Non-contact ECG Detection via Wireless Signal Reflection
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Solution Overview
Problem
Current contact ECG signal measurement methods are cumbersome, uncomfortable for subjects, and pose a risk of infection for medical personnel, necessitating an improvement in efficiency and comfort during measurements.
Innovation Solution
A non-contact ECG signal detection device utilizing wireless signals and machine learning algorithms, including a processor, storage medium, and transceivers, to transmit and receive signals, preprocess, and decode ECG signals without physical contact, using transformer models for signal encoding and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If contact ECG signal measurement method using electrode patches is used, then ECG signal can be detected, but the process is cumbersome and increases workload of medical personnel
Solution Approach 1:
The patent replaces the mechanical contact-based electrode patch system with a wireless signal-based detection system. The transceiver transmits wireless signals that interact with the subject's body without physical contact, eliminating the need for manual electrode patch application and significantly reducing operational complexity and medical personnel workload.
Solution Approach 2:
The patent introduces wireless signals as an intermediary between the detection device and the subject's ECG signal. Instead of direct mechanical contact through electrodes, the system uses transmitted wireless signals that reflect off or interact with the body to capture ECG information, thereby simplifying the measurement process.
2Productivity
If contact ECG signal measurement method using electrode patches is used, then ECG signal can be detected, but it may cause discomfort to the subject
Solution Approach 1:
The patent eliminates mechanical contact with the subject's body by replacing electrode patches with wireless signal transmission. This substitution removes the source of physical discomfort associated with adhesive patches while maintaining the ability to detect ECG signals through non-contact wireless interactions.
3Productivity
If contact ECG signal measurement method using electrode patches is used, then ECG signal can be detected, but it increases the risk of disease infection for medical personnel
Solution Approach 1:
The patent replaces the mechanical contact system with a wireless electromagnetic field-based detection system. This eliminates direct physical contact between medical personnel and the subject, thereby removing the transmission pathway for disease infection while preserving ECG signal detection capability.
4Object-affected harmful factors
If non-contact detection device using wireless signals is used, then subject comfort is enhanced and infection risk is reduced, but device complexity increases
Solution Approach 1:
The patent uses wireless signals as an intermediary that simplifies the interaction between the detection device and the subject. While the signal processing backend is more complex, the front-end interaction becomes simpler and safer by eliminating physical contact, representing a trade-off that favors operational simplicity and safety.
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 non-contact ECG signal measurement, enhancing subject comfort, reducing the workload and infection risk for medical personnel, while improving the quality of clinical care by providing accurate and efficient ECG signal detection.
Implementation Method 1
transmits a first wireless signal and receives a first reflected signal corresponding to the first wireless signal
Data Source
AI summary
A non-contact detection device and detection method for an electrocardiogram (ECG) signal are provided. The detection method includes: transmitting a first wireless signal and receiving a first reflected signal corresponding to the first wireless signal; pre-processing the first reflected signal to generate a first processed signal; capturing a first embedding from the first processed signal; generating an estimated ECG signal according to the first embedding; and outputting the estimated ECG signal.