Wearable Patch Multimodal Sensor Subcutaneous Monitoring
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Solution Overview
Problem
Existing stethoscopes are limited in their ability to non-invasively monitor subcutaneous processes outside of a clinical setting and are not suitable for long-term, low-profile wearable devices for remote patient monitoring.
Innovation Solution
A wearable patch system that includes a patch substrate with a sensor assembly capable of detecting multiple sensory modalities, converting these signals into sensor data signals, and transmitting them to a sensor data processing system for analysis and alerting clinicians of potential health issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a stethoscope is used for monitoring, then physiological sounds can be detected, but the device cannot be worn continuously and requires clinician presence
Solution Approach 1:
The stethoscope is divided into multiple independent sensor modules (acoustic sensor, accelerometer, temperature sensor, etc.) that can be distributed across a wearable patch, allowing continuous monitoring without requiring a single bulky device to be constantly worn by a clinician
Solution Approach 2:
The mechanical stethoscope is replaced with electronic sensors and wireless communication systems that can be integrated into wearable clothing or patches, enabling automated data collection and transmission without continuous human presence
2Measurement precision
If a stethoscope is used for thrombosis detection, then early detection is possible, but the device is not suitable for long-term wearable monitoring
Solution Approach 1:
The wearable patch continuously monitors physiological parameters including acoustic signals, acceleration, and temperature to detect thrombosis at any time, eliminating the interruptions caused by periodic clinician visits and ensuring uninterrupted detection capability
Solution Approach 2:
The system automatically collects, stores, and transmits monitoring data without requiring active participation from the patient or clinician, enabling autonomous long-term monitoring that persists throughout the wear period
3Extent of automation
If a wearable patch with multiple sensors is implemented, then continuous monitoring is enabled, but device complexity increases
Solution Approach 1:
The wearable patch integrates multiple sensor types (acoustic, accelerometer, temperature, etc.) into a single multi-functional device that can detect various physiological parameters simultaneously, reducing the need for multiple separate devices and simplifying the overall monitoring workflow
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 continuous, automatic monitoring of subcutaneous processes without patient intervention, allowing for early detection of physiological issues such as thrombosis or stenosis, and facilitating timely clinical interventions.
Implementation Method 1
a sensor assembly comprising a plurality of sensors configured to detect a corresponding plurality of sensory modalities and to receive the sensory modalities as electrical signals
Implementation Method 2
The sensor assembly includes an accelerometer, a microphone, a piezoelectric sensor, and two thermometers
Implementation Method 3
The sensor assembly includes an accelerometer, a microphone, a piezoelectric sensor, and two thermometers
Data Source
AI summary
A system, device and method for automatically and remotely acquiring sensor data from a wearable patch mounted on a patient. An example device implemented as a wearable patch includes a sensor assembly comprising a plurality of sensors configured to detect a corresponding plurality of sensory modalities and generate electrical signals representing the sensory modalities. A signal converter receives the electrical signals from the plurality of sensors and converts the signals to sensor data signals comprising a data representation of at least one of the electrical signals. A communications interface communicates the sensor data signals to a sensor data processing system.


