Integrated automatic turning bed system
OwnerJinn-Biau Sheu, Kun-Chi Tsai +2inventors
InventorsJinn-Biau Sheu, Kun-Chi Tsai, Fu-Kang Lu, Hao-Jen Kao
Life of this patent
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Abstract
An integrated automatic turning bed system is provided. The system integrates the system controller with subsystems such as an electric turning bed, a pressure-sensing mattress, and/or an electronic diaper machine, and achieves comprehensive care for incapacitated bedridden people through automation and intelligence. By utilizing subsystem sensing and system controller to control and ensure the stability, reliability, and control accuracy of the system, the safety and comfort of the bedridden people can be ensured and care services are improved, which also effectively reduces the burden on caregivers at the same time.
Claims18
An integrated automatic turning bed system comprising a system controller and a plurality of subsystems connected to the system controller;
- wherein
- the system controller includes a central processing unit (CPU), and a system memory and an AI deep learning module connected to the CPU;
- the system memory includes a bedridden person database, a movement analysis database, and a movement module database;
- the subsystems include at least one electric turning bed, at least one pressure-sensing mattress, and at least one electronic diaper machine, which are connected to the CPU, respectively;
- wherein,
- the system controller is used to receive and store status feedback data from the electric turning bed, the pressure-sensing mattress, and the electronic diaper machine, the system controller sends out task execution signals to the electric turning bed, the pressure-sensing mattress, and the electronic diaper machine after calculation based on the status feedback data, in order to drive the subsystems to act according to the task execution signals;
- the AI deep learning module is used to read the bedridden person database, the movement analysis database, and the movement module database and perform calculations and learning based on the bedridden person database, the movement analysis database, and the movement module database, so as to output and store an AI recommended turning module that is suitable for the current needs of a bedridden person, for prompting caregivers to adapt to the turning mode of the bedridden person.
Dependencies are inferred from the claim text.