Compact Wireless Physiological Patch With Modular Sensor Array
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Solution Overview
Problem
Conventional wireless health monitoring systems are often bulky, expensive, and lack flexibility, making them inadequate for monitoring a wide range of physiological parameters in large populations and are not compatible with concurrent use with other medical equipment, requiring costly and time-consuming hardware and software modifications for different applications.
Innovation Solution
A compact wireless platform with a plurality of sensors and a communication interface that can be attached to a subject, allowing for multiple applications to be executed on a mobile device, enabling the monitoring of various activities such as cardiac care, sleep apnea, and athlete fitness, with a modular design comprising disposable and reusable portions for easy adaptation and data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional wireless health monitoring systems are designed for a fixed application with specific sensors and software, then the system can achieve high measurement precision for that specific application, but the device complexity and cost increase when needing to accommodate different applications
Solution Approach 1:
The wireless platform is designed with a universal architecture that can support multiple applications through software configuration rather than hardware changes. The platform includes a plurality of sensors capable of measuring different physiological parameters and a processor that can be programmed to execute different applications, allowing the same hardware to serve multiple functions without requiring costly modifications.
2Adaptability or versatility
If the entire system is deconstructed and reconstructed to accommodate different applications, then the system can adapt to new applications, but the loss of time and manufacturing cost increase significantly
Solution Approach 1:
The system employs dynamic software configuration where different applications can be loaded and executed on the wireless platform without physical reconfiguration. The processor can be programmed to execute various applications that utilize different combinations of sensors, allowing the system to adapt to new monitoring needs through software updates rather than hardware reconstruction, thereby reducing reconfiguration time.
3Ease of manufacture
If conventional systems are designed with specific hardware for a single application, then the manufacturing cost is optimized for that application, but the adaptability to other applications is limited
Solution Approach 1:
The wireless platform incorporates a universal sensor array and processor architecture that can be manufactured once and then used across multiple applications. The platform includes clinical-grade sensors for ECG, respiration, temperature, and other parameters that can be configured through software to support various monitoring applications, eliminating the need to manufacture separate systems for each application while maintaining manufacturing efficiency.
4Measurement precision
If the wireless platform uses clinical-grade sensors for accurate physiological monitoring, then the measurement precision is improved, but the device complexity and cost increase
Solution Approach 1:
The system merges multiple clinical-grade sensors into a single integrated wireless platform that can be attached to a subject's body. The platform combines ECG electrodes, respiration sensors, temperature sensors, and other clinical-grade measurement devices into one unified system with a single processor that coordinates all sensors, reducing the overall complexity compared to having separate systems for each measurement type.
Data Source
AI summary
A compact integrated patch may be used to collect physiological data. The patch may be wireless. The patch may comprise a plurality of sensors, each sensor configured to collect different health related data from a subject to which the patch is attached, and a communication interface configured to wirelessly and directly communicate with a mobile device, wherein the mobile device is capable of running a plurality of applications, wherein each application of said plurality is configured to utilize data from different subsets of sensors from the plurality of sensors, to provide different monitoring activities for the subject. The patch may be utilized in everyday life as well as in clinical environments.