2.5. Personalized Health Monitoring and Adaptation

By integrating EEG and ECG data, researchers are creating the way for systems that support chronic health monitoring and give early warnings for potential health events, which can significantly improve patient autonomy and safety. Zambrana Vinaroz et al., for example, developed advanced wearable devices that leverage EEG, ECG and photoplethysmogram (PPG) data to monitor epilepsy. These systems offer patients early warnings of potential seizures, greatly enhancing quality of life by enabling preemptive action , . Similarly, Malarvili and Mesbah's framework for newborn seizure detection combines EEG and heart rate variability (HRV) data, demonstrating that this multi-signal approach enhances detection accuracy compared to using EEG or HRV alone . In another study, Alhejaili and Alomainy explored wearable technologies for mental wellness, demonstrating that biofeedback using EEG and ECG could help reduce anxiety and cognitive load, increasing self-regulation in daily activities . These studies emphasize the potential of EEG and ECG integration to create more adaptive, personalized monitoring systems that fit better to each patient’s unique health needs and conditions.