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Bipolar disorder (BD) is a serious psychiatric condition that affects a large number of people. Many people with BD self-monitor their condition in order to try and keep the disturbances from affective episodes to a minimum. The Personalized Ambient Monitoring (PAM) project has developed a system that performs behavioral monitoring in an unobtrusive manner and can detect changes in a person's behavior...
The daily life of epilepsy patients is constrained by the possibility of occurrence of seizures. Until now, seizures cannot be predicted with sufficient sensitivity and specificity. Most of the seizure prediction studies have been focused on a small number of patients, and frequently assuming unrealistic hypothesis. This paper adopts the view that for an appropriate development of reliable predictors...
A gaming platform has been used to implement a Home Automated Telemanagement (HAT) system for chronic disease management in the patient's home. The system questions patients with congestive heart failure (CHF) to monitor symptoms, weight changes, and quality of life while educating the patient on their disease. The system is designed to run on the Nintendo Wii videogame console using an active internet...
The problem of identifying in advance the most effective treatment agent for various psychiatric conditions remains an elusive goal. To address this challenge, we propose a machine learning (ML) methodology to predict the response to a selective serotonin reuptake inhibitor (SSRI) medication in subjects suffering from major depressive disorder (MDD), using pre-treatment electroencephalograph (EEG)...
Artificial pacemakers are one of the most widely-used implantable devices today, with millions implanted worldwide. The main purpose of an artificial pacemaker is to treat bradycardia, or slow heart beats, by pacing the atrium and ventricles at a faster rate. While the basic functionality of the device is fairly simple, there are many documented cases of death and injury due to device malfunctions...
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