Non-Contact Biomotion Sensing for Home Deterioration Detection
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Solution Overview
Problem
Current systems for monitoring chronic diseases like heart failure, COPD, and asthma lack sensitivity and convenience in detecting clinical deterioration, particularly through weight gain, BNP monitoring, respiratory patterns, and respiratory rate, which are not effectively deployed in the patient's home environment.
Innovation Solution
A system using a non-contact biomotion sensor to measure respiratory patterns and heart rate, combined with symptom data, for continuous monitoring and analysis, including rule-based and statistically based classifiers to predict clinical deterioration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weight gain monitoring is used to detect heart failure deterioration, then specificity is improved (97%), but sensitivity deteriorates (only 9-17%)
Solution Approach 1:
The patent combines multiple monitoring parameters (weight gain, respiratory patterns, heart rate, BNP levels) into an integrated monitoring system. By merging these different physiological indicators, the system achieves both high specificity and high sensitivity in detecting clinical deterioration, overcoming the limitation of using weight monitoring alone.
Solution Approach 2:
The monitoring system is designed to perform multiple functions: tracking weight changes, analyzing respiratory patterns, measuring heart rate, and assessing BNP levels. This multi-functional approach allows the system to detect various aspects of disease progression simultaneously, improving overall detection reliability while maintaining specificity.
2Measurement precision
If conventional monitoring systems are deployed, then measurement capability is provided, but convenience and accuracy in home environment deteriorate
Solution Approach 1:
The system employs automated monitoring with sensors that continuously track physiological parameters without requiring active patient participation. The non-contact biomotion sensor automatically detects respiratory patterns and heart rate, while weight is monitored passively, reducing the burden on patients and improving ease of use in home settings.
Solution Approach 2:
The patent replaces traditional mechanical monitoring methods with non-contact biomotion sensing technology. This substitution eliminates the need for physical contact or manual operation, allowing accurate measurement of respiratory patterns and heart rate from a distance, thereby improving both measurement capability and convenience.
3Reliability
If BNP monitoring is implemented, then sensitivity improves (92%), but specificity deteriorates (only 38%)
Solution Approach 1:
The system integrates BNP monitoring with other physiological parameters (respiratory patterns, heart rate, weight) to create a composite assessment. By combining these indicators, the system compensates for BNP's low specificity while maintaining its high sensitivity, achieving balanced diagnostic accuracy.
Solution Approach 2:
The monitoring system continuously tracks multiple parameters and uses feedback algorithms to interpret BNP levels in context with other physiological data. This feedback mechanism helps distinguish true positive indicators from false positives, improving specificity while preserving the high sensitivity of BNP monitoring.
4Measurement precision
If non-contact biomotion sensor is used, then convenience and accuracy are improved, but device complexity increases
Solution Approach 1:
The non-contact biomotion sensor is designed to perform multiple measurement functions (respiratory pattern detection, heart rate monitoring, movement tracking) through a single device. This multi-functionality reduces the need for multiple separate sensors, thereby managing complexity while maintaining convenience and accuracy.
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
Enhances the detection of clinical deterioration by providing accurate, cost-effective, and convenient monitoring of respiratory patterns and heart rate, allowing for earlier clinical intervention.
Implementation Method 1
a non-contact biomotion sensor to measure respiratory patterns and heart rate
Data Source
AI summary
An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.