Fall Detection Using Sensor Devices in Smart Monitoring Safety Systems
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Solution Overview
Problem
Current healthcare monitoring systems require direct staff observation, which is inefficient and costly, especially in non-hospital settings like home healthcare, where there is a need for continuous patient safety monitoring without relying on caregiver vigilance.
Innovation Solution
A smart monitoring system comprising network-connected sensor devices with accelerometers, which are integrated into appliances and fixtures within a dwelling environment. These sensors detect movements and events, transmitting data to a computing device that analyzes the data to identify potential falls, determine if a fall has occurred, and assess recovery, triggering appropriate notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If direct staff observation is used for patient monitoring, then patient safety can be ensured, but monitoring efficiency decreases and costs increase
Solution Approach 1:
The system enables self-monitoring by deploying sensor devices that automatically detect patient activities, falls, and environmental conditions without requiring continuous staff observation. The sensors self-collect, transmit, and analyze data to provide real-time monitoring capabilities.
Solution Approach 2:
The patent replaces the mechanical human observation system with an automated sensor-based system. Accelerometers, motion sensors, and environmental sensors substitute for staff vigilance, providing continuous monitoring through electronic detection and communication networks.
2Productivity
If continuous automated monitoring is implemented, then monitoring efficiency improves, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into independent sensor devices distributed throughout the environment. Each sensor unit operates autonomously, collecting local data and transmitting it to a central processing unit, which divides the complex monitoring task into manageable segments.
Solution Approach 2:
The sensor devices are designed with multi-functionality, serving as both data collection points and communication nodes. The same devices monitor multiple parameters (motion, location, environmental conditions) and perform multiple functions (sensing, wireless transmission, local processing), reducing the need for separate specialized components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances patient safety and quality of life by providing continuous, automated monitoring that reduces the risk of falls and related injuries, while also enabling caregivers to receive timely alerts and insights into patient activities and well-being.
Implementation Method 1
at least one of the plurality of sensor devices comprising sensor elements including an accelerometer
Data Source
AI summary
A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, where at least one of the plurality of sensor devices comprises sensor elements including an accelerometer. The system further comprising a computing device operative to receive event signals from the plurality of sensor devices, identify a possible fall event from one or more of the plurality of sensor devices based on the event signals, sample sensor data from one or more of the plurality of sensor devices wherein the sensor data includes measurements of movement. The computer device is further operative to determine a fall has occurred based on the sampled sensor data, sample additional sensor data from the one or more of the plurality of sensor devices for additional motion at a period of time subsequent to the possible fall event, and determine a recovery from the fall based on the additional sensor data.