Intelligent gait conversion monitoring method and intelligent gait monitoring device

Abstract

The invention provides an intelligent gait conversion monitoring method and an intelligent gait monitoring device. The intelligent gait conversion monitoring method is realized based on the intelligent gait monitoring device. The gait monitoring device comprises a gait sensing part, a central collecting part and a power supply part, the gait sensing part at least comprises sensing terminal devices corresponding to a first distal phalanx sensing area, a first metatarsal bone head sensing area, a fifth proximal phalanx sensing area and a foot root bone sensing area respectively, and the sensing terminal devices are membrane switches; in the acquisition period of each landing support of the foot, the on-off duration data of each sensing area is acquired, and then the on-off duration data is compared with the correct motion gait data, and the motion gait is analyzed according to the difference degree of the on-off duration data and the correct motion gait data. According to the technical scheme, the gait analysis and evaluation model is greatly simplified, the gait analysis efficiency is improved, the technical defects that in the prior art, data arrangement and analysis are numerous and jumbled, adjustment is tedious, the device structure is complex, and the manufacturing cost is high are overcome, and the method has the technical advantage of being wide in applicability.

Description

Technical Field

[0001] This patent application relates to a collection and monitoring method and its device for judging whether the human body movement state needs correction, and particularly relates to a monitoring method and its device for conveniently judging whether correction is needed by effectively collecting human gait. Background Art

[0002] Walking or running, as a healthy fitness sport, can not only strengthen the body, but also make people more cheerful, happy, and have a positive and open-minded attitude, and is accepted by more and more people. However, long-term incorrect walking and running gaits will seriously induce foot and upward body lesions. For example, if a person has a long-term habit of landing on the heel first when running, the heel is frequently impacted by a large landing pressure, and the probability of developing Achilles tendinitis or calcaneal spur is much higher than that of people with a correct gait. Therefore, it is very necessary to design an intelligent monitoring device that can effectively obtain a person's walking or running posture for judging whether correction is needed, especially for convenient daily wear, so as to effectively display and warn of the damage caused by incorrect gaits to the body.

[0003] In the prior art, there are already various gait monitoring devices, including special intelligent monitoring devices, and various intelligent monitoring devices combined with insoles or shoes, such as patent documents CN109589088A and CN208837955U. The monitoring device sets gait sensors in each detection area of the sole part, and the sensors are pressure sensors. The sole force condition is reflected by the sole pressure data, and then used as the basis for judging the foot movement state. However, in practical applications, first, there is a problem of difficult determination of the sole pressure position. In addition to adjusting the sensor position according to the foot size, because each person has unique body shape and weight information, the existence of these factors increases the complexity of obtaining comparison condition information through the pressure distribution condition, and a comparison model also needs to be adjusted and set according to each person's unique body shape and weight information. The data adjustment operation is large and complex, resulting in technical problems such as poor applicability and low efficiency of such monitoring methods and devices, and accompanied by technical problems such as complex structure, inconvenient installation, high cost, and short detection accuracy retention period. Due to the above technical defects, the existing gait detection and monitoring devices and methods are difficult to effectively play their roles, making them unable to be popularized and widely applied, and unable to protect the physical health of fitness people who love walking and running. Summary of the Invention

[0004] The invention object of this patent application is to replace the existing gait monitoring method and device with a foot pressure collection object by a collection and monitoring method and device that can more simply and effectively reflect the human gait, improve the detection efficiency, and have a wider applicability, and provide a gait intelligent conversion monitoring method and an intelligent gait monitoring device.

[0005] The technical solution of the gait intelligent conversion monitoring method provided by this patent application mainly includes: A gait intelligent conversion monitoring method, which is implemented based on an intelligent gait monitoring device; among them, the gait monitoring device includes a gait sensing part, a central collection part, and a power supply part, and the gait sensing part is an induction terminal connected to the signal collection channel of the central collection part;

[0006] The gait sensing part at least includes sensing terminal devices corresponding to the first distal phalanx sensing area, the first metatarsal head sensing area, the fifth proximal phalanx sensing area, and the heel bone sensing area respectively;

[0007] The sensing terminal device is a membrane switch;

[0008] This method includes the following steps:

[0009] 1). Taking the duration from each time the foot touches the ground and supports until it leaves the ground as one acquisition cycle, and acquiring the on or off duration data of the membrane switches in each sensing area within each acquisition cycle;

[0010] 2). Analyze the motion gait based on the difference degree between the obtained induction duration data and the correct motion gait data.

[0011] One preferred option of the above overall technical solution is that in step 2) of the method: Obtain the duration sorting data of each sensing area group by grouping according to the sensing area group, and determine the ratio of the obtained duration sorting data of each group to the acquisition cycle to analyze the gait.

[0012] One preferred option of the above overall technical solution is that the normal ratio range of the induction duration of the first distal phalanx sensing area to the acquisition cycle is 60% - 82%; the normal ratio ranges of the induction durations of the first metatarsal head sensing area and the fifth proximal phalanx sensing area to the acquisition cycle are both 54% - 67%, and the normal ratio range of the duration data of the heel bone sensing area to the acquisition cycle is 45% - 60%.

[0013] This patent application also provides a technical solution for an intelligent gait monitoring device for implementing the gait intelligent conversion monitoring method, and its main technical content is:

[0014] An intelligent gait monitoring device, which includes a gait sensing part, a central collection part, and a power supply part, and the gait sensing part is an induction terminal connected to the signal collection channel of the central collection part;

[0015] The gait sensing part at least includes sensing terminal devices corresponding to the first distal phalanx sensing area, the first metatarsal head sensing area, the fifth proximal phalanx sensing area, and the heel bone sensing area respectively;

[0016] The sensing terminal device is a membrane switch.

[0017] One preferred option of the above overall technical solution is that the gait sensing part is fixedly assembled in the insole or shoe cavity corresponding to the position of each sensing area, and is connected to the collection channel of the central collection part via a signal line.

[0018] One of the preferred options of the above-mentioned overall technical solution is that the central acquisition part is provided with a wireless transmission unit for wireless data transmission with an upstream data processing platform.

[0019] One of the preferred options of the above-mentioned overall technical solution is that the central acquisition unit and the power supply unit are integrated into an integrated module worn on the human body.

[0020] The technical solutions of the intelligent gait conversion monitoring method and intelligent gait monitoring device disclosed in the present patent application use the time from the foot landing to the foot leaving the ground as the monitoring sensing data, which greatly simplifies the gait analysis evaluation model, makes it easy to implement group classification evaluation and obtain gait correction reference, greatly improves the efficiency of gait analysis, and overcomes the technical defects of the existing gait analysis methods and devices through pressure sensing, such as the evaluation model needs to be cumbersomely adjusted according to each individual, the adjustment is difficult, the analysis and comparison range is difficult to determine, the structure is complex, the cost is high, and the accuracy of pressure detection is difficult to ensure. The technical advantages of concise method, simple structure and wide applicability are overcome. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a practical state diagram of the intelligent gait monitoring device.

[0022] Figure 2 Schematic diagram of the locations of the sensing areas where the sensor terminals are located.

[0023] Figure 3 This is a block diagram of the composition of the intelligent gait monitoring device. DETAILED DESCRIPTION

[0024] The technical solution of this patent application will be described in detail below in conjunction with the embodiments in the accompanying drawings. Obviously, the specific embodiments described are only part of this solution, and all other embodiments obtained by ordinary technicians in this field based on the recorded technical content without making creative work also belong to the scope of protection required by this patent application. The "first" and "second" in the names are academic qualifiers for foot bones in medicine, and do not represent a conventional order or sequence.

[0025] The present gait intelligent conversion monitoring method is implemented based on an intelligent gait monitoring device.

[0026] The gait monitoring device comprises a gait sensing unit, a central collection unit and a power supply unit, wherein the power supply unit provides working power for the gait sensing unit and the central collection unit.

[0027] The described gait sensing part is a sensing terminal connected to the signal acquisition channel of the central acquisition part, preferably set on the corresponding sensing area of the insole 02, or set in the shoe cavity corresponding to each sensing area and connected to the acquisition channel of the central acquisition part through a signal line.

[0028] The described central acquisition part and power supply part are integrally arranged in the integrated module 04 worn by the human body. The integrated module 04 can be strapped around the ankle closest to the shoe 01 to minimize the signal line and reduce the possibility of line loss.

[0029] Such as Figure 1 and Figure 2 As shown, the gait sensing part at least includes sensing terminal devices respectively set corresponding to the first distal phalanx sensing area J1, the first metatarsal head sensing area J2, the fifth proximal phalanx sensing area J3, and the calcaneus sensing area J4. These sensing terminal devices are membrane switches, specifically single-key membrane switches.

[0030] The described central acquisition part preferably has a wireless transmission unit for wireless data transmission with the upstream data processing platform.

[0031] The method steps of this intelligent gait conversion monitoring method are as follows:

[0032] 1). The monitored person wears the shoe with this intelligent gait monitoring device. Taking the duration from each time the foot touches the ground and supports until it separates from the ground as one acquisition cycle, the central acquisition part acquires the closing duration data of the membrane switches in each sensing area within each acquisition cycle. It can continuously acquire several acquisition cycles, and numerically organize the data obtained from all acquisition cycles by grouping according to each sensing area, such as calculating the average value to obtain grouped data closer to the movement habits of the monitored person;

[0033] 2). Determine the ratio of the duration data of each group obtained according to the induction area group to the collection period, compare this ratio with the set normal gait ratio, and analyze the difference to obtain the unique movement gait of the monitored person. Taking the above four induction areas as an example, through a large number of repeated experiments and summaries, the normal ratio range of the induction duration of the first distal phalanx induction area J1 to the collection period should be 60% - 82%; the induction durations of both the first metatarsal head induction area J2 and the fifth proximal phalanx induction area J3 should account for the normal ratio range of 54% - 67% of the collection period, and the duration data of the heel bone induction area J4 should account for the normal ratio range of 45% - 60% of the collection period. If the data of each induction area are all within the above ratio range, it indicates that the movement gait of the monitored person is good; if not within the above ratio range, the movement gait of the monitored person is unhealthy. For example, in the case of flat-footed people, the data of the first distal phalanx induction area J1 and the heel bone induction area J4 on the sole will significantly exceed the above ratio range compared to normal people. Thus, a scientific basis for correcting the movement gait of the monitored person is obtained.

Claims

1. A gait intelligent conversion monitoring method, which is implemented based on an intelligent gait monitoring device; wherein, The described gait monitoring device comprises a gait sensing part, a central acquisition part, and a power supply part. The gait sensing part is an induction terminal connected to the signal acquisition channel of the central acquisition part; It is characterized in that the described gait sensing part includes at least sensing terminal devices corresponding to the first distal phalanx sensing area (J1), the first metatarsal head sensing area (J2), the fifth proximal phalanx sensing area (J3), and the heel bone sensing area (J4) respectively; the sensing terminal device is a membrane switch; This method includes the following steps: 1). Taking the duration from each foot landing and supporting to leaving the ground as one acquisition cycle, and acquiring the on or off duration data of the membrane switches in each sensing area within each acquisition cycle; 2). Analyzing the motion gait based on the difference degree between the obtained induction duration data and the correct motion gait data.

2. The gait intelligent conversion monitoring method according to claim 1, wherein, The second step of the described method is: obtaining the duration sorting data of each sensing area group by grouping according to the sensing area group, and analyzing the gait by determining the proportion of the obtained duration sorting data of each group in the acquisition cycle.

3. According to the gait intelligent conversion monitoring method described in claim 2, it is characterized in that the normal proportion range of the induction duration of the first distal phalanx sensing area J1 in the acquisition cycle is 60% - 82%; the normal proportion ranges of the induction durations of the first metatarsal head sensing area J2 and the fifth proximal phalanx sensing area J3 in the acquisition cycle are both 54% - 67%, and the normal proportion range of the duration data of the heel bone sensing area J4 in the acquisition cycle is 45% - 60%.

4. The gait intelligent conversion monitoring method according to claim 1, characterized in that The sensing terminal device is a single - key membrane switch.

5. An intelligent gait monitoring device for implementing any one of the gait intelligent conversion monitoring methods according to claims 1 - 4, comprising a gait sensing part, a central acquisition part, and a power supply part. The gait sensing part is an induction terminal connected to the signal acquisition channel of the central acquisition part; It is characterized in that the described gait sensing part includes at least sensing terminal devices corresponding to the first distal phalanx sensing area (J1), the first metatarsal head sensing area (J2), the fifth proximal phalanx sensing area (J3), and the heel bone sensing area (J4) respectively; the sensing terminal device is a membrane switch.

6. According to the intelligent gait monitoring device described in claim 5, it is characterized in that the described gait sensing part is fixedly assembled in the insole or the shoe cavity corresponding to the positions of each sensing area, and is connected to the acquisition channel of the central acquisition part through a signal line.

7. According to the intelligent gait monitoring device described in claim 5, it is characterized in that the described central acquisition part is provided with a wireless transmission unit for wireless data transmission with the upstream data processing platform.

8. According to the intelligent gait monitoring device described in claim 5, it is characterized in that the described central acquisition part and the power supply part are integrally arranged in an integrated module worn by the human body.

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