Portable intelligent AI service and chronic disease management early warning medicine box
A smart pill box and portable technology, applied in the directions of feeding oral medicines, cardiac catheters, medicine containers, etc., can solve the problems of not being able to take medicine on time and in the amount, endangering the life, health and safety of patients, etc.
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Embodiment 1
[0027] A portable intelligent AI service and early warning medicine box for chronic disease management, such as Figure 1-3 As shown, including: wearable monitoring device 3, smart medicine box and remote server. The wearable monitoring device 3 includes: a retractable belt 301 on which a monitor 302 is fixed, and the monitor 302 is used for acquiring human body information and sending it to the smart medicine box through the first communication module. The intelligent medicine box includes: an intelligent control terminal 1 at the bottom of the box and an electronically controlled medicine box 2 . The monitor 302 adopts existing monitoring equipment according to different health indicators to be monitored. For example, for diabetes, use existing non-contact blood glucose meters or multi-function meter monitoring equipment for monitoring.
[0028]The intelligent control terminal 1 at the bottom of the box is provided with: a battery power supply module 101 , a second communi...
Embodiment 2
[0038] Based on the portable intelligent AI service and the chronic disease management early warning kit described in Embodiment 1, when the Anm value meets the preset second threshold of the corresponding parameter, the processor 104 sends the preset first threshold corresponding to the parameter to the remote server and the pre-stored emergency phone 2. Early warning instructions. The threshold is a danger threshold. When the blood sugar or blood pressure reaches the second threshold, it means that the patient is currently in a dangerous state. At this time, the processor 104 sends a preset second warning instruction corresponding to the parameter to the remote server and the pre-stored emergency phone, notifying the Set up medical institutions and contact persons to go to the location of the patient as soon as possible for treatment.
Embodiment 3
[0040] Based on the portable intelligent AI service and chronic disease management early-warning pillbox described in Embodiment 1, the security early-warning analysis further includes: firstly, taking the monitoring point / time as the X-axis, and taking the numerical range of A1m, A2m...Anm as the Y-axis axis, and establish X-Y1, X-Y2...X-Yn coordinate systems respectively. Then fill in the A1m, A2m...Anm values obtained each time into the corresponding coordinate system coordinates respectively. Then connect the A1m, A2m...Anm values of each coordinate system to form the change curves B1, B2...Bn, and calculate the slope of the change curves B1, B2...Bn at the A1m, A2m...Anm value points K1m, K2m...Knm. Finally, when the values in K1m, K2m...Knm are higher or lower than the preset third threshold value of the corresponding parameter, the processor 104 sends the preset third warning instruction corresponding to the parameter to the loudspeaker 105 and the remote server....
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