Wearable Biosensor System for Continuous Emotional State Monitoring
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Solution Overview
Problem
Current mental health monitoring and intervention methods are inadequate for continuous, non-disruptive assessment and management of emotional states, particularly in outpatient settings, leading to potential adverse events such as self-harm and substance abuse relapse, due to limitations in resource availability and patient reluctance to share emotional insights.
Innovation Solution
A wearable device equipped with EEG, EMG, sound sensors, accelerometers, and gyroscopes that collect and analyze biosignals to predict emotional shifts, enabling timely medical interventions through a connected system that can deliver alerts or treatments, such as medications, to prevent adverse events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inpatient care is provided to monitor and treat emotional states, then patient safety and medical intervention capability are improved, but patient stress and emotional burden increase due to removal from usual environment
Solution Approach 1:
The system enables patients to continuously self-monitor their emotional states through wearable biosensors that automatically collect physiological data (heart rate, temperature, activity levels) without requiring clinical intervention or disruption to their daily lives
Solution Approach 2:
The system provides real-time feedback to both patients and healthcare providers through mobile applications and cloud-based platforms, enabling continuous monitoring and timely intervention without requiring inpatient admission
2Productivity
If multiple patients are monitored simultaneously in an inpatient setting, then healthcare resource efficiency is improved, but individual patient monitoring capability deteriorates
Solution Approach 1:
Each patient's wearable device independently and continuously collects their own physiological data, eliminating the need for healthcare providers to manually monitor each patient while ensuring individualized attention through automated data collection
Solution Approach 2:
The system provides individualized real-time feedback to each patient through their personal mobile device, enabling precise monitoring of each patient's emotional state while allowing healthcare providers to efficiently oversee multiple patients through a centralized platform
3Measurement precision
If clinical evaluations are conducted in a medical setting, then diagnostic accuracy is improved, but patient comfort and natural emotional expression deteriorate
Solution Approach 1:
Patients continuously self-monitor their emotional states in their natural environments through wearable devices, capturing authentic emotional responses without the artificial constraints of clinical settings
Solution Approach 2:
The system collects baseline physiological data and establishes individualized emotional state profiles before adverse events occur, enabling accurate diagnosis through patterns detected in natural settings rather than reactive clinical assessments
4Reliability
If continuous monitoring is implemented to detect emotional shifts, then early intervention capability is improved, but device complexity and patient burden increase
Solution Approach 1:
The wearable system automatically and continuously collects physiological data without requiring patient activation or complex user interaction, reducing the burden on patients while maintaining continuous monitoring capability
Solution Approach 2:
The system replaces complex manual assessment procedures with automated biosensor-based physiological measurement, simplifying the monitoring process while improving detection accuracy through objective biological markers
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
The system provides continuous, non-intrusive monitoring and intervention, reducing the risk of adverse events by allowing for early detection and management of emotional states, improving patient safety and quality of life, especially for suicidal and substance-abusing patients, and those with mental deterioration like Alzheimer's.
Implementation Method 1
an electroencephalogram (EEG) configured to measure electrical activity in a brain of a patient
Implementation Method 2
an electromyogram (EMG) configured to measure electrical activity in a muscle and nerve of a patient
Data Source
AI summary
The present disclosure is generally directed to a system and method for monitoring and treating an emotional state. The system includes a device including an electroencephalogram, an electromyography, a sound sensor, an accelerometer, and a gyroscope. The device is communicably coupled to a converter configured to convert the data and send the data to an external device. The external device is configured to store and analyze the data. The external device in configured to send a signal to perform a medical intervention.