Portable Physiological Detection System with Segmented Sensor Array
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need for portable medical assessment devices that can detect and analyze physiological conditions in animals and humans, particularly for medical diagnosis and monitoring, which existing machine vision technologies have not adequately addressed, especially in the life sciences context.
Innovation Solution
A portable detection system employing multiple radiation emitters and sensors connected to a processing tool with a trainable artificial intelligence system to identify and analyze physiological conditions, which includes a scanner for monitoring changes in body states and an adjustable stimulus source to assess responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple radiation emitters and sensors are used to detect physiological conditions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The device segments the detection system into multiple independent radiation emitters and sensors, each capable of detecting specific physiological parameters. This segmentation allows for specialized detection of different physiological conditions while maintaining modular architecture that manages complexity.
Solution Approach 2:
The radiation emitters and sensors are designed with multi-functionality, where a single sensor array can detect multiple physiological parameters (temperature, humidity, respiration, heart rate) through different radiation types. This universality reduces the need for separate specialized devices for each parameter.
2Productivity
If a trainable AI system is integrated for real-time analysis, then productivity is improved, but use of energy increases
Solution Approach 1:
The AI system performs preliminary processing and filtering of sensor data before full analysis, pre-identifying patterns and anomalies that require detailed examination. This preliminary action reduces the computational load during real-time operation, lowering energy consumption while maintaining diagnostic speed.
Solution Approach 2:
The system implements periodic analysis cycles where the AI processes data at optimized intervals rather than continuously. During stable physiological states, analysis frequency is reduced, while increasing during detected anomalies. This periodic action maintains productivity while significantly reducing average power consumption.
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
Enables efficient detection and analysis of physiological conditions, allowing for real-time monitoring and response assessment, improving diagnostic capabilities in a portable and user-friendly manner.
Implementation Method 1
multiple radiation emitters for emitting multiple forms of radiation toward an animal body; multiple sensors for obtaining, in response to the multiple forms of radiation, body data representative of an area of the animal body
Data Source
AI summary
The techniques described herein relate to a system including: a housing including a gripping area and an exterior wall portion; a receptacle coupled to the housing, or at least partially defined by the housing; a sensor array, including a camera and an accelerometer, wherein the camera is located in an interior of the housing facing toward the exterior wall portion; and a communication nexus in communication with the sensor array including a processor coupled to memory. The processor can detect a tremor in a person using information from the camera and the accelerometer when the person holds the housing by the gripping area. The exterior wall portion can include a material that is opaque or reflective when viewed from the exterior of the housing but is translucent or transparent when viewed from the interior of the housing.