ABSTRACT

The detection of major depressive disorder using devices which can be worn on one's body is a swiftly forthcoming method to identify and diagnose these disorders. Ubiquitous sensing technologies such as consumer-level fitness trackers and smartphones are the reason behind a growing appeal in leveraging these solutions for mental healthcare applications, allowing for the continuous monitoring of mental health conditions, and quick response mechanisms in situations of emergency. This chapter elaborates on an implemented method of monitoring patients for major depressive disorder, using a combination of data collected from a smart wearable device and user-answered questionnaire responses, in order to demonstrate that such a diagnosis can facilitate an objective identification of major depressive disorder in patients. Consequently, the aim of this chapter is to verify that such a solution can be implemented and theoretically feasible to use for diagnosing patients with major depressive disorder.