TWI494078B - Health take-caring device - Google Patents

Description

Health care monitoring system

The invention relates to a health care monitoring system, in particular to a health care monitoring system for sensing the daily posture distribution and the amount of exercise by sensing the acceleration generated by the user's dynamics.

A conventional health care monitoring system, such as the conventional "pen pedometer" disclosed in the Republic of China Patent No. 431596, which is worn on a user's body and includes two micro switches, an arithmetic unit and a display. panel. The two micro-opening relationships are respectively used to detect the movement of the pen-shaped pedometer in the horizontal direction and the vertical direction; the arithmetic unit is connected to the two micro-switches, and the steps are performed after the two micro-switches are actuated Accumulating, and multiplying the accumulated total line progress number by a preset length [70 cm] to derive the total travel distance; the display panel is connected to the operation unit to display the total line progress or total travel distance accumulated by the operation unit .

However, although the conventional monitoring system described above can accumulate the number of walking steps and distances, there are still disadvantages as described below. Since the arithmetic unit only infers the total travel distance by multiplying the preset number of steps by the preset number of steps, but does not detect the frequency and the step size of the step, the monitoring system can only be applied to the calculation user running. Or the correct distance in one of the traveling modes, so if the heat consumed by the user is further inferred from the traveling distance, an error will occur due to the adjustment of the traveling mode that does not correspond to the user. In addition, since the above-mentioned conventional monitoring system can only accurately measure the total travel distance and total heat consumption under a certain traveling mode, and the general user's travel mode in daily life is very variable, the conventional monitoring system It is also not used to accurately measure the total distance traveled by the user in all modes of travel throughout the day and the total amount of heat consumed. For the above reasons, it is necessary to further improve the above-mentioned conventional monitoring system.

The object of the present invention is to provide a health care monitoring system for accurately monitoring and recording a plurality of modes of travel of a user, so as to improve the correctness of the analysis.

Another object of the present invention is to provide a health care monitoring system that detects all the working conditions, the amount of exercise, and the calories burned by a user for the purpose of complete health care.

The technical means of the present invention is: a health care monitoring system, comprising: a dynamic sensing unit, a signal storage unit and an operation module. The dynamic sensing unit senses a motion state of the plurality of time points in a sensing time, and generates a set of acceleration signals for each of the time points; the signal storage unit is connected to the acceleration sensing unit to receive and Storing an acceleration signal at each time point; the computing module is connected to the signal storage unit, defines a plurality of the time points as a peak time point according to the acceleration signal, and calculates the number of the peak positions as a step number, The reciprocal of the time difference between the two adjacent peak time points is taken as a step frequency, and the step frequency is converted into a step length, and then each step length is accumulated to obtain a total travel distance.

The above and other objects, features and advantages of the present invention will become more <RTIgt; A system architecture diagram of a health care monitoring system in accordance with a preferred embodiment of the present invention is shown. The health care monitoring system of the present invention is for wearing a wearing part fixed to a user, and the health care monitoring system comprises a dynamic sensing unit 1, a signal storage unit 2, an operation module 3 and a result display Unit 4. The dynamic sensing unit 1 is configured to sense the movement of the wearing part within a sensing time, and accordingly generate a set of acceleration signals for a plurality of time points in the sensing time, wherein each of the two adjacent ones The signal storage unit 2 is connected to the dynamic sensing unit 1 to store the acceleration signal. The computing module 3 is connected to the signal storage unit 2 and is calculated by the acceleration signal. An analysis index such as a total travel distance, a total heat consumption, and a posture distribution ratio in the sensing time is obtained; the result display unit 4 is connected to the operation module 3 and is configured to display the analysis index described above.

Referring to FIG. 1 again, the dynamic sensing unit 1 includes an accelerometer 11 for respectively following three mutually perpendicular axes of the dynamic sensing unit 1 when the dynamic sensing unit 1 is moved. Each acceleration value is measured to form the acceleration signal from the three acceleration values; and the signal storage unit 2 stores the acceleration signal at each time point in the sensing time.

The operation module 3 includes an attitude distribution calculation unit 31, a peak detection unit 32, a travel distance calculation unit 33, a dynamic quantization unit 34, and a heat calculation unit 35. The attitude distribution calculation unit 31 is connected to the signal storage unit 2 to receive the acceleration signals at each time point, and for each time point, the acceleration signal of a time point is Fourier transformed and then the square of the absolute value is added to obtain the total value. The energy value at the time point is obtained, and the tilt angle of the dynamic sensing unit 1 with respect to the gravity direction can be analyzed according to the gravity acceleration component in each axial direction at each time point. Further, the posture distribution calculation unit 31 presets an energy threshold value and a plurality of inclination angle ranges to compare and classify the energy values or the inclination angles of all the time points. In detail, the plurality of tilt angle ranges may include a standing angle range, a sitting angle range, and a lying angle range. When the energy value at any time point is greater than the energy threshold, it means that the health care monitoring system is in a moving state because the user is in the running state, and vice versa, including the user's standing posture, sitting posture and A static state of prone. According to this, when the energy value at any time point is less than the energy threshold value, the tilt angle is within the standing angle range, that is, the health care monitoring system correspondingly displays the standing posture of the user; the tilt angle is located The position of the sitting posture indicates that the health care monitoring system corresponds to the sitting posture of the user; and if the tilt angle is within the lying angle range, the health care monitoring system correspondingly indicates that the user is lying. In the situation. Thereby, the above-mentioned distinguishing manner can effectively perform preliminary analysis on all actions of the user during the sensing time, and estimate the percentage of the moving state and various static states relative to the sensing time as a The result of the pose distribution.

Then, the peak detecting unit 32 is connected to the attitude distribution calculating unit 31, and selects one of the three axial directions of the dynamic sensing unit 1 as a reference axis, and determines the sensing time as the The adjacent time points of the moving state are defined as a peak detecting period, and a Fourier transform of the acceleration value at the reference axis at any time point in the peak detecting period is obtained to obtain a main frequency. And dividing the preset frequency by the main frequency as a minimum step period, wherein the preset ratio may be 0.33. Therefore, firstly, a plurality of time points in the peak detection period are defined as pre-selected peak time points, and whether a time interval between any two adjacent pre-selected peak time points is greater than the minimum step period, if the time interval is If the time interval is less than the minimum step period, the former is defined as a peak time point, and the second pre-selected peak time point is defined as a peak time point. The latter is defined as the general time point. The method for defining the pre-selected peak time point is to calculate an acceleration value of the time point in the reference axis in the peak detection period, and determine whether the acceleration value at a time point is greater than a previous time point and a subsequent time point. The acceleration value at the time point, if the judgment result is "Yes", the time point is set to a pre-selected peak time point, otherwise it is set as the general time point. The travel distance calculation unit 33 is connected to the peak detection unit 32 and has a step frequency/step length comparison table. The travel distance calculation unit 33 defines each peak time point read by the peak detection unit 32 as the time of the user step, and thus can calculate the number of the peak time points in the peak detection period to obtain the movement. The number of steps in the state. At the same time, the travel distance calculation unit 33 can also calculate the step frequency of the user when traveling by the reciprocal of the time difference between the two adjacent peak time points, and obtain the step frequency according to the step frequency/step length comparison table. It is converted into a step length, and then the lengths of the steps in the moving state are accumulated to obtain the total travel distance.

On the other hand, the dynamic quantization unit 34 receives the acceleration signal at each time point, removes the gravity acceleration component of the three acceleration values of the acceleration signals at each time point, takes the absolute value and adds up, and obtains The total amount of acceleration at each of these points in time. The heat calculation unit 35 is also connected to the dynamic quantization unit 34, and the heat calculation unit 35 has a total acceleration amount/metabolic equivalent comparison table. Thereby, the calorie calculation unit 35 obtains the metabolic equivalents (METs) of each of the time points by using the total acceleration amount/metabolism equivalent table after receiving the total acceleration amount at each of the time points. Thereby, each of the obtained metabolic equivalent values is multiplied by a unit time difference between the respective time points to obtain the calorie consumption amount corresponding to each of the metabolic equivalent values, and then the calorific calories are summed, that is, A total amount of heat consumed during the sensing time is available.

It should be noted that the operation module 3 including the dynamic quantization unit 34, the posture distribution calculation unit 31, the peak detection unit 32, the travel distance calculation unit 33, and the heat calculation unit 35 may also be composed of a single microprocessor. The functions achieved by the above-mentioned units 31, 32, 33, 34 and 35 are provided.

Finally, the result display unit 4 is connected to the posture distribution calculation unit 31, the travel distance calculation unit 33, and the heat calculation unit 35 of the operation module 3 for displaying the posture distribution result, the number of steps, the total travel distance, and the total consumption. Heat. Wherein, as shown in FIG. 2, the attitude distribution result is preferably a pie chart showing the percentage of the standing, sitting and lying positions in the moving state and the static state during the sensing time. For example, in the example of FIG. 2, the sensing time may be selected as one day, "A1" indicates the moving state [ie, the user is in a traveling state], and "A2" indicates the static state. Standing posture [that is, the user is in a standing posture], "A3" indicates a sitting posture in the static state [ie, the user is in a sitting posture], and "A4" indicates a lying posture in the static state [ie, the user is lying down) The situation in the middle of the room].

In addition, as shown in FIG. 3, the heat calculation unit 35 may further divide the sensing time into a plurality of evaluation periods in advance, and calculate the total consumed heat of each of the evaluation periods, and then in the result display unit 4. The total calorific value of each evaluation period in the sensing time is sequentially displayed to obtain a calorie calorie scale for further data comparison and application by the user. For example, as shown in FIG. 3, the sensing time can be selected to be one day, and each of the evaluation periods is one hour.

In summary, the health care monitoring system of the present invention can not only monitor various traveling modes by the peak detecting unit 32 and the traveling distance calculating unit 33, but also further record various postures such as standing and sitting outside the traveling situation. Time and calorie consumption, so it can be effectively and accurately provided for users to understand their own work schedule, exercise volume and calories burned, for the purpose of health care.

While the present invention has been disclosed in its preferred embodiments, it is not intended to limit the scope of the present invention. The technical scope of the invention is protected, and therefore the scope of the invention is defined by the scope of the appended claims.

1. . . Dynamic sensing unit

11. . . Accelerometer

2. . . Signal storage unit

3. . . Computing module

31. . . Attitude distribution calculation unit

32. . . Peak detection unit

33. . . Travel distance calculation unit

34. . . Dynamic quantization unit

35. . . Calorie calculation unit

4. . . Result display unit

A1. . . Moving state

A2. . . Static posture

A3. . . Sitting position in a static state

A4. . . Static posture

Figure 1 is a system architecture diagram of a health care monitoring system in accordance with a preferred embodiment of the present invention.

Figure 2: A pie chart of the results of the pose distribution produced by the health care monitoring system of the preferred embodiment of the present invention.

Figure 3 is a diagram showing the calorific value of calories produced by the health care monitoring system of the preferred embodiment of the present invention.

1. . . Dynamic sensing unit

11. . . Accelerometer

2. . . Signal storage unit

3. . . Computing module

31. . . Attitude distribution calculation unit

32. . . Peak detection unit

33. . . Travel distance calculation unit

34. . . Dynamic quantization unit

35. . . Calorie calculation unit

4. . . Result display unit

Claims (6)

A health care monitoring system includes: a dynamic sensing unit for sensing a motion state of the dynamic sensing unit itself at a plurality of time points within a sensing time, and generating a group for each of the time points respectively An acceleration signal; a signal storage unit connected to the acceleration sensing unit to receive and store the acceleration signals at each time point; and an operation module connected to the signal storage unit, the operation module comprising: a posture distribution calculation The unit is connected to the signal storage unit. The attitude distribution calculation unit presets an energy threshold value and a plurality of tilt angle ranges. The posture distribution calculation unit converts the acceleration signals of the time points to the square of the absolute value after Fourier transform. The energy value at the time point is obtained by summing up, and the time point at which the energy value is greater than the energy threshold is defined as a moving state, and the time point at which the energy value is not greater than the energy threshold is a static state, and the posture distribution calculating unit Calculating a tilt angle of the dynamic sensing unit with respect to a gravity direction, and classifying the tilt angle to the plurality of tilt angles Any one of the surrounding; a peak detecting unit is connected to the attitude distribution calculating unit, and defines a plurality of the time points as a peak time point according to the acceleration signal; and a traveling distance calculating unit is connected to the Peak detection unit, And calculating the number of peak time points as a step number, taking the reciprocal of the time difference between two adjacent peak time points as a step frequency, and converting the step frequency into a step length, and then accumulating the step lengths to obtain A total distance traveled. The health care monitoring system according to claim 1, wherein the result display unit is connected to the operation module to receive and display at least one of the total travel distance and the number of steps. According to the health care monitoring system of claim 1, wherein the calculation module converts the total acceleration amount at each time point into a metabolic equivalent, and multiplies the time difference between the time points to add up To get a total calorie consumption. The health care monitoring system of claim 1, wherein the dynamic sensing unit comprises an accelerometer that senses acceleration values in three axial directions of the dynamic sensing unit to form the acceleration. Signal. According to the health care monitoring system of claim 1, wherein the peak detecting unit sets a main frequency and divides the main frequency by a preset ratio as a minimum step period, and the operation module is Defining a plurality of time points as pre-selected peak time points, and calculating whether a time interval between any two adjacent pre-selected peak time points is greater than the minimum step period, and if the time interval is greater than the minimum step period, the two pre-selected peak times The points are each defined as a peak time point; and if the time interval is less than the minimum step period, the former of the two pre-selected peak time points is defined as a peak time point. According to the health care monitoring system described in item 5 of the patent application scope, The peak detecting unit calculates the acceleration value of the acceleration signal at each time point in a reference axial direction, and determines whether the acceleration value at any time point is greater than the acceleration value of the previous time point and the subsequent time point, if judging The result is yes, that is, the time point is set to a preselected peak time point.