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CN-122006129-A - Physiotherapy lamp irradiation regulating system and method based on human body state perception

CN122006129ACN 122006129 ACN122006129 ACN 122006129ACN-122006129-A

Abstract

The invention relates to the field of physiotherapy lamp irradiation regulation, and discloses a physiotherapy lamp irradiation regulation system and method based on human body state perception, comprising the steps of collecting behavior response signals, physiological response signals and posture stability signals of an irradiated human body in parallel, executing time synchronization, abnormal rejection and scale normalization processing, and constructing a physiotherapy state model; based on historical physiotherapy data and current human body state, extracting failure constraint factors from a physiotherapy state model, mapping the failure constraint factors into constraint boundary parameter sets, determining a state feasible region corresponding to an irradiation adjustment strategy, calibrating a state region exceeding the state feasible region into a failure risk region, constructing a three-layer constraint space structure, continuously tracking a human body state evolution track, generating a joint adjustment instruction, combining the determined state feasible region, dynamically switching an irradiation control mode, and synchronously updating the failure constraint factors and the state feasible region parameters to form an updated irradiation control state. The invention has the advantage of improving the fitness of physiotherapy.

Inventors

  • WANG XIANGLI

Assignees

  • 深圳一鸿照明有限公司

Dates

Publication Date
20260512
Application Date
20260205

Claims (10)

  1. 1. A physical therapy lamp irradiation adjusting method based on human body state sensing is characterized by comprising the following steps: the method comprises the steps of collecting behavior response signals, physiological response signals and attitude stability signals of an irradiated human body in parallel, performing time synchronization, abnormal rejection and scale normalization on the signals, and constructing a physical therapy state model representing evolution characteristics of the irradiated human body; Based on historical physiotherapy data and the current human body state, failure constraint factors reflecting physiotherapy failure risks, illuminated deviation trends and human body rejection response probabilities are extracted from a physiotherapy state model and mapped into constraint boundary parameter sets in the physiotherapy state model; Determining a state feasible region corresponding to the irradiation regulation strategy according to the constraint boundary parameter set, calibrating a state region exceeding the state feasible region as a failure risk region, and constructing a three-layer constraint space structure defining a human body state evolution path; continuously tracking a human body state evolution track based on a three-layer constraint space structure, and adjusting physiotherapy guidance and comfort guidance weights and executing comfort guidance adjustment when the track deviates from a failure risk area or a subjective feeling abnormality trend of a human body, so as to generate a joint adjustment instruction; And dynamically switching the irradiation control mode based on the track corrected by the joint adjustment instruction and combining the determined state feasible domain, and synchronously updating the failure constraint factor and the state feasible domain parameter in the mode switching process to form an updated irradiation control state.
  2. 2. The method for adjusting the illumination of a physiotherapy lamp based on human body state perception according to claim 1, wherein the process of constructing a physiotherapy state model representing the evolution characteristics of human body illuminated response is as follows: a multichannel sensor acquisition node is deployed in an irradiation area, and comprises a behavior action sensor, a heart rate and skin electric response sensor, a gesture detection device and an environment light intensity sensor; microsecond-level timestamp synchronization is carried out on each sensor signal, and signal consistency is ensured through filtering, outlier rejection and normalization algorithms; based on the processed multi-source signals, a multi-dimensional time sequence feature extraction and weighted fusion method is adopted to generate a feature sequence reflecting the evolution of the human body illuminated response, and a physical therapy state model representing the evolution feature of the human body illuminated response is constructed accordingly.
  3. 3. The method for adjusting illumination of a physiotherapy lamp based on human body state sensing according to claim 2, wherein the process of extracting failure constraint factors reflecting the risk of physiotherapy failure, the illumination deviation trend and the human body rejection response probability from a physiotherapy state model is as follows: Inputting the history data and the current human body state into a constructed physiotherapy state model; Generating state deviation probability distribution and trend estimation of the human body under different irradiation conditions by a statistical modeling and Bayesian updating method; And constructing multidimensional state representation of the physiotherapy state model by using probability distribution and trend as input, and predicting potential rejection response by applying a multitask regression analysis and reinforcement learning algorithm to generate a quantization failure constraint factor.
  4. 4. A method for adjusting illumination of a physiotherapy lamp based on human body state sensing according to claim 3, wherein the process of mapping to the constraint boundary parameter set in the physiotherapy state model is as follows: Dividing failure constraint factors into three layers of constraint spaces according to state sensitivity and time dependence according to multidimensional state characteristics of a human body, wherein the three layers of constraint spaces comprise low-risk, adjustable-risk and high-risk areas; Defining a specific numerical interval and evolution weight for each layer of boundary; And executing a dynamic mapping algorithm on each boundary parameter, and carrying out weighted fusion on probability values, weights and trend parameters of the failure constraint factors and evolution tracks of the current state and the historical state of the human body to generate a constraint boundary parameter set which can be adjusted in real time.
  5. 5. The method for adjusting illumination of a physiotherapy lamp based on human body state sensing according to claim 4, wherein the process of determining a state feasible region corresponding to an illumination adjustment strategy is as follows: taking the constraint boundary parameter set as input, and constructing a multi-dimensional irradiation parameter mapping matrix in a three-layer constraint space by combining the current multi-dimensional state characteristics of the human body; mapping parameters of light intensity, wavelength, illumination angle, duration to low risk, adjustable risk, and high risk areas; performing weighted fusion calculation on each parameter dimension and the corresponding risk area, and incorporating probability values, evolution trends and human body state sensitivities of constraint boundary parameters into weight factors; and (3) calling a multi-objective optimization algorithm to calculate the upper limit and the lower limit of each parameter, and allowing the step length and the safety margin to be changed to form a structured state feasible domain.
  6. 6. The method for adjusting illumination of a physiotherapy lamp based on human body state sensing according to claim 5, wherein the process of constructing a three-layer constraint space structure defining a human body state evolution path is as follows: calibrating a combined irradiation parameter outside a state feasible region as a failure risk region, and establishing low-risk, adjustable-risk and high-risk parameter levels in a three-layer constraint space; mapping each dimension to three-layer constraint space aiming at the multi-dimensional state characteristics of the human body, and defining a boundary function, a change interval and evolution weight for each layer; defining legal migration rules of a state evolution path in a constraint space, wherein the legal migration rules comprise an increase and decrease step length of a permitted state dimension, a parameter combination change direction and cross-layer migration conditions; And dynamically updating the boundary parameters and the migration rules, and carrying out weighted correction according to the multi-source signals acquired in real time to form a complete three-layer constraint space structure.
  7. 7. The method for adjusting the illumination of a physiotherapy lamp based on human body state sensing according to claim 6, wherein the continuous tracking of the evolution track of the human body state based on the three-layer constraint space structure comprises the following steps: Acquiring and recording multi-modal response data of a human body in the irradiation process, wherein the multi-modal response data comprise behavioral response, physiological response and gesture stability signals, and mapping each state dimension to a three-layer constraint space structure; Calculating the numerical position, the deviation degree and the cross-layer migration risk index of each state dimension in the constraint space, and generating a multi-dimensional state deviation matrix; according to legal migration rules of evolution paths defined in the three-layer constraint space, combining a multidimensional state deviation matrix, carrying out gradual time sequence tracking and analysis on human body state tracks, and identifying track sequences potentially deviating from a failure risk area; And (3) performing data annotation and indexing on the track sequence to generate a track mapping table.
  8. 8. The method for adjusting illumination of a physiotherapy lamp based on human body state sensing according to claim 7, wherein the process of generating the joint adjustment command is as follows: Taking a multidimensional state deviation matrix and a track mapping table as input, and quantifying the deviation amplitude, the deviation direction and the cross-layer migration risk of each state dimension in a three-layer constraint space; Weighting the quantized result, and constructing a deviation evaluation characterization by combining historical evolution information of a track mapping table; and calculating the irradiation guiding control parameters and the dimension weights of all states according to the deviation evaluation characterization and a preset weight adjustment algorithm to generate a joint adjustment instruction.
  9. 9. The method for adjusting illumination of a physiotherapy lamp based on human body state sensing according to claim 8, wherein the process of forming the updated illumination control state is as follows: Determining an applicable irradiation mode and a corresponding parameter combination according to the joint adjustment instruction and the current state; Calculating and updating failure constraint factors and state feasible domain parameters in real time, and mapping the current human body state to a feasible space of a selected mode; recording state mapping, irradiation parameter execution and constraint parameter updating conditions in the mode switching process, and outputting updated irradiation control states including irradiation modes, parameter configuration and state feasible domain mapping information.
  10. 10. A physiotherapy lamp illumination regulating system based on human body state sensing, applied to the method as claimed in any one of claims 1 to 9, comprising: the state modeling module is used for parallelly acquiring signals such as human body behaviors and heart rate, carrying out synchronization, abnormal elimination and normalization, and constructing a human body illuminated response evolution characteristic model; The constraint extraction module is used for extracting failure constraint factors such as failure risk, deviation trend, rejection probability and the like from the physiotherapy state model based on the historical physiotherapy data and the current state, and mapping the failure constraint factors into a constraint boundary parameter set; the feasible region dividing module is used for determining a state feasible region of the irradiation strategy according to the constraint boundary parameter set, marking a region beyond the feasible region as a failure risk region, and constructing a three-layer constraint space-defined state evolution path; The track analysis module is used for continuously tracking the evolution track of the human body state in the three-layer constraint space, and adjusting the irradiation weight to generate a joint adjustment instruction when deviating from a failure risk area or having an abnormal trend; And the mode management module is used for switching the irradiation mode according to the human body state track regulated by the joint regulation instruction, updating the failure constraint factor and the state feasible domain and generating an updated irradiation control state.

Description

Physiotherapy lamp irradiation regulating system and method based on human body state perception Technical Field The invention relates to the field of physiotherapy lamp irradiation adjustment, in particular to a physiotherapy lamp irradiation adjustment system and method based on human body state perception. Background In the existing physiotherapy lamp irradiation regulating system, the irradiation process is mainly controlled according to physical or physiological safety indexes such as human body surface temperature, irradiation time, output power and partial physiological parameters, so that injury to human bodies caused by overheat or excessive irradiation is avoided, however, in practical application, especially in people with weak postoperative rehabilitation, pain sensitivity, nervous tension or psychological bearing capacity, the patients are easy to generate tension, anxiety, fear or refusal and other emotion fluctuation in the physiotherapy receiving process, such emotion fluctuation usually causes subconscious avoidance behavior, muscle contraction, posture change or interruption physiotherapy, the originally set irradiation parameters cannot truly correspond to the actual irradiation state of the human body, the physiotherapy effect is unstable and even uncomfortable reaction occurs, in addition, the physiotherapy lamp system in the prior art has insufficient perception and quantification mechanisms of the emotion state of the patients, the regulating association relation between emotion change and irradiation parameters is not established, and real-time regulation cannot be performed when the physiological or psychological state of the human body changes, physiotherapy logic is limited to physical safety constraint only, psychological and neural response difference of different individuals are difficult to adapt, and the problems of poor physiotherapy experience and poor patient receiving degree are caused. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a physiotherapy lamp irradiation regulating system and method based on human body state perception, which have the advantage of improving physiotherapy adaptation degree and solve the problems in the background art. In order to achieve the aim of improving the fitness of physical therapy, the invention provides the following technical scheme that the physical therapy lamp irradiation adjusting method based on human body state perception comprises the following steps: the method comprises the steps of collecting behavior response signals, physiological response signals and attitude stability signals of an irradiated human body in parallel, performing time synchronization, abnormal rejection and scale normalization on the signals, and constructing a physical therapy state model representing evolution characteristics of the irradiated human body; Based on historical physiotherapy data and the current human body state, failure constraint factors reflecting physiotherapy failure risks, illuminated deviation trends and human body rejection response probabilities are extracted from a physiotherapy state model and mapped into constraint boundary parameter sets in the physiotherapy state model; Determining a state feasible region corresponding to the irradiation regulation strategy according to the constraint boundary parameter set, calibrating a state region exceeding the state feasible region as a failure risk region, and constructing a three-layer constraint space structure defining a human body state evolution path; continuously tracking a human body state evolution track based on a three-layer constraint space structure, and adjusting physiotherapy guidance and comfort guidance weights and executing comfort guidance adjustment when the track deviates from a failure risk area or a subjective feeling abnormality trend of a human body, so as to generate a joint adjustment instruction; And dynamically switching the irradiation control mode based on the track corrected by the joint adjustment instruction and combining the determined state feasible domain, and synchronously updating the failure constraint factor and the state feasible domain parameter in the mode switching process to form an updated irradiation control state. Preferably, the process of constructing the physical therapy state model for representing the evolution characteristics of the illuminated response of the human body is as follows: a multichannel sensor acquisition node is deployed in an irradiation area, and comprises a behavior action sensor, a heart rate and skin electric response sensor, a gesture detection device and an environment light intensity sensor; microsecond-level timestamp synchronization is carried out on each sensor signal, and signal consistency is ensured through filtering, outlier rejection and normalization algorithms; based on the processed multi-source signals, a multi-dimensional time sequence feature extraction and we