The Design and Evaluation of Personalised Ambient Mental Health Monitors

Blum, Jesse; Magill, Evan H.

doi:10.1109/ccnc.2010.5421748

Cited by 18 publications

(15 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors emphasized the importance of validating electro-convulsive therapy (ECT), which resulted with positive effects on patient's depressive state. In [5] and [4], authors stated that monitoring via a set of sensors may free bipolar disorder patients from various drawbacks. Furthermore, they investigate that the mood status related data could be reported via mobile phones as well as self-reporting in order to provide details about mental state of the patient and help set up therapeutic sessions between patients and caregivers.…”

Section: Related Work 31 Pervasive Technologies For Well-being and Mmentioning

confidence: 99%

Tell me your apps and I will tell you your mood

Alvarez-Lozano

Osmani

Mayora

et al. 2014

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

View full text Add to dashboard Cite

Bipolar Disorder is a disease that is manifested with cycling periods of polar episodes, namely mania and depression. Depressive episodes are manifested through disturbed mood, psychomotor retardation, behaviour change, decrease in energy levels and length of sleep. Manic episodes are manifested through elevated mood, psychomotor acceleration and increase in intensity of social interactions. In this paper we report results of a clinical trial with bipolar patients that amongst other aspects, investigated whether changes in general behaviour of patients due to onset of a bipolar episode, can be captured through the analysis of smartphone usage. We have analysed changes in smartphone usage, specifically app usage and how these changes correlate with the self-reported patient state. We also used psychiatric evaluation scores provided by the clinic to understand correlation of the patient smartphone behaviour before the psychiatric evaluation and after the psychiatric evaluation. The results show that patients have strong correlation of patterns of app usage with different aspects of their self-reported state including mood, sleep and irritability. While, on the other hand, the patients' application usage shows discernable changes in the period before and after psychiatric evaluation.

show abstract

Section: Related Work 31 Pervasive Technologies For Well-being and Mmentioning

confidence: 99%

Tell me your apps and I will tell you your mood

Alvarez-Lozano

Osmani

Mayora

et al. 2014

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

View full text Add to dashboard Cite

show abstract

“…PAM project has been developed to monitor the mental health condition of patients [14]. PAM framework is used to predict bipolar disorder in advance.…”

Section: Related Workmentioning

confidence: 99%

A novel three tier internet of things health monitoring system

Anand

Jerald

2019

IJEECS

View full text Add to dashboard Cite

<p>Internet of things is a technology where day to day devices, processing, and communication become smarter, intelligent and informative respectively. Health monitoring system is one the most important applications enabled by IOT. IOT health monitoring system comprises of sensors, network and a remote server (cloud). It provides multi-dimensional health monitoring and also suggests treatments. In this paper we have proposed a novel three tier health monitoring system , which stores and process the huge amount of sensor data outside the device using a technology called cloud computing. When the observed clinical sensor value exceeds the threshold clinical value, the system sends alert message to the doctor and caretakers. The history of data and observed data is stored in the cloud for a longer time and it can be viewed by logging into the website.</p>

show abstract

“…Blum et al [12], [19] stated that monitoring via a set of sensors may free bipolar disorder patients from various drawbacks. Furthermore, they investigate that the mood status related data could be reported via mobile phones as well as selfreporting in order to provide details about mental state of the patient and help set up therapeutic sessions between patients and caregivers.…”

Section: Mobile Computing In Medicinementioning

confidence: 99%

Monitoring activity of patients with bipolar disorder using smart phones

Osmani

Maxhuni

Grünerbl

et al. 2013

Proceedings of International Conference on Advances in Mobile Computing &Amp; Multimedia - MoMM '13

View full text Add to dashboard Cite

Mobile computing is changing the landscape of clinical monitoring and self-monitoring. One of the major impacts will be in healthcare, where increase in number of sensing modalities is providing more and more information on the state of overall wellbeing, behaviour and health. There are numerous applications of mobile computing that range from wellbeing applications, such as physical fitness, stress or burnout up to applications that target mental disorders including bipolar disorder. Use of information provided by mobile computing devices can track the state of the subjects and also allow for experience sampling in order to gather subjective information. This paper reports on the results obtained from a medical trial with monitoring of bipolar disorder patients and how the episodes of the diseases correlate to the analysis of the data sampled from mobile phone acting as a monitoring device.

show abstract

The Design and Evaluation of Personalised Ambient Mental Health Monitors

Cited by 18 publications

References 4 publications

Tell me your apps and I will tell you your mood

Tell me your apps and I will tell you your mood

A novel three tier internet of things health monitoring system

Monitoring activity of patients with bipolar disorder using smart phones

Contact Info

Product

Resources

About