4results about How to "Satisfy physiological needs" patented technology

The invention discloses a sleep state closed-loop deep brain stimulation method and system based on a multi-modal signal, and the method comprises the steps: preprocessing an obtained electroencephalogram signal and an electromyographic signal, extracting multi-dimensional candidate features, and obtaining a core feature vector through screening; constructing a sleep state prediction model, inputting the core feature vector into the sleep state prediction model, and outputting a probability result of sleep state classification and a corresponding reliability index; executing multi-level physiological safety verification to obtain a target state, and allowing to output a state switching instruction when and only when the multi-level physiological safety verification is passed and the target state meets a preset stable condition; and continuously outputting a corresponding stimulation parameter set to the deep brain stimulation electrode based on a final target state corresponding to the state switching instruction. The problems that in the prior art, in the closed-loop regulation and control process, the sleep state recognition result is excessively relied on, and physiological safety constraint and stimulation continuity control are lacked are solved.

The utility model discloses an ergonomic dining chair with an angle adjusting function, which is characterized by comprising a base, a telescopic rod component, a chair seat frame, a chair seat cushion, a back frame, a chair backrest, a chair back connecting mechanism and a swinging reed, the chair seat frame is telescopically mounted above the base through the telescopic rod assembly; the chair seat cushion is detachably mounted on the chair seat frame; the back frame is vertically fixed on the rear side of the chair seat frame; the bottom end of the swinging reed is fixedly mounted on the chair back connecting mechanism; the chair back connecting mechanism is rotatably mounted below the back frame; and the chair backrest is mounted on the swinging reed and can swing back and forth relative to the chair back connecting mechanism. A linkage adjusting mechanism of the telescopic rod assembly and the chair back connecting assembly can meet the sitting posture requirements of people with different heights, the height of the chair seat and the inclination angle of the backrest can be adjusted and adapted, a dynamic function meeting the natural rhythm requirements of a human body is provided, and proper swinging movement can promote blood circulation and improve the long-time sitting comfort.

This utility model discloses a multi-layered, three-dimensional composite turtle and tortoise breeding shed, including walls. A first motor is fixedly connected to one side of the inner side of the wall, and a first rotating rod is fixedly connected to the output end of the first motor. A first shading cloth is wrapped around the outer surface of the first rotating rod. A second motor is fixedly connected to the other side of the inner side of the wall. This multi-layered, three-dimensional composite turtle and tortoise breeding shed, through the arrangement of the first rotating rod, the first shading cloth, the second rotating rod, the connecting rod, and the second shading cloth, allows the second motor to drive the second rotating rod to rotate. The connecting rope, through the hook, causes the first shading cloth to unfold, while the connecting rod causes the first support plate to separate from the second support plate, unfolding the second shading cloth to completely cover the top and sides of the shed, simulating a nighttime environment. The light intensity and shading time can be precisely adjusted as needed to better simulate the natural diurnal rhythm and meet the physiological needs of turtles and tortoises.

The invention provides a feed formula optimization, regulation and control method and system and a storage medium, and specifically, the method comprises the steps: building a nutritional ingredient probability distribution model to represent volatility through obtaining the cost, basic nutritional ingredients and historical batch data of to-be-selected feed raw materials; setting a standard nutritional requirement interval according to the physiological stage of the target cattle; constructing an interaction matrix to represent the synergistic and antagonistic effects of the nutritional ingredients, and calculating a formula nutritional ingredient vector; establishing an optimization model which takes the lowest total cost as a target and has the probability that components meet nutritional requirements greater than or equal to a confidence threshold; an improved particle swarm algorithm is adopted for solving, a learning factor is adjusted based on a comprehensive interaction effect index calculated by an interaction matrix, and the index reflects the interaction strength of the nutritional ingredients in the current formula.