Body index evaluation device, method and system
By using body circumference to estimate body fat rate and combining body fat rate with height and weight to calculate other body indicators, the accuracy and stability of body fat rate detection in the prior art was solved, and a low-cost and high-accuracy body index evaluation was achieved, which was suitable for multi-faceted health screening.
Patent Information
- Application Number
- CN202411964555.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-11
AI Technical Summary
The prior art is greatly affected by moisture changes in body fat rate detection and cannot be suitable for patients equipped with implantable pacemakers. The hardware cost is high, and it depends on age parameters, and the accuracy is relatively low, making it difficult to calculate other physical indicators.
Body circumference is used to calculate body fat rate, and other body indicators are calculated by combining body fat rate with height and weight. Accurate body indicator evaluation is achieved through K-nearest neighbor algorithm and formulaic method.
It improves the accuracy and stability of body fat rate detection, does not rely on age parameters, and can achieve multiple physical screening on low-cost hardware. It is suitable for the detection of obesity and sarcopenia, reducing the cost of government disease screening.
Smart Images

Figure CN119811668A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of human body measurement, and in particular to a body index evaluation device, method and system. Background Art
[0002] At present, the most mainstream solution for measuring body fat is bioimpedance analysis (BIA), and the carrier for this technology is the body fat scale; its principle is to obtain the current value passing through the human body, use the current value to obtain the resistivity of the human body, and calculate the body fat rate based on the resistivity. However, both the four-point electrode and the more comprehensive eight-point electrode are extremely affected by water. The water content in the human body varies with time, environment and diet, so different test results will appear at different times and in different environments. Secondly, because the product involves electric current, it cannot be used for patients with implanted pacemakers. Thirdly, the related hardware used for bioelectric detection is generally expensive. Even for civilian body fat measuring instruments, their measurement costs are not cheap.
[0003] A Chinese invention patent application with publication number CN105534487A discloses a body fat percentage detection device, including: a weight measurement device, a height measurement device, a parameter setting device, a processing device and a result output device. The output ends of the weight measurement device, the height measurement device and the parameter setting device are all electrically connected to the processing device, and the output end of the processing device is electrically connected to the result output device. The parameter setting device includes an age parameter unit and a gender parameter unit. The gender parameter unit sets parameter 1 for males and parameter 0 for females. The processing device obtains the body fat percentage according to the formula 1.2×BMI+0.23×age-5.4-10.8×gender, where BMI=weight÷(height×height).
[0004] Although the above invention provides a method for detecting body fat percentage that does not rely on bioimpedance, it is dependent on age and has a relatively low accuracy rate; moreover, the invention patent application only involves the calculation of body fat percentage and it is difficult to calculate other body indicators. Summary of the invention
[0005] In response to the problems existing in the prior art, the purpose of the present invention is to provide an algorithm with better accuracy for calculating body fat percentage using body circumference and calculating other body indicators using body fat percentage; when the user inputs his or her own weight and body circumference, the algorithm will convert the body circumference into body fat percentage, and calculate the body indicators based on the body fat percentage and weight data; thereby at least providing a beneficial option or creating conditions for solving one or more technical problems existing in the prior art.
[0006] To achieve the above objectives, the present invention adopts the following technical solutions.
[0007] A method for evaluating body indicators, the basic concept of which is to calculate the user's body fat rate based on the user's waist circumference and gender, and then combine the body fat rate with the height and weight to infer one or more of the user's fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia assessment, water weight, mineral weight, protein weight and cellular water; the calculation method of the body fat rate is: male body fat rate = 36.4-((110-waist circumference)×0.6), female body fat rate = 48-((110-waist circumference)×0.6; the waist circumference value range is 60-110cm; fat mass = weight×body fat rate; weight units are kg and height units are meters.
[0008] More preferably, for men, subcutaneous fat = trunk fat + left and right hand fat + left and right foot fat, trunk fat = fat mass × 0.5, left and right hand fat = fat mass × 0.1, left and right foot fat = fat mass × 0.3; visceral fat weight = fat mass - subcutaneous fat.
[0009] More preferably, for men, dominant hand fat = left and right hand fat ÷ 2, dominant foot fat = left and right foot fat ÷ 2.
[0010] More preferably, for men, muscle mass = water weight + protein weight, water weight = body weight - fat mass - mineral weight - protein weight, protein weight = (body weight - fat mass - bone mass) × 0.213, mineral weight = body weight × 0.05, bone mass = (body weight - fat mass) × 0.05; trunk muscle = muscle mass × 0.9 × 0.51, left and right hand muscles = muscle mass × 0.9 × 0.13, dominant hand muscles = (left and right hand muscles / 2) × 1.04, non-dominant hand muscles = left and right hand muscles - dominant hand muscles, left and right foot muscles = muscle mass × 0.9 × 0.365, dominant foot muscles = (left and right foot muscles / 2) × 1.025, non-dominant foot muscles = left and right foot muscles - dominant foot muscles.
[0011] More preferably, for males, skeletal muscle = (body weight - fat mass - bone mass) × 0.6, intracellular water weight = skeletal muscle ÷ 1.25, extracellular water weight = skeletal muscle ÷ 2.1, edema index = extracellular water weight ÷ total water.
[0012] More preferably, for women, subcutaneous fat = fat mass × 0.9, trunk fat = subcutaneous fat - (left and right hand fat + left and right foot fat), left and right hand fat = subcutaneous fat × 0.14, dominant hand fat = left and right hand fat × 0.505, left and right foot fat = subcutaneous fat × 0.365, dominant foot fat = left and right foot fat × 0.502; visceral fat weight = fat mass - subcutaneous fat.
[0013] More preferably, for women, muscle mass = water weight + protein weight, water weight = body weight - fat mass - mineral weight - protein weight, protein weight = (body weight - fat mass - bone mass) × 0.2, bone mass = body weight × 0.035, mineral weight = body weight × 0.05; trunk muscles = muscle mass × 0.5, left and right hand muscles = muscle mass × 0.11, dominant hand muscles = left and right hand muscles × 0.505, non-dominant hand muscles = left and right hand muscles - dominant hand muscles, left and right foot muscles = muscle mass × 0.375, dominant foot muscles = left and right foot muscles × 0.502, non-dominant foot muscles = left and right foot muscles - dominant foot muscles.
[0014] More preferably, for women, skeletal muscle = (body weight - fat mass - bone mass) × 0.55, intracellular water weight = skeletal muscle ÷ 1.2, extracellular water weight = skeletal muscle ÷ 1.9, edema index = extracellular water weight ÷ total water.
[0015] On the other hand, the present invention also provides a physical index assessment device, which includes an information input module and an information output module, wherein the information input module includes a height input unit, a weight input unit, a waist circumference input unit, a body fat percentage input unit and a gender input unit, and the information output module is used to output one or more of fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia assessment, water weight, mineral weight, protein weight and cellular water.
[0016] More preferably, the body index assessment device is a handheld mobile device such as a mobile phone or a tablet, or a fixed computer.
[0017] On the other hand, the present invention further provides a body index evaluation system, which is used to implement the body index evaluation method as described above.
[0018] Compared with the prior art, the present invention has at least the following beneficial effects.
[0019] 1. The algorithm of the present invention uses body circumference to calculate body fat percentage and visceral fat level, and adopts K-nearest neighbor algorithm as the calculation method, while other body composition data items are summarized by collecting various body reports to summarize the correlation between each body index, and this is formulated to ensure that the concise algorithm can be calculated on the local device, thereby protecting the privacy of the user. In addition, the algorithm of the present invention does not require age as a parameter, which is very important for widespread popularization and maintaining accuracy.
[0020] Second, the present invention obtains relatively accurate data through extrapolation, and users can conduct preliminary physical screening in many aspects at a very low cost. It can also be used in the areas of obesity and sarcopenia to reduce the cost of government screening for related diseases.
[0021] 3. The present invention uses body circumference to calculate body fat percentage. Body circumference changes less and is more uniform in daily life. Even if the diet is suddenly changed, the rate of change of human body fat will not be as large as in the prior art. Therefore, body circumference can reflect this point well, and the data calculated using body circumference is more stable.
[0022] Fourth, through the body fat percentage input unit, the present invention can also use the body fat percentage data obtained by a third party (such as a skin fat clip) to directly use our core algorithm to calculate other body composition items, which is not limited to body circumference and also gives users greater freedom.
[0023] 5. In the core algorithm of the present invention, the use of body circumference to infer body composition can bring good accuracy and consistency; according to more than 50 InBody reports collected, when the body fat percentage is set to the same, the correlation coefficients of three main data can reach more than 99% consistency, including skeletal muscle: R=0.9926, water weight: R=0.9979, protein weight: R=0.9933. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1-Figure 4 Shown is a body index assessment output in one embodiment of the present invention.
[0025] Figure 5-Figure 6 Shown is a body index assessment output in another embodiment of the present invention.
[0026] Figure 7 Shown is a graph of the consistency verification results for skeletal muscle.
[0027] Figure 8 Shown is a graph of the consistency verification results for moisture weight.
[0028] Fig. 9 Shown is a graph of the consistency verification results of protein weight.
[0029] Fig.10 Shown is a graph of the consistency verification results for mineral weights. DETAILED DESCRIPTION
[0030] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0031] The specific implementation of the present invention is further described below in conjunction with the accompanying drawings.
[0032] A body index assessment method, the basic principle of which is: calculate the user's body fat percentage based on the user's waist circumference and gender, and then combine the body fat percentage, height, and weight to estimate the user's fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia assessment, water weight, mineral weight, protein weight and cellular water, etc.
[0033] Among them, the calculation method of body fat percentage is.
[0034] Male body fat percentage = 36.4-((110-waist circumference)×0.6).
[0035] Female body fat percentage = 48-((110-waist circumference)×0.6.
[0036] The waist circumference ranges from 60-110cm.
[0037] The algorithm for calculating other physical indicators based on body fat percentage for men is as follows.
[0038] Skeletal muscle = (body weight - fat mass - bone mass) × 0.6.
[0039] Protein = (body weight - fat mass - bone mass) × 0.213.
[0040] Mineral weight = body weight × 0.05.
[0041] Water weight = body weight - fat mass - mineral weight - protein weight.
[0042] Intracellular water weight = skeletal muscle ÷ 1.25.
[0043] Extracellular water weight = skeletal muscle ÷ 2.1.
[0044] Edema index = extracellular water weight ÷ total water.
[0045] Bone mass (bone weight) = (body weight - fat mass) × 0.05.
[0046] Muscle mass = water weight + protein weight.
[0047] Trunk muscle = muscle mass × 0.9 × 0.51.
[0048] Left and right hand muscles = muscle mass × 0.9 × 0.13.
[0049] Dominant hand muscles = (left and right hand muscles / 2) × 1.04.
[0050] Non-dominant hand muscles = left and right hand muscles - dominant hand muscles.
[0051] Left and right foot muscles = muscle mass × 0.9 × 0.365.
[0052] The main foot muscles = (left and right foot muscles / 2) × 1.025.
[0053] Non-dominant foot muscles = left and right foot muscles - dominant foot muscles.
[0054] Trunk fat = fat mass × 0.5.
[0055] Left and right hand fat = fat mass × 0.1.
[0056] Fat in dominant hand = fat in left and right hands ÷ 2.
[0057] Left and right foot fat = fat amount × 0.3.
[0058] The fat in the main leg = the fat in the left and right legs ÷ 2.
[0059] Subcutaneous fat = trunk fat + left and right hand fat + left and right foot fat.
[0060] Visceral fat weight = fat mass - subcutaneous fat.
[0061] The algorithm for women is as follows.
[0062] Skeletal muscle = (body weight - fat mass - bone mass) × 0.55.
[0063] Protein weight = (body weight - fat mass - bone mass) × 0.2.
[0064] Mineral weight = body weight × 0.05.
[0065] Water weight = body weight - fat mass - mineral weight.
[0066] Intracellular water weight = skeletal muscle ÷ 1.2.
[0067] Extracellular water weight = skeletal muscle ÷ 1.9.
[0068] Edema index = extracellular water weight ÷ total water.
[0069] Bone mass = body weight × 0.035.
[0070] Muscle mass = water + protein.
[0071] Trunk muscle = muscle mass × 0.5.
[0072] Left and right hand muscles = muscle mass × 0.11.
[0073] Dominant hand muscles = left and right hand muscles × 0.505.
[0074] Non-dominant hand muscles = left and right hand muscles - dominant hand muscles.
[0075] Left and right foot muscles = muscle mass × 0.375.
[0076] The main foot muscles = left and right foot muscles × 0.502.
[0077] Non-dominant foot muscles = left and right foot muscles - dominant foot muscles.
[0078] Trunk fat = subcutaneous fat - (fat in left and right hands + fat in left and right feet).
[0079] Left and right hand fat = subcutaneous fat × 0.14.
[0080] Dominant hand fat = left and right hand fat × 0.505.
[0081] Left and right foot fat = subcutaneous fat × 0.365.
[0082] The fat in the main foot = the fat in the left and right feet × 0.502.
[0083] Subcutaneous fat = fat mass × 0.9.
[0084] Visceral fat weight = fat mass - subcutaneous fat.
[0085] Reference Figure 1-Figure 4 As shown, in one embodiment, the output results of male body indicators are a male with a weight of 62 kg, a height of 152 cm, and a waist circumference of 87 cm.
[0086] According to the above calculation method, the output fat data is as follows: body fat percentage is 22.60%, fat weight is 62×22.60%=14.0kg, subcutaneous fat weight is 2.6kg, dominant hand fat weight is 0.7Kg, non-dominant hand fat weight is 0.7Kg, trunk fat weight is 7.0kg, dominant foot fat weight is 2.1kg, non-dominant foot fat weight is 2.1kg, visceral fat weight is estimated to be 1.4kg, visceral fat level is 9.5 (normal value <9).
[0087] The output muscle data are as follows: skeletal muscle 27.4kg, muscle mass 44.9kg, dominant hand muscle mass 2.73kg, non-dominant hand muscle mass 2.52kg, trunk muscle estimated value 20.6kg, dominant foot muscle estimated value 7.56kg, non-dominant foot muscle estimated value 7.19kg, sarcopenia assessment value 8.7 (SMI, skeletal muscle index; SMI value = total limb muscle weight ÷ height squared, height in meters).
[0088] Other body indicators are as follows: water weight 35.2kg, water content 56.7%, mineral weight 3.10kg, bone weight 2.4kg, protein 9.7kg.
[0089] Reference Figure 5 , Figure 6 As shown, in one embodiment, a simple calculation is performed by inputting waist circumference and weight, and the output body indicators are as follows: body fat percentage 22.60%, fat mass 14.01kg, subcutaneous fat weight 12.61kg, skeletal muscle weight 27.35kg, protein weight 9.71kg, mineral weight 3.10kg, body water ratio 56.74%, total body water 35.18L, and intracellular water 21.88L.
[0090] The present invention uses body circumference to calculate body fat percentage, and then uses body fat percentage to calculate other body indicators; when the user inputs his or her own weight and body circumference, the algorithm will convert the body circumference into body fat percentage, and use the body fat percentage in conjunction with the weight data to calculate the body composition. Since body circumference is used to calculate body fat percentage, the daily changes in body circumference are less and more uniform. Even if the diet is suddenly changed, the calculated human body fat change rate will not change as much as in the prior art. The data calculated using body circumference has stronger stability in changes, the results are relatively accurate, and the implementation is simple and convenient. Users can make preliminary physical screening in many aspects at a very low cost, and it can be used in the fields of obesity and sarcopenia, effectively reducing the government's screening costs for related diseases.
[0091] In addition, the present invention can also utilize body fat percentage data (such as a sebum clip) obtained by a third party to directly use our core algorithm to infer other body indicators, which is not limited to body circumference and also allows users greater freedom.
[0092] Reference Figure 7-Figure 9 As shown, based on more than 50 InBody reports collected, when the body fat percentage is set to the same, the correlation coefficients of three main data can reach more than 99% consistency, including skeletal muscle: R = 0.9926, water weight: R = 0.9979, protein weight: R = 0.9933, which shows that the core algorithm of the present invention has better accuracy and consistency.
[0093] It should be noted that a person skilled in the art can understand that all or part of the steps carried out in the method of the above-mentioned embodiment can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one of the steps of the method embodiment or a combination thereof.
[0094] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.
[0095] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.
Claims
1. A method for evaluating physical indicators, characterized in that: The user's body fat percentage is calculated according to the user's waist circumference and gender, and then the body fat percentage is combined with the height and weight to infer one or more of the user's fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia assessment, water weight, mineral weight, protein weight and cellular water weight; the calculation method of the body fat percentage is: male body fat percentage = 36.4-((110-waist circumference)×0.6), female body fat percentage = 48-((110-waist circumference)×0.6; the waist circumference value range is 60-110cm; fat mass = weight×body fat percentage; the unit of weight is kg and the unit of height is meter.
2. A method for evaluating physical indicators according to claim 1, characterized in that: For men, subcutaneous fat = trunk fat + left and right hand fat + left and right foot fat, trunk fat = fat mass × 0.5, left and right hand fat = fat mass × 0.1, left and right foot fat = fat mass × 0.3; Visceral fat weight = fat mass - subcutaneous fat; The fat in the dominant hand = the fat in the left and right hands ÷ 2, and the fat in the dominant foot = the fat in the left and right feet ÷ 2.
3. A method for evaluating physical indicators according to claim 1, characterized in that: For men, muscle mass = water weight + protein weight, water weight = body weight - fat mass - mineral weight - protein weight, protein weight = (body weight - fat mass - bone mass) × 0.213, mineral weight = body weight × 0.05, bone mass = (body weight - fat mass) × 0.05; trunk muscle = muscle mass × 0.9 × 0.51, left and right hand muscles = muscle mass × 0.9 × 0.13, dominant hand muscles = (left and right hand muscles / 2) × 1.04, non-dominant hand muscles = left and right hand muscles - dominant hand muscles, left and right foot muscles = muscle mass × 0.9 × 0.365, dominant foot muscles = (left and right foot muscles / 2) × 1.025, non-dominant foot muscles = left and right foot muscles - dominant foot muscles.
4. A method for evaluating physical indicators according to claim 3, characterized in that: For men, skeletal muscle = (body weight - fat mass - bone mass) × 0.6, intracellular water weight = skeletal muscle ÷ 1.25, extracellular water weight = skeletal muscle ÷ 2.1, edema index = extracellular water weight ÷ total water.
5. A method for evaluating physical indicators according to claim 1, characterized in that: For women, subcutaneous fat = fat mass × 0.9, trunk fat = subcutaneous fat - (left and right hand fat + left and right foot fat), left and right hand fat = subcutaneous fat × 0.14, dominant hand fat = left and right hand fat × 0.505, left and right foot fat = subcutaneous fat × 0.365, dominant foot fat = left and right foot fat × 0.502; visceral fat weight = fat mass - subcutaneous fat.
6. A method for evaluating physical indicators according to claim 1, characterized in that: For women, muscle mass = water weight + protein weight, water weight = body weight - fat mass - mineral weight - protein weight, protein weight = (body weight - fat mass - bone mass) × 0.2, bone mass = body weight × 0.035, mineral weight = body weight × 0.05; trunk muscle = muscle mass × 0.5, left and right hand muscles = muscle mass × 0.11, dominant hand muscles = left and right hand muscles × 0.505, non-dominant hand muscles = left and right hand muscles - dominant hand muscles, left and right foot muscles = muscle mass × 0.375, dominant foot muscles = left and right foot muscles × 0.502, non-dominant foot muscles = left and right foot muscles - dominant foot muscles.
7. A method for evaluating physical indicators according to claim 6, characterized in that: For women, skeletal muscle = (body weight - fat mass - bone mass) × 0.55, intracellular water weight = skeletal muscle ÷ 1.2, extracellular water weight = skeletal muscle ÷ 1.9, edema index = extracellular water weight ÷ total water.
8. A method for evaluating physical indicators, characterized in that: The user's body fat percentage is obtained, and then the body fat percentage is combined with the height and weight to calculate one or more of the user's fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia assessment, water weight, mineral weight, protein weight and cellular water weight.
9. A body index assessment device, characterized in that: Used to implement a body index assessment method as described in any one of claims 1 to 8, the device includes an information input module and an information output module, the information input module includes a height input unit, a weight input unit, a waist circumference input unit, a body fat percentage input unit and a gender input unit, and the information output module is used to output one or more of fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia assessment, water weight, mineral weight, protein weight and cellular water.
10. A physical index evaluation system, characterized in that: Used to implement a body index evaluation method as described in any one of claims 1-8.
Citation Information
Patent Citations
Body fat rate detection device
CN105534487A
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