Wearable ECG Patch With Noise-Canceling Circuitry for Long-Term Monitoring
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Solution Overview
Problem
Existing health monitoring devices lack robust and convenient systems for long-term data collection and real-time event monitoring, particularly in detecting intermittent cardiac anomalies and other physiological parameters with high accuracy.
Innovation Solution
A wearable health monitoring device with flexible circuitry and anisotropic conductive adhesive electrodes, integrated with ECG, pulse oximetry, and temperature sensors, capable of continuous data collection and analysis, including a driven right-leg circuit to reduce common mode noise, and a composite adhesive layer to minimize motion artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional health monitoring devices are used, then basic physiological parameters can be monitored, but the devices lack robustness for long-term data collection and real-time event monitoring
Solution Approach 1:
The monitoring system is divided into separate functional modules: sensor module for data collection, processing module for real-time analysis, and communication module for data transfer. This segmentation allows each module to be optimized independently for long-term reliability and continuous operation.
Solution Approach 2:
The device uses composite adhesive structures combining conductive and non-conductive materials to create stable electrode-skin interfaces that maintain signal quality over extended periods, enabling reliable long-term monitoring without signal degradation.
2Adaptability or versatility
If multiple sensors are integrated for comprehensive monitoring, then more physiological parameters can be detected, but noise interference and motion artifacts increase
Solution Approach 1:
A composite adhesive layer serves as an intermediary between the sensors and skin, providing mechanical coupling that reduces motion artifacts while the driven right-leg circuit acts as an electrical intermediary to cancel common-mode noise from multiple sensors.
Solution Approach 2:
The system converts motion artifacts containing physiological information into useful data by using accelerometers to detect movement patterns and correlating them with cardiac and respiratory signals, thereby extracting meaningful physiological parameters even during patient movement.
3Quantity of substance
If continuous long-term monitoring is implemented, then more data can be collected, but data management and analysis complexity increases
Solution Approach 1:
The processing module performs preliminary analysis and filtering of sensor data in real-time, pre-processing signals to extract key physiological parameters and remove artifacts before data is stored or transmitted, reducing the complexity of subsequent data management.
Solution Approach 2:
The system implements feedback mechanisms where processed data is continuously monitored and used to adjust sampling rates and processing parameters, optimizing data management efficiency while maintaining comprehensive monitoring capabilities.
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 continuous, reliable monitoring of multiple physiological parameters for up to two weeks with efficient data transfer and analysis, reducing noise interference and enhancing the detection of arrhythmias and other cardiac events.
Implementation Method 1
electrodes adapted to contact a human body to detect and monitor human generated voltages
Implementation Method 2
a light source and one or more photodetectors, such as LED-photodiode pairs, for optically based oxygen saturation measurements
Implementation Method 3
a temperature sensor
Implementation Method 4
an xyz accelerometer for movement and exertion measurements
Implementation Method 5
a circuit that mimics a driven right-leg circuit that may permit reduction in common mode noise
Data Source
Figure 1A
Figure 1B~1C
Figure 1D
AI summary
Systems, methods and devices for health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring.