Revolutionizing Patient Care through EEG Wearable Technology.pptx

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1. Revolutionizing Patient Care through EEG Wearable Technology " Enhancing Patient Care through Brainwave Monitoring "

2. Objective Develop an advanced nurse call system that integrates EEG wearable devices to monitor brain activity, providing real-time alerts for emergencies and predicting potential future diseases using past brain activity and medical history. Motivation Enhance patient care by utilizing EEG data to detect immediate medical emergencies (e.g., seizures) and analyze historical data to predict future neurological conditions, enabling proactive healthcare interventions. Outcome A system that not only improves response times and personalizes care through cognitive and emotional insights but also predicts future health risks, helping healthcare providers to implement preventive measures based on patient history.

3. Introduction Why Enhanced Patient Monitoring is Important Traditional nurse call systems rely on physical buttons or verbal requests, which are not suitable for immobile or non-verbal patients. There's a need for continuous , automatic systems to improve response time in emergencies . The EEG- based system offers real -time brain activity monitoring and can send alerts automatically .

4. EEG (Electroencephalogram): Definition: EEG is a non-invasive method used to record electrical activity in the brain. It captures brain wave patterns generated by neurons through electrodes placed on the scalp. How it Works: The electrodes detect electrical impulses in the brain, which are then amplified and recorded as waveforms. These waveforms represent different brain states (e.g., sleep, focus, relaxation). Key Brain Waves Monitored: Delta Waves: Deep sleep Theta Waves: Light sleep, relaxation Alpha Waves: Calm, wakeful rest Beta Waves: Active thinking, focus Gamma Waves: High-level cognitive functions Uses: EEG is widely used in diagnosing neurological conditions (e.g., epilepsy, sleep disorders) and in research on brain activity related to emotions, cognition, and behavior. Polydimethylsiloxane

5. How the EEG- Based System Works System Overview EEG Device: Monitors brainwave patterns such as anxiety , seizures , or fatigue . Automatic Alerts: When abnormal brain activity is detected , the system sends alerts to nursing staff . EMR Integration: Data is integrated into the hospital's Electronic Medical Records (EMR) system for real -time updates .

6. Use Case Example A post-surgery patient is wearing an EEG headset. The system detects increased beta and gamma waves, signaling distress. A nurse receives an automatic alert without any manual input from the patient. Real-time brainwave data is shared with the EMR for ongoing monitoring. Example

7. Benefits and Future Prospects Benefits Improved Patient Safety: Detects emergencies without patient input. Faster Response: Automatic alerts speed up nurse response time. Telehealth Integration: Enables remote patient monitoring. Future Prospects Broader use of EEG for remote monitoring and integration with AI for predictive care .

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