EDA is a valuable physiological marker for stress because it directly reflects activation of the autonomic nervous system's "fight or flight" response. When the body experiences stress, sweat glands are stimulated, increasing skin conductance. Elevated EDA levels have been linked to heightened emotional arousal, cognitive overload, and anxiety, making it an effective tool for assessing acute stress responses and emotional states. In the context of neurological health, prolonged elevated EDA can signal chronic stress, which is associated with impaired memory, reduced neuroplasticity, and increased risk of mood disorders and cognitive decline. EDA provides real-time feedback on stress levels, enabling early interventions to mitigate its impact on brain health.
EDA is measured using electrodes placed on the skin, typically on the fingers, palms, or soles, where sweat glands are most concentrated. Devices pass a small, imperceptible electrical current through the skin and measure changes in conductance caused by sweat. Wearable technologies, such as smartwatches and fitness trackers, now incorporate EDA sensors for convenient, continuous monitoring in everyday settings. For more precise measurements, clinical-grade devices are used in controlled environments, such as during stress-inducing tasks or experiments. Data collected includes baseline levels, peaks, and recovery time, offering insights into the body’s stress response and autonomic regulation.
This systematic review explores how smart gadgets and wearable technologies assist in diagnosing and managing stress, wellness, and anxiety. It examines the integration of heart rate variability (HRV), electrodermal activity (EDA), and other physiological sensors in smartwatches, bands, and mobile applications. Findings indicate that HRV, when combined with EEG, provides superior diagnostic accuracy. EDA is also highly precise, whereas mean heart rate alone is less reliable. The study acknowledges limitations in sensor accuracy and the potential for misinterpretation. Future research should improve signal processing and personalization for real-time interventions.
To enhance brain health, consider using wearables that monitor heart rate variability (HRV) and electrodermal activity (EDA) for stress awareness. However, self-monitoring should be complemented with structured interventions like guided breathing or mindfulness apps. Since sensor accuracy varies, rely on trends rather than isolated readings. Future advancements may improve wearables' predictive power, but for now, use them as one component of a broader mental wellness strategy.