- A research study has suggested that mood changes can be detected by your laptop
- This would allow the prediction of mood data, helping you to counter it with advice
- It could be huge to help manage symptoms of mental health problems
We have seen that the best intelligent watches can follow everything on your physical health, from sleep apnea detection to forecasting your best moments in marathon, but the next border could predict your mental health.
The research published in the journal Nature last year takes advantage of the power of a smartwatch and the data it collects to map manic and depressive episodes in patients with mood disorders, based on data standby. Because stress and mood can have an effect on circadian rhythms, the study has hypothesized that it is possible to predict the “mood episodes” to come.
“Disturbances in sleep and activity models have been observed in people diagnosed with mood disorders, including major depressive disorder (CT) and bipolar disorder (BD)”, explains the introduction of the study.
“To better understand these mood -related models, sensors in smartphones and portable devices, such as accelerometers, global positioning system sensors (GPS) and light sensors, have been used to collect data not Invasively and passively in real individuals of individual life environments. “
“This approach allows an objective long -term evaluation of the physiological and behavioral status of a patient, providing a precious complement to conventional psychiatric assessments which are based on the subjective recall of patients by clinical scale or interviews.”
Huge impact on mental well-being
According to the study, it could make a huge difference for anyone suffering from a mental health problem, and not just a depressive disorder or a bipolar disorder.
By following this data and by mapping it over an extended period, smartwatches could provide adaptation strategies to a whole series of people with mental health problems, permanent diagnoses such as bipolar disorder, temporary episodes such as the Seasonal emotional disorder (TAD).
The signs of identification which can contribute to a higher risk of depression, such as subsequent bedtime and varied day structures, could help users develop adaptation mechanisms to manage or minimize their symptoms.
