Wearable Physiological Data Acquirer with Automatic Activation
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Solution Overview
Problem
Wearable physiological data acquisition systems face challenges in efficiently acquiring and transferring data over long periods and in reducing noise interference, particularly from external and physiological sources like EMG signals, which affect ECG signal quality.
Innovation Solution
The system employs a bandage-like housing with integral connectors for electrodes, featuring multiple independent electrical paths and an analog switch for automatic activation and data acquisition, along with a data extraction method using snap-button connectors for efficient data transfer and noise reduction techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is recorded in built-in memory and transferred externally after recording, then data storage capability is improved, but manual intervention complexity increases and hygiene issues arise
Solution Approach 1:
The patent replaces the mechanical system of manually cutting the water-resistant enclosure with an electronic data transfer system. The physiological data acquirer includes a data transfer interface that enables wireless or wired electronic transmission of recorded data to external devices, eliminating the need for manual disassembly and reducing contamination risk.
Solution Approach 2:
The device enables automatic data transfer functionality where the physiological data acquirer can autonomously transfer recorded data to external devices through integrated communication interfaces, reducing the need for manual intervention in the data extraction process.
2Device complexity
If conventional signal processing techniques are used to remove EMG noise, then processing simplicity is maintained, but ECG signal quality deteriorates due to comparable frequency content
Solution Approach 1:
The patent segments the ECG processing into multiple independent channels, each with its own signal processing chain. This allows for channel-specific filtering and noise removal techniques to be applied, improving the ability to distinguish ECG signals from EMG noise while maintaining processing manageability through modular architecture.
Solution Approach 2:
The patent introduces intermediate processing stages including analog filtering before digitization and digital signal processing after acquisition. These intermediary steps enable progressive noise removal at different stages of the signal chain, improving ECG quality while keeping individual processing steps relatively simple.
Data Source
AI summary
One of the methods includes positioning the physiological data acquirer on the body of a mammal with the electrodes exposed to the body; activating a data acquisition mode of operation of the physiological data acquirer and acquiring physiological data from the user when in said data acquisition mode. Another one of the methods includes extracting the acquired data using a data extraction device.


