Wearable ECG Monitor for Ischemic Pre-Conditioning Alerts
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Solution Overview
Problem
There is a need for a wearable device that can continuously monitor cardiovascular health parameters during exercise, such as ST-segment deviation, and provide real-time alerts to users when these parameters exceed predefined thresholds, while also being capable of computing metrics locally and transmitting data to a smartphone or gateway device for remote analysis.
Innovation Solution
A wearable device with electrodes for measuring ECG signals, accelerometers, and a processor that computes cardiac health metrics, provides tactile and visual feedback, and communicates via Bluetooth or WiFi to guide users through ischemic preconditioning protocols, alerting them through vibration, LEDs, or audio when their ST-depression values are outside a defined range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wearable device continuously monitors cardiovascular parameters during exercise, then health monitoring capability is improved, but device complexity and power consumption increase
Solution Approach 1:
The system divides functionality between the wearable device (ECG sensing, basic processing) and external devices (smartphone analysis, cloud storage). The wearable device focuses on acquiring ECG signals and basic real-time processing, while complex analysis and data storage are performed externally, reducing the complexity burden on the wearable device itself.
Solution Approach 2:
The system pre-defines threshold values for cardiovascular parameters (such as ST-segment deviation limits) and alert conditions before exercise sessions. This allows the device to perform simple real-time comparisons against predetermined criteria rather than performing complex real-time analysis, reducing computational complexity during exercise.
2Object-affected harmful factors
If a wearable device provides real-time alerts during exercise, then user safety is improved, but device complexity increases
Solution Approach 1:
The system implements real-time feedback through vibration motors and visual indicators (LEDs) that provide immediate alerts when cardiovascular parameters exceed safe thresholds. This feedback mechanism enhances user safety by enabling timely intervention while keeping the device logic relatively simple - primarily comparing sensor readings against predefined thresholds and triggering appropriate alerts.
3Measurement precision
If health data is transmitted to smartphone for remote analysis, then medical analysis capability is improved, but data transmission requirements and system complexity increase
Solution Approach 1:
The smartphone or cloud server acts as an intermediary that receives raw or pre-processed ECG data from the wearable device and performs comprehensive medical analysis. This separation allows the wearable device to focus on accurate data acquisition while the intermediary handles complex analysis, achieving high measurement precision without overburdening the wearable device itself.
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 monitoring and real-time feedback during exercise, helping users maintain optimal cardiovascular health by alerting them to abnormal cardiac activity and allowing for remote data analysis by health professionals.
Implementation Method 1
an electronic circuitry to measure electric potentials for one or more channels
Implementation Method 2
one or more accelerometers
Data Source
AI summary
The various embodiments of the present invention provide a system and method for a fully mobile, non-invasive, continuous system for monitoring the cardiovascular and musculoskeletal health of an individual during exercise, and for administering a protocol for ischemic pre-conditioning. The system includes a wearable devices affixed on the user with a chest strap, coupled with an application running on a computing device (smartphone/smartwatch), which performs various computations on the wearable device, and allows the user to get real time alerts during exercise, by way of vibrations or audio messages or notifications on the gateway device, to guide them through a protocol for ischemic pre-conditioning.