Wearable Nursing Device with Biosensor and Cloud Segmentation
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Solution Overview
Problem
Current solutions for elderly care, such as self-reminder cards, fail to provide comprehensive and real-time intelligent assistance, leading to difficulties in monitoring health conditions and ensuring safety, especially for those living alone, as they lack the ability to provide continuous and accurate tracking of position and health information.
Innovation Solution
A wearable intelligent nursing care device equipped with a monitoring unit that includes a biosensor and positioning module, which acquires real-time position and health information, and a control unit that determines safety and health conditions, transmitting alerts and health data to a cloud server and monitoring terminal, along with an online pharmacy unit for medicine dosage reminders and navigation assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a self-reminder card with pre-stored speech notification is used, then the elderly can receive basic reminders, but the system cannot provide comprehensive real-time health monitoring or prompt family members of health changes
Solution Approach 1:
The system is divided into three main segments: a wearable monitoring device with biosensors for health data collection, a cloud server for data processing and analysis, and a family member terminal for receiving alerts. This segmentation allows each component to focus on specific functions, improving reliability without requiring the entire system to be overly complex.
Solution Approach 2:
The cloud server acts as an intermediary between the wearable monitoring device and the family member terminal. It receives health data from the wearable device, processes the information, and sends notifications to family members when abnormalities are detected. This intermediary approach enables comprehensive monitoring while keeping the wearable device itself relatively simple.
2Productivity
If real-time position and health information monitoring is implemented, then comprehensive nursing care service is provided, but the device complexity and energy consumption increase
Solution Approach 1:
The wearable monitoring device integrates multiple functions including position tracking via GPS module, health parameter monitoring via biosensors (heart rate, blood pressure, blood sugar), and emergency alert capabilities. This multi-functionality allows a single device to provide comprehensive nursing care services, improving productivity while managing complexity through integration rather than multiple separate devices.
Solution Approach 2:
The system automatically monitors health parameters and position information, compares data against predefined thresholds, and sends alerts to family members without requiring manual intervention from the elderly user. The device serves itself by autonomously performing monitoring, analysis, and notification functions, thereby improving nursing care efficiency without proportionally increasing operational complexity.
3Measurement precision
If continuous health parameter monitoring is performed, then accurate health condition tracking is achieved, but energy consumption increases
Solution Approach 1:
The biosensors continuously monitor health parameters but the system transmits data to the cloud server at periodic intervals rather than continuously. The monitoring operates in cycles, collecting data continuously for accuracy while transmitting periodically to conserve energy. This approach maintains measurement precision while reducing the energy burden of constant communication.
Solution Approach 2:
The system implements feedback mechanisms where health data is continuously collected and compared against predefined normal ranges. When parameters remain within normal thresholds, the device enters a lower-power state with reduced transmission frequency. Only when abnormalities are detected does the system increase monitoring and transmission intensity, thereby maintaining measurement accuracy while optimizing energy consumption based on actual health status.
Data Source
AI summary
The present disclosure discloses an intelligent nursing care device, which is a wearable nursing care device and comprises a monitoring unit that acquires a position information and a health condition information of a wearer in real time, and a control unit that determines, based on the position information and the health information acquired by the monitoring unit, a safety condition and a health condition of the wearer, and transmits a determination result to at least one of a cloud server and a monitoring terminal. By wearing the intelligent nursing care device, an intelligent nursing care service and safety tracking service are provided to a wearer.