Instruction Guide
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1. The introduction of SEDA Care Management Mattress System
In home and hospital environments, bed is a basic and core unit for care service. Bed monitoring
could provide valuable information for nursing staff. The SEDA Care Management Mattress System
including sensing care mattresses and a care management system has been developed for bed monitoring
and health management in home and hospital applications. By adopting the soft sensing material and
exclusive viscoelastic material with the mattress, the care mattress is comfortable and also capable of
pressure ulcer prevention and motion sensing. Integrates with a care management system (CMS), the
mattress system could facilitate advanced care assistance as following：
(1) Pressure ulcer prevention
(2) 3-stage early bed exit alerts (Sitting, bed edge and off bed)
(3) Sleep quality report
By building the SEDA Care Management Mattress System, nursing staff can easily understand
current bed status and sleep quality of users, and further provide the necessary care for them. The
mattress system not only provides a good sleep environment for users but enhances care service
efficiency and quality in the place.
2. System introduction
In the system structure design, the bed is taken as the basic care unit. Figure 1 shows the system
structure of the SEDA Care Management Mattress System. The system includes sensing care mattresses
and a care management system (CMS). The CMS is formed with the data server, PC-based user interface
and APP-based user interface for care services.
Sensing care mattresses are implemented in each user’s room for bed monitoring. Through the Wi-Fi
data transmission, collected data will be sent to the data server of CMS and stored (The data server
application could be set as a local or cloud server depending on the user requirement). And Wi-Fi routers
could be added depending on the transmission distance. Powerful algorithms are implemented in the data
server of CMS, and the collected data are analyzed automatically. By displaying the analyzed results on
information board of CMS (PC or APP), nursing staff could understand the real-time bed status and
historical sleep data of users, and provide the service for them. The analyzed results are including the