Cardiovascular State Monitoring via Frequency Domain Pulse Wave Analysis
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Solution Overview
Problem
Current non-acute care settings lack the technology and expertise to accurately detect pre-symptomatic or early symptomatic hemodynamic dysfunction, leading to potential acute events and adverse patient outcomes due to inadequate cardiovascular monitoring capabilities.
Innovation Solution
A non-invasive physiological monitoring system that uses sensors to collect time domain signals, transforms them into frequency domain metrics, and compares these metrics with a database to determine cardiovascular states, providing expert-like diagnostic information and therapeutic recommendations to healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive sensors are used for cardiovascular monitoring in non-acute care settings, then patient comfort and ease of use are improved, but measurement precision and detection accuracy of hemodynamic dysfunction deteriorate
Solution Approach 1:
The patent uses pulse wave signals as an intermediary medium that can be obtained non-invasively through simple sensors. These pulse waves serve as a mediator that carries hemodynamic information without requiring direct invasive measurement, thus maintaining ease of use while enabling accurate detection of cardiovascular states through sophisticated signal analysis
Solution Approach 2:
The system transforms the pulse wave signal from time domain to frequency domain to extract additional hemodynamic parameters. By changing the analysis domain and extracting multiple parameters (including those in the frequency domain), the system achieves accurate hemodynamic assessment using non-invasive measurements
2Device complexity
If simple non-invasive sensors are used, then device complexity is reduced, but the ability to detect pre-symptomatic hemodynamic dysfunction deteriorates
Solution Approach 1:
The pulse wave serves as an intermediary that carries rich hemodynamic information. By analyzing this intermediary signal in both time and frequency domains, the system achieves reliable detection of hemodynamic dysfunction without requiring complex invasive monitoring equipment
Solution Approach 2:
The patent transitions from analyzing pulse waves only in the time domain to analyzing them in both time and frequency domains. This dimensional expansion allows extraction of additional hemodynamic parameters that improve detection reliability while keeping the sensor system simple
3Ease of operation
If traditional monitoring methods are used in non-acute settings, then ease of operation is maintained, but loss of information about early hemodynamic dysfunction increases
Solution Approach 1:
The system adds frequency domain analysis as another dimension to the traditional time domain pulse wave analysis. This enables extraction of additional hemodynamic information that is not apparent in the time domain, reducing information loss while maintaining ease of operation
Solution Approach 2:
The system provides feedback by comparing measured hemodynamic parameters against reference ranges and alerting caregivers to abnormal findings. This feedback mechanism ensures that the extracted information is effectively utilized for patient monitoring and early intervention
Data Source
AI summary
A system and method for hemodynamic dysfunction detection may include at least one sensor configured to received one or more signals from a patient, a computing device in data communication with the at least one sensor, a computer-readable storage medium in communication with the computing device, an input device, and an output device. The system may include computer readable instructions to cause the system to receive at least one signal in the time domain from the sensor, determine at least one metric in the frequency domain from the at least one signal in the time domain, and determine the cardiovascular state of the patient from a combination of the at least one metric in the frequency domain and information contained in at least one database of cardiovascular states. The system may also notify a user of a immanent patient cardiovascular event and recommend one or more interventions to mitigate it.