Compact Earpiece Physiological Monitor with Wireless Sensor Integration
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Solution Overview
Problem
Traditional health and environmental monitors are bulky, uncomfortable, and inefficient for daily physical activity, and existing methods for collecting and analyzing health and environmental statistics are costly and laborious.
Innovation Solution
Development of compact, wireless health and environmental monitors that integrate multiple sensors into small devices, allowing real-time data collection and transmission, including physiological and environmental data, using technologies like Bluetooth, Wi-Fi, or ZigBee, and enabling data processing and display through a wireless network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional health monitors are used, then monitoring function is provided, but the device is bulky and uncomfortable for daily physical activity
Solution Approach 1:
The patent combines multiple sensors (physiological and environmental) into a single integrated monitoring device that can be worn on the body. This merging of functions into one compact unit reduces the overall bulk while maintaining comprehensive monitoring capabilities, directly addressing the contradiction between device size and comfortability.
Solution Approach 2:
The monitoring device is designed to perform multiple functions simultaneously - detecting physiological parameters (heart rate, temperature, activity) and environmental parameters (pollution, weather) - making it a universal health and environment monitor. This multi-functionality eliminates the need for multiple separate devices, reducing bulk while enhancing operational value.
2Productivity
If traditional data collection methods are used, then health statistics are collected, but the process is expensive and laborious
Solution Approach 1:
The monitoring device automatically collects, processes, and transmits health and environmental data without requiring manual intervention. The system self-manages data acquisition from multiple sensors, wireless transmission to remote terminals, and preliminary processing, eliminating the need for human operators to manually record and analyze data, thereby improving productivity while reducing operational costs.
Solution Approach 2:
The patent replaces manual data collection methods with automated electronic sensing and wireless communication systems. Instead of human operators physically measuring and recording data, electronic sensors automatically detect physiological and environmental parameters and transmit them digitally, substituting mechanical/manual processes with automated electronic systems to reduce labor and cost.
3Productivity
If multiple sensors are integrated into small devices, then real-time monitoring is enabled, but device complexity increases
Solution Approach 1:
The monitoring device is segmented into distinct functional modules - physiological sensors (heart rate, temperature, activity), environmental sensors (pollution, weather), processing unit, and wireless communication module. This segmentation allows each component to be optimized independently while maintaining overall system manageability, enabling real-time monitoring without excessive complexity.
Solution Approach 2:
The patent introduces a processing unit that acts as an intermediary between the multiple sensors and the wireless transmission system. This intermediary component consolidates data from various sensors, performs preliminary processing and filtering, and prepares unified output for transmission, thereby managing the complexity of multiple sensor integrations while maintaining real-time monitoring capabilities.
Data Source
AI summary
Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.