Early cerebral apoplexy self-detection device and method
A detection device and stroke technology, which is applied in the direction of testing muscle strength, diagnostic recording/measurement, medical science, etc., can solve the problems of cumbersome inspection process, high cost, and inability to judge risks, so as to improve the level of detail, improve rationality, The effect of improving accuracy
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Embodiment 1
[0048] Embodiment 1, the self-testing device also includes a base plate 2 and a column 1 fixed on one side of the base plate 2, the display screen 31 is movably connected to the column 1 through a linear motor 8, the linear motor 8 is electrically connected to the controller 3, and the camera 4 is arranged on the display In the screen 31, there are two grip sensors 6 and are fixed on the bottom of the display screen 31, two photoelectric sensors 5 are arranged symmetrically on both sides of the display screen 31, and the base plate 2 is provided with a left foot detection area 21 and a right foot detection area. In area 22 , there are two pressure sensors and they are respectively arranged in the left foot detection area 21 and the right foot detection area 22 . The top of column 1 is provided with ultrasonic altimeter 7 electrically connected to controller 3 .
[0049] Wherein, the facial picture information includes left and right eye tilt angle information, left and right mo...
Embodiment 2
[0058] Embodiment 2, a self-detection method for early cerebral apoplexy, provides a detection device, including a controller 3, a detection mechanism, a base plate 2, and a column 1 fixed on one side of the base plate 2, and the detection mechanism is used to obtain the posture of the person being detected information and transmit the body posture information to the controller 3, and the controller 3 is used to process the received body posture information to produce the risk level of the subject suffering from cerebral apoplexy.
[0059]Detection mechanism comprises camera 4, grip sensor 6, photoelectric sensor 5 and pressure sensor, and camera 4 is used for obtaining the face picture information of detected person, and grip sensor 6 is used for detecting the grip value information of the left and right hands of detected person, and photoelectric sensor 5 uses The pressure sensor is used to detect the downward pressure information of the left and right feet of the detected pe...
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