Automated Medicament Delivery Device Fall Detection and Alert System
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Solution Overview
Problem
Automated medicament delivery devices often lack effective mechanisms for patient protection, management, and communication, particularly in scenarios where patients may fall or misplace the device, leading to inadequate medicament administration and delayed caregiver alerts.
Innovation Solution
The implementation of a method and device that utilize motion sensors to detect falls by sampling motion data, determining resultant values, and comparing these values to a fall threshold, while also enabling communication through tap sequences and alerts sent to caregivers via cloud servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors are continuously monitored at high frequency to detect falls, then fall detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic sampling of motion sensor data at predetermined frequencies rather than continuous monitoring. The buffer stores resultant values for a specific time window, and fall detection occurs periodically by comparing maximum and minimum values in the buffer against threshold values, reducing energy consumption while maintaining detection accuracy
Solution Approach 2:
The system applies a buffer mechanism that stores multiple resultant values over a time window, allowing partial processing of motion data. By comparing only the maximum and minimum values in the buffer against thresholds, the system achieves adequate fall detection without processing every single motion sample, balancing accuracy and energy use
2Loss of information
If the controller provides constant visual and audible alerts to the patient, then patient awareness of alerts is improved, but patient annoyance and distraction increase
Solution Approach 1:
The system introduces a cloud server as an intermediary between the automated medicament delivery device and the caregiver. Alerts are transmitted through this intermediary, allowing the patient's device to remain relatively quiet while ensuring reliable notification delivery to the caregiver through multiple communication channels
Solution Approach 2:
The system implements feedback loops where alerts are sent to caregivers who can then respond appropriately. The cloud server acknowledges receipt of alerts and provides status feedback, creating a communication loop that reduces the need for constant local alerts to the patient while ensuring important notifications are delivered
3Reliability
If the device includes comprehensive communication and monitoring features, then patient safety and caregiver communication are improved, but device complexity increases
Solution Approach 1:
The cloud server acts as an intermediary that handles complex communication tasks, alert management, and data processing externally. This allows the patient's wearable device to remain relatively simple while still providing comprehensive safety monitoring and caregiver communication through the cloud infrastructure
Solution Approach 2:
The cloud server provides universal functionality that serves multiple purposes: storing alert history, managing communication between device and caregiver, processing motion data, and coordinating responses. This multi-functional approach consolidates complexity into a single external system rather than distributing it across multiple components in the wearable device
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
This solution effectively detects falls, ensures timely alerts to caregivers, and maintains medicament delivery management, thereby enhancing patient safety and caregiver communication.
Implementation Method 1
obtaining motion data by sampling the motion sensor of an automated medicament delivery device
Data Source
AI summary
Systems and methods for patient protection, management, and communication are disclosed. The methods include utilizing data captured by the automated medicament delivery device to detect a fall of the patient and analyze a post fall recovery of the patient, receiving inputs and commands at the automated medicament delivery device, providing alerts at the automated medicament delivery device, processing alerts triggered at the automated medicament delivery device, triggering alerts at the automated medicament delivery device, and customizing alerts provided at the automated medicament delivery device.