Multi-modal Body Sensor Patch for Continuous Health Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wearable medical devices for monitoring and recording physiological data, such as ECG information, have limitations including reliance on patient awareness for triggering recordings, limited data availability for physicians, and lack of comprehensive monitoring of multiple vital signs simultaneously.
Innovation Solution
A multi-modal body sensor monitoring and recording system that includes a wearable sensor patch and a digital framework for real-time analysis of various body vitals. This system uses a combination of ECG, acoustic, electrophysiological, and hemodynamic data to construct a virtual representation of an individual's body, enabling continuous health monitoring and selective recording of clinically significant events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If Holter monitor is used for continuous ECG recording, then monitoring duration is extended, but data transmission delay increases and diagnostic efficiency decreases
Solution Approach 1:
The system segments the continuous monitoring data into clinically significant events based on pre-programmed parameters. Only events meeting these criteria are transmitted to the central monitoring site, while routine data remains locally stored. This segmentation approach maintains extended monitoring capability while reducing transmission delays for critical diagnoses.
Solution Approach 2:
The system performs partial transmission of data by sending only the clinically significant portions of the continuous monitoring record. Rather than transmitting all data continuously, it selectively transmits events that meet predefined clinical criteria, thereby reducing overall transmission time while maintaining diagnostic completeness.
2Speed
If patient-triggered event recording is used, then data transmission speed improves, but reliability decreases due to patient awareness dependency
Solution Approach 1:
The system incorporates automated feedback mechanisms that continuously analyze physiological parameters against pre-programmed clinical criteria. When significant events are detected through this automated feedback loop, the system automatically initiates data transmission and alerting, eliminating dependency on patient awareness while maintaining rapid response times.
Solution Approach 2:
The monitoring system performs self-service by automatically detecting clinically significant events through embedded algorithms and autonomously triggering data transmission and alerting sequences. This self-service capability removes the need for patient initiation while ensuring reliable detection of critical events.
3Device complexity
If single-parameter monitoring is used, then device complexity is reduced, but measurement precision decreases for comprehensive diagnosis
Solution Approach 1:
The system merges multiple physiological parameter monitoring capabilities into a single integrated platform. By combining ECG, acoustic, electrophysiological, and hemodynamic sensors with unified event detection algorithms, the system achieves comprehensive diagnostic precision without proportionally increasing device complexity.
Solution Approach 2:
The monitoring system is designed with universal multi-functionality, capable of detecting and analyzing multiple types of physiological events across different parameter domains. A single device performs diverse monitoring functions including arrhythmia detection, acoustic anomaly recognition, and hemodynamic event identification, thereby maintaining diagnostic accuracy while controlling complexity through standardized processing architecture.
Data Source
AI summary
In one aspect, a multi modal body sensor monitoring and recording system includes a personal status monitor (PSM) that communicates user bio-sensor data to an SCP. The PSM includes a controller comprising a sensing face, an intermediary circuit, and a mounting face. The controller provides a sensor array of specified biosensors. The controller is mountable with an ECG patch. The PSM includes an ECG patch coupled with the controller. The controller is removably mounted via comprising a sensor patch comprising a flat piece of material with an array of sensors arranged on a sensing face of the sensor patch of the sensor patch that is designed with a receptacle to which the controller device is connected into the ECG patch. The ECG patch obtains an ECG data of the user that is passed to the controller. The controller electronically communicates the ECG data and the specified biosensor data to the PHI server. The PHI server queries one or more health provider records systems to obtain a set of electronic health records, of the user. The PHI server electronically communicates the set of electronic health records to a system control program (SCP) server. The SCP server uses the biosensor data collected by the PSM, along with the PHI from electronic health records, to construct a virtual model of an individual's quantifiable biological markers in real time.