CN-122004837-A - Lower limb abnormal gait tracing method and system combined with distributed joint sensing network

CN122004837ACN 122004837 ACN122004837 ACN 122004837ACN-122004837-A

Abstract

The invention discloses a lower limb abnormal gait tracing method and system combined with a distributed joint sensing network, and relates to the technical field of gait detection. The method comprises the steps of collecting lower limb movement data according to a distributed joint sensing network, uploading the lower limb movement data to a monitoring center, reconstructing the lower limb movement data into a functional information flow graph, carrying out double-pass joint judgment on the functional information flow graph by activating a gait tracing module embedded in the monitoring center to determine an abnormal gait tracing result, and carrying out early warning response and indication response on the abnormal gait tracing result at a terminal interface of the monitoring center. The method solves the technical problems that the prior art is difficult to accurately position the original disturbance joint of the abnormal gait of the lower limb, the misjudgment rate is high, and the abnormal source positioning is fuzzy, achieves the accurate tracing of the abnormal gait based on the distributed joint sensing network, improves the identification accuracy and the real-time early warning capability, and achieves the technical effect of rapidly judging the abnormal function of the lower limb.

Inventors

CAI ZHI
LIU WENHUI
Lai Huaqian

Assignees

广州华伟医疗设备有限公司

Dates

Publication Date: 20260512
Application Date: 20251215

Claims (10)

1. The lower limb abnormal gait tracing method combined with the distributed joint sensing network is characterized by comprising the following steps of: Collecting lower limb movement data according to a distributed joint sensing network, uploading the lower limb movement data to a monitoring center station, and reconstructing the lower limb movement data into a functional information flow diagram; The method comprises the steps of carrying out double-pass joint judgment on a functional information flow graph through activating a gait tracing module embedded in a monitoring center platform to determine an abnormal gait tracing result, wherein the double-pass joint judgment carries out first judgment through symmetrical comparison and self-comparison under gait cycle, carries out second judgment through information flow abnormality under a core disturbance mode, and takes the original disturbance source probability distribution based on judgment as output; And carrying out early warning response and indication response on the abnormal gait tracing result at the terminal interface of the monitoring center.
2. The method for tracing abnormal gait of a lower limb in combination with a distributed joint sensing network according to claim 1, wherein the steps of collecting lower limb movement data and uploading the lower limb movement data to a monitoring center station, reconstructing the lower limb movement data into a functional information flow graph comprise the steps of: the distributed key sensing network is deployed according to the physical structure of the lower limb, wherein main joints and key muscle segments are used as sensing deployment positions, and micro-motion radars and inertial measurement units are used as sensing types; And acquiring lower limb movement data by driving the distributed joint sensing network, transmitting back the data and performing reconstruction based on the transmission flow direction and strength by establishing communication interaction between the distributed joint sensing network and a data interface of the monitoring center, and generating the functional information flow diagram.
3. The method for tracing abnormal gait of lower limb in combination with the distributed joint sensing network according to claim 2, wherein the performing of the reconstruction based on the transfer flow direction and the intensity comprises: The joint-muscle functional unit is taken as a node, the information flow direction and the intensity are determined to be directed edges by introducing transfer entropy, and a directed weighted graph is constructed according to the lower limb motion data, wherein the transfer entropy is defined by transfer cause and effect and a transfer entropy value; And according to the time sequence, the directional weighted graph is dynamically changed, and the functional information flow graph is generated.
4. The method for tracing abnormal gait of lower limb in combination with the distributed joint sensing network according to claim 1, wherein the construction of the gait tracing module before activating the embedded gait tracing module in the monitoring center comprises the following steps: Deploying a first gait judgement device by symmetry comparison and self-comparison under gait cycle; Deploying a second gait judgement device according to the abnormal information flow in a core disturbance mode, wherein the core disturbance mode at least comprises information flow interruption, information flow compensation and information flow oscillation; and forming a gait tracing module according to the first gait judgement device, the second gait judgement device and the third tracing generator.
5. The method for tracing abnormal gait of lower limb by combining with the distributed joint sensing network according to claim 4, wherein the performing the two-way joint judgment on the functional information flow graph to determine the tracing result of abnormal gait comprises: inputting the functional information flow diagram into a first gait judging device, and outputting a first gait judging result; inputting the functional information flow diagram into a second gait judging device, and outputting a second gait judging result; and inputting the first gait judgment result and the second gait judgment result into a third traceability generator, and determining probability distribution as an abnormal gait traceability result by analyzing a disturbance propagation path, wherein the probability distribution indicates the probability value of each functional node as an original disturbance source.
6. The method for tracing abnormal gait of lower limb in combination with the distributed joint sensing network according to claim 5, wherein inputting the functional information flow graph into the first gait judgement device and outputting the first gait judgement result comprises: Determining a first side view and a second side view under the symmetrical pose by scanning the functional information flow graph; consistency comparison is carried out on the first side view and the second side view, and a judging result is determined; Determining a first gait cycle diagram and a second gait cycle diagram on the same side by scanning the functional information flow diagram; Consistency comparison is carried out on the first gait cycle diagram and the second gait cycle diagram, and two judgment results are determined; And taking the first judgment result and the second judgment result as a first gait judgment result, wherein the consistency judgment meets a preset tolerance interval.
7. The method for tracing abnormal gait of lower limb in combination with the distributed joint sensing network according to claim 5, wherein inputting the functional information flow graph into the second gait judgement device and outputting the second gait judgement result comprises: Matching the functional information flow template according to the motion mode; Judging the functional information flow graph under a multi-element core disturbance mode based on transfer entropy according to the functional information flow template, and determining a graph structure disturbance mode; and taking the disturbance mode of the graph structure as a second gait judgment result.
8. The method for tracing abnormal gait of the lower limb by combining the distributed joint sensing network according to claim 1, wherein the performing early warning response and indication response on the abnormal gait tracing result comprises the following steps: reading the abnormal gait tracing result and adding the abnormal gait tracing result into a temporary database; according to the temporary database, determining an abnormal gait pattern through periodic frequent item mining; and carrying out early warning management and indication management in the abnormal gait mode.
9. The lower limb abnormal gait tracing method combined with the distributed joint sensing network according to claim 8, wherein an early warning instruction is generated according to the mode type and the abnormal level; generating a first plan by performing a plan library match based on the abnormal gait pattern; And executing the early warning instruction and the popup window response of the first plan through the terminal interface of the monitoring center.
10. The lower limb abnormal gait tracing system combined with the distributed joint sensing network is characterized by being used for implementing the lower limb abnormal gait tracing method combined with the distributed joint sensing network according to any one of claims 1-9, and the system comprises the following steps: The data acquisition module acquires lower limb movement data according to the distributed joint sensing network and uploads the lower limb movement data to the monitoring center station, and the lower limb movement data is reconstructed into a functional information flow diagram; The abnormal judging module is used for carrying out double-pass joint judgment on the functional information flow graph through activating the gait tracing module embedded in the monitoring center to determine an abnormal gait tracing result, wherein the double-pass joint judgment carries out first judgment through symmetrical comparison and self comparison under gait cycle, carries out second judgment through information flow abnormality under a core disturbance mode, and takes the original disturbance source probability distribution based on judgment as output; and the abnormal early warning module is used for carrying out early warning response and indication response on the abnormal gait tracing result at the terminal interface of the monitoring center.

Description

Lower limb abnormal gait tracing method and system combined with distributed joint sensing network Technical Field The invention relates to the technical field of gait detection, in particular to a lower limb abnormal gait tracing method and system combined with a distributed joint sensing network. Background In modern rehabilitation medicine, sports science and old health care, the method has important significance for accurate detection and analysis of lower limb gait. Abnormal gait is often an important external manifestation of neurological disease, skeletal muscle injury or post-operative dysfunction. Conventional gait analysis methods rely on optical motion capture systems or single wearable inertial sensors, which provide basic kinematic parameters, but have significant limitations. The optical system is expensive and limited by laboratory environment, is difficult to monitor for a long time in a natural living state, and a single sensor can only provide local and isolated motion data, so that global insight on the cooperative working mode of each joint and muscle on the whole lower limb biomechanical chain is lacking. This results in the prior art being difficult to effectively distinguish normal physiological fluctuations from true pathological abnormalities from complex exercise information, and being unable to accurately trace the root cause of abnormal gait. Clinicians and therapists often rely on experience to infer, and lack objective, quantitative traceability tools, thereby affecting the accuracy and timeliness of rehabilitation interventions. Disclosure of Invention The application provides a lower limb abnormal gait tracing method and system combined with a distributed joint sensing network, which solve the technical problems that the original disturbance joint of the lower limb abnormal gait is difficult to accurately position, the misjudgment rate is high, and the abnormal source positioning is fuzzy in the prior art. In a first aspect of the present application, there is provided a lower limb abnormal gait tracing method in combination with a distributed joint sensing network, the method comprising: The method comprises the steps of acquiring lower limb movement data according to a distributed joint sensing network, uploading the lower limb movement data to a monitoring center, reconstructing the lower limb movement data into a functional information flow diagram, carrying out double-pass joint judgment on the functional information flow diagram through activating a gait tracing module embedded in the monitoring center, and determining an abnormal gait tracing result, wherein the double-pass joint judgment carries out first judgment through symmetry comparison and self comparison under gait cycle, carries out second judgment through information flow abnormality under a core disturbance mode, takes the original disturbance source probability distribution based on judgment as output, and carries out early warning response and indication response on the abnormal gait tracing result at a terminal interface of the monitoring center. In a second aspect of the present application, there is provided a lower extremity abnormal gait traceability system in combination with a distributed joint sensing network, the system comprising: The system comprises a distributed joint sensing network, a data acquisition module, an abnormality judgment module and an abnormality early warning module, wherein the distributed joint sensing network is used for acquiring lower limb movement data and uploading the lower limb movement data to a monitoring center station, the lower limb movement data are reconstructed into a functional information flow graph, the abnormality judgment module is used for carrying out double-pass joint judgment on the functional information flow graph through activating a gait tracing module embedded in the monitoring center station, and determining an abnormal gait tracing result, wherein the double-pass joint judgment is used for carrying out first judgment through symmetry comparison and self-comparison under gait cycle, carrying out second judgment through information flow abnormality under a core disturbance mode, and taking the original disturbance source probability distribution based on judgment as output, and the abnormality early warning module is used for carrying out early warning response and indication response on the abnormal gait tracing result at a terminal interface of the monitoring center station. One or more technical schemes provided by the application have at least the following technical effects or advantages: Firstly, synchronously monitoring a plurality of key joints and muscle segments of a lower limb by using a distributed joint sensing network, obtaining continuous motion data, and uploading the data to a monitoring center for processing. The monitoring center station analyzes the information flow direction and the intensity of the original data and reconstruc