This paper reviews what we know about prediction in relation to mood disorders from the perspective of clinical, biological, and physiological markers. It then also presents how information and communication technologies have developed in the field of mood disorders, from the first steps, for example, the transition from paper and pencil to more sophisticated methods, to the development of ecological momentary assessment methods and, more recently, wearable systems. These recent developments have paved the way for the use of integrative approaches capable of assessing multiple variables. The PSYCHE project stands for Personalised monitoring SYstems for Care in mental HEalth
This study applies statistical models to mood in patients with bipolar disorder. Three analyses of ...
This study discusses a personalized wearable monitoring system, which provides information and commu...
Unlike most other health conditions, the treatment of mental illness relies on subjective measuremen...
This paper reviews what we know about prediction in relation to mood disorders from the perspective ...
One of the areas of great demand for the need of continuous monitoring, patient participation and me...
In this chapter, we describe how it is possible to exploit physiological sensors and related signal ...
Background: Bipolar disorders are characterized by a series of both depressive and manic or hypomani...
Abstract This narrative review describes recent developments in the use of technology ...
The literature on smartphone-based monitoring in psychiatry is expanding. Data collection by utilizi...
Emotions are species-typical patterns and can be a window to describe the human mind in action. Unde...
In recent years there has been an increasing focus on monitoring health and wellbeing with the inten...
Mental disorders can have a significant, negative impact on sufferers’ lives, as well as on their fr...
In this thesis, the potential of electronic diaries to improve personalized mental health care is ex...
Mental disorders can have a significant, negative impact on sufferers’ lives, as well as on their fr...
Mental disorders can have a significant, negative impact on sufferers' lives, as well as on their fr...
This study applies statistical models to mood in patients with bipolar disorder. Three analyses of ...
This study discusses a personalized wearable monitoring system, which provides information and commu...
Unlike most other health conditions, the treatment of mental illness relies on subjective measuremen...
This paper reviews what we know about prediction in relation to mood disorders from the perspective ...
One of the areas of great demand for the need of continuous monitoring, patient participation and me...
In this chapter, we describe how it is possible to exploit physiological sensors and related signal ...
Background: Bipolar disorders are characterized by a series of both depressive and manic or hypomani...
Abstract This narrative review describes recent developments in the use of technology ...
The literature on smartphone-based monitoring in psychiatry is expanding. Data collection by utilizi...
Emotions are species-typical patterns and can be a window to describe the human mind in action. Unde...
In recent years there has been an increasing focus on monitoring health and wellbeing with the inten...
Mental disorders can have a significant, negative impact on sufferers’ lives, as well as on their fr...
In this thesis, the potential of electronic diaries to improve personalized mental health care is ex...
Mental disorders can have a significant, negative impact on sufferers’ lives, as well as on their fr...
Mental disorders can have a significant, negative impact on sufferers' lives, as well as on their fr...
This study applies statistical models to mood in patients with bipolar disorder. Three analyses of ...
This study discusses a personalized wearable monitoring system, which provides information and commu...
Unlike most other health conditions, the treatment of mental illness relies on subjective measuremen...