18293888. ELECTROCARDIAC SIGNAL ANALYSIS DEVICE simplified abstract (MAXELL, LTD.)
Contents
- 1 ELECTROCARDIAC SIGNAL ANALYSIS DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTROCARDIAC SIGNAL ANALYSIS DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Electrocardiac Signal Analysis Device
- 1.13 Original Abstract Submitted
ELECTROCARDIAC SIGNAL ANALYSIS DEVICE
Organization Name
Inventor(s)
Satoshi Matsunuma of Kyoto (JP)
Reiji Hattori of Kasuga-shi (JP)
ELECTROCARDIAC SIGNAL ANALYSIS DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18293888 titled 'ELECTROCARDIAC SIGNAL ANALYSIS DEVICE
Simplified Explanation
An electrocardiac signal analysis device measures the heart rate of a subject in a non-contact state using detection electrodes and active guard circuits to reduce noise. The device calculates an autonomic nerve index and Lyapunov exponent to evaluate the subject's health condition accurately.
- Measures heart rate of subject in a non-contact state
- Reduces noise in signals using active guard circuits
- Calculates autonomic nerve index and Lyapunov exponent for health evaluation
Key Features and Innovation
- Detection electrodes of a capacitive coupling type for non-contact heart rate measurement
- Active guard circuits to reduce noise in signals
- Calculation of autonomic nerve index and Lyapunov exponent for health evaluation
Potential Applications
This technology can be used in healthcare settings for monitoring patients' heart rates and assessing their health conditions. It can also be applied in research settings for studying autonomic nerve activity and heart rate variability.
Problems Solved
- Accurate evaluation of a subject's health condition
- Non-contact measurement of heart rate in daily environments
- Reduction of noise in electrocardiac signals
Benefits
- Improved health monitoring capabilities
- Enhanced accuracy in evaluating health conditions
- Non-invasive measurement of heart rate
Commercial Applications
Title: Non-Contact Heart Rate Monitoring Device for Health Assessment This technology can be commercialized as a wearable device for continuous heart rate monitoring in various settings, including offices, gyms, and hospitals. It can also be integrated into healthcare systems for remote patient monitoring.
Prior Art
Further research can be conducted on similar devices using capacitive coupling for non-contact heart rate measurement and noise reduction techniques in electrocardiac signal analysis.
Frequently Updated Research
Researchers are continuously exploring new methods for analyzing electrocardiac signals and improving the accuracy of health assessments using non-contact measurement techniques.
Questions about Electrocardiac Signal Analysis Device
How does the device calculate the autonomic nerve index?
The device linearly analyzes the electrocardiac signal to calculate the autonomic nerve index, which provides insights into the subject's autonomic nervous system activity.
What is the significance of calculating the Lyapunov exponent in this context?
The calculation of the Lyapunov exponent helps assess the complexity and predictability of the subject's heart rate dynamics, offering valuable information about their health status.
Original Abstract Submitted
An electrocardiac signal analysis device measures an electrocardiac signal of a subject in a daily environment such as an office. The electrocardiac signal is analyzed by a plurality of methods, contributing to accurate evaluation of a health condition of the subject. A measurement unit includes a pair of detection electrodes of a capacitive coupling type that detect a heart rate of a subject in a non-contact state and output the heart rate as primary signals. A pair of active guard circuits reduce noise in the primary signals and output secondary signals. A potential difference of the secondary signals is amplified and output as an electrocardiac signal. A feedback electrode is configured to remove an influence of an in-phase signal of the secondary signals. An analysis unit linearly analyzes the electrocardiac signal to calculate an autonomic nerve index, and nonlinearly analyzes the electrocardiac signal to calculate a Lyapunov exponent.
