the absorption coefficients of hemoglobin and nonfunctional hemoglobin for oxyhemoglobin; delta L is the change of the length of the volume cross section and can be eliminated as a common factor; ΔA 1 、ΔA 2 、ΔA 3 Respectively, the absorbance change amounts at three different wavelengths are calculated according to the formula (3)Calculating c1, c2 and c3;
hemoglobin concentration is the sum of three protein concentrations:
Hb＝c 1 +c 2 +c 3 (4)
the absorbance change Δa is expressed as:
wherein I is max And I min Maximum and minimum values of the light intensity obtained by measurement;
arterial oxygen saturation SaO 2 ：
Wherein a and b are constants when determining the wavelength of light and the substance to be tested, and are determined according to a test;
under normal physiological conditions, arterial blood oxygen saturation is equal to pulse blood oxygen saturation, as follows:
SaO 2 ＝SpO 2 (7)
in the formula, saO 2 SpO, arterial oxygen saturation 2 Is pulse blood oxygen saturation;
the daily resting energy consumption calculation formula is as follows:
REE＝α×CO×Hb×(SpO 2 -θ) (8)
the software system (2) analyzes the real-time transmission signal to obtain RR interval t of each pulse i Thereby calculating the heart rate HR per beat i ：
Calculating heart rate variation ratio beta from heart rate per beat i
Substituting into a real-time human energy consumption calculation model:
EE＝(c×β-d)×REE (11)
wherein c and d are constants, beta is a heart rate variation ratio, EE is real-time energy consumption, and REE is resting energy consumption;
accumulating the results of the real-time energy consumption, and outputting the results in units of minutes;
when t 1 +t 2 +…+t n At=60, energy consumption per minute is output.
2. A human energy consumption monitoring device according to claim 1, characterized in that the carrier of the software system (2) comprises a mobile phone or a computer.
3. A method of operation of a human energy consumption monitoring device according to any one of claims 1-2 for human energy consumption monitoring, comprising the steps of:
step one: inputting user information and estimating resting energy consumption value
Inputting user information in the software system (2), including name, gender, height, weight, age;
step two: resting heart rate and resting energy expenditure detection
Resting heart rate HR is measured in resting state Rest And resting energy expenditure REE;
HR rest 、CO、Hb、SpO 2 Can be obtained by calculation through PPG signals with at least three sections of different wavelengths;
(1) Extracting resting heart rate HR Rest
(2) Acquisition of cardiac output CO, hemoglobin concentration Hb, pulse oximetry SpO by PPG Signal 2
(3) Calculating human resting energy consumption REE
Step three: human energy consumption real-time monitoring
After the user information is complete, the signal acquisition device (1) is worn to monitor the human energy consumption in real time;
the software system (2) sends a command for collecting resting heart rate and resting energy consumption, and drives the signal collecting device (1) to operate; the lower computer of the signal acquisition device (1) acquires multipath PPG signals in a user resting state and transmits the multipath PPG signals to the software system (2) to calculate the resting heart rate HR Rest Cardiac output CO, hemoglobin concentration Hb, pulse oximetry SpO 2 Resting heart rate and resting energy expenditure are acquired.
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