Infant Motion Sensor System for Stress Level Detection
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Solution Overview
Problem
Current methods lack effective monitoring of stress indicators in neonates, which can divert critical caloric resources from basal and developmental efforts, necessitating a more reliable diagnostic tool for clinicians.
Innovation Solution
A system comprising a microenvironment with motion sensors and processors that detect and analyze infant motion to derive stress levels, integrated with environmental sensors to correlate environmental conditions and stress responses, enabling directed clinician interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stress monitoring is implemented in neonates, then clinician diagnostic capability is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex physiological monitoring equipment with a motion sensor system that captures infant movements. The processor then analyzes motion patterns to infer stress levels, substituting direct physiological measurement with indirect motion-based detection. This approach simplifies the hardware while maintaining diagnostic reliability.
Solution Approach 2:
The system uses motion patterns as an intermediary to infer stress levels. Instead of directly measuring stress indicators, the motion sensor captures physical movements, and the processor translates these movements into stress assessments. This intermediary approach enables reliable monitoring without requiring complex direct stress measurement equipment.
2Measurement precision
If motion sensors are used to monitor infant stress, then stress level detection is improved, but loss of information increases
Solution Approach 1:
The system changes the measurement parameter from direct physiological indicators to motion-based parameters. By monitoring movement patterns, velocity, and acceleration, the system infers stress levels through alternative parameters that can be captured by motion sensors. This parameter transformation enables stress detection while avoiding the need for invasive physiological measurements.
Solution Approach 2:
The patent substitutes direct physiological measurement systems with motion-based detection. The processor analyzes motion data to derive stress indicators, replacing the need for complex physiological sensing equipment. This substitution maintains measurement precision for stress assessment while avoiding information loss associated with limited physiological sensor capabilities.
Data Source
AI summary
A system for monitoring the physiological conditions of an infant includes an infant microenvironment. A motion sensor is disposed about the microenvironment. A processor is communicatively connected to the motion sensor. The processor receives motion signals from the motion sensors and processes the motion signals to derive an indication of a stress level of the infant. A method of monitoring the physiological condition of an infant includes detecting motion of the infant with motion sensors. A baseline motion for the infant is derived from the detected motion with a processor. An onset or change in at least one auxiliary parameter is monitored with an auxiliary sensor. Motion of the infant is monitored with the motion sensor after the onset or change in the at least one auxiliary parameter. A stress level of the infant is derived with the processor from the monitored motion of the infant.