Behaviour Analytics for People with Mental Illnesses
Publication Date: 2014-Mar-03
The IP.com Prior Art Database
There is a range of mental illnesses (schizophrenia, bi-polar disorder, depression) which can result in a person trying to do harm to themselves. Often, when such tendencies are noticed by a relative or a doctor - the person suffering from the disorder can be sectioned by a court. Whilst being cared for in a secure unit the person is constantly monitored and proper medication is being administered to them to ensure their well-being and safety. When they are brought back into a state when the medical personnel deems that they are no longer in danger of hurting themselves - the person is discharged. However, often the state of the discharged might start to deteriorate without medical supervision. This device allows to monitor a patient in a non-intrusive way while they are in a secure unit, gather data on their normal behaviour and formulate a baseline behaviour consisting of behavioural patterns that should be considered as normal for this person. Then, after the patient is discharged the non-intrusive monitoring continues in their house or apartment. The current behaviour is constantly compared to the baseline. The monitoring algorithms look for specific manifestations of illnesses that are characteristic to the person being monitored. Adjustments are being made to the baseline to account for the former patient being home, rather than in a hospital. When the monitor senses a dangerous change in the person's behaviour - an emergency notification is sent to the designated person and/or the patient's treating doctor.