NFC Patch Biosensor for Non-Invasive Cardiac Pressure Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for monitoring cardiac health are invasive, require expensive equipment, and skilled operators, limiting their applicability, and there is a need for non-invasive, portable solutions that can accurately measure cardiac pressures and functions for early diagnosis and management of heart diseases.
Innovation Solution
A wearable, non-invasive biosensor system using near-field communication (NFC) technology that captures electrocardiogram (ECG) signals and composite vibration data to monitor cardiac time intervals, allowing for a battery-less, single-patch design that powers itself with radio-frequency signals, enabling hemodynamic assessments and heart-lung function analysis on a smartphone or remote monitoring station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive monitoring methods are used, then measurement precision is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent replaces invasive mechanical catheter-based pressure monitoring with a non-invasive wearable biosensor that uses acoustic and vibration sensors to detect cardiac signals through the chest wall. This substitution eliminates the need for complex invasive equipment while maintaining measurement capability through alternative physical principles (acoustic wave detection).
Solution Approach 2:
The system creates a simplified model of invasive monitoring by using surface acoustic waves and vibrations that replicate the information obtained from internal pressure measurements. The wearable device captures cardiac acoustic signals that correlate with intracardiac pressure changes, providing a non-invasive copy of the diagnostic information without requiring actual intrusion into the cardiovascular system.
2Measurement precision
If invasive monitoring methods are used, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The patent replaces complex invasive procedures requiring skilled operators with a simple wearable biosensor that automatically detects and processes cardiac signals. The acoustic and vibration sensors continuously monitor cardiac activity without requiring manual intervention or specialized surgical skills, making the system accessible to non-specialists.
Solution Approach 2:
The wearable biosensor system performs self-calibration and automatic signal processing, eliminating the need for operator intervention. The device autonomously captures acoustic signals, processes them through algorithms to extract cardiac parameters, and provides measurements without requiring skilled operators to perform complex setup or interpretation procedures.
3Measurement precision
If standard ECG data collection is used, then measurement precision is improved, but productivity worsens due to long recording requirements
Solution Approach 1:
The patent merges multiple signal sources (acoustic sensors, vibration sensors, and ECG electrodes) into a single wearable biosensor platform that simultaneously captures multiple cardiac parameters. This integration allows the system to extract hemodynamic information from combined signals, achieving accurate assessment in shorter time frames compared to sequential standard testing procedures.
Solution Approach 2:
The system uses brief snapshots of cardiac data (short recording periods) combined with advanced signal processing algorithms to extract comprehensive hemodynamic information. Rather than requiring long continuous recordings, the device captures partial data segments and uses computational methods to derive complete physiological parameters, significantly reducing measurement time.
4Duration of action of moving object
If a battery-powered wearable sensor is used, then duration of action is improved, but weight and device complexity increase
Solution Approach 1:
The wearable biosensor harvests energy from the body's natural movements and physiological signals to power its operations. The device uses piezoelectric or triboelectric materials that generate electrical energy from mechanical motion, eliminating the need for heavy batteries while enabling continuous operation during normal daily activities.
Solution Approach 2:
The patent replaces the electrochemical battery system with a mechanical energy harvesting mechanism that converts body motion into electrical energy. This substitution eliminates the weight and complexity of battery components while providing sustainable power for the sensor electronics during wear.
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
The system provides accurate, non-invasive, and portable cardiac pressure measurements, reducing hospitalization rates and improving heart failure management by enabling frequent monitoring of pulmonary artery pressures and cardiac time intervals, thus enhancing patient care and reducing healthcare costs.
Implementation Method 1
A wearable, non-invasive biosensor system using near-field communication (NFC) technology that captures electrocardiogram (ECG) signals and composite vibration data
Implementation Method 2
one or more accelerometers or other cardiac waveform sensors coupled to the skin of the patient
Data Source
AI summary
A health sensor system and method can include a wearable non-invasive biosensor for capturing cardiac waveform signals such as electrocardiogram (ECG) signals and composite vibration objects over one or more channels, one or more processors operatively coupled to the wearable non-invasive biosensor, and memory having computer instructions which causes the system to perform certain operations. In some embodiments, the operations can include powering the health sensor system in response to receiving a radio frequency signal using a near field communication protocol, monitoring pulmonary artery pressures based on cardiac time intervals during a period when the health sensor system is powered by the radio frequency signal, performing a heart and lung function assessment based on the monitoring of the pulmonary artery pressures, and presenting the heart and lung function assessment. In some embodiments, the biosensor can be a single NFC patch biosensor.