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Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
On the Feasibility of Using Activity On the Feasibility of Using Activity Recognition and Context AwareRecognition and Context Aware
Interaction to Support Early Diagnosis Interaction to Support Early Diagnosis of Bipolar Disorderof Bipolar Disorder
UbiWell WorkshopUbiWell Workshop
Innsbruck, 16Innsbruck, 16thth September 2007 September 2007
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
David Tacconi, Oscar Mayora, CREATE-NET
Paul Lukowicz, University of Passau
Bert Arnrich, Gerhard Tröster, ETH Zurich
Christian Haring, PSYCHIATRIC STATE HOSPITAL TIROL (PSHT)
Paper ContributorsPaper Contributors
PSHTPSYCHIATRIC STATE HOSPITAL TIROL
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
OutlineOutline
MotivationBipolar disorder and System RequirementsPervasive computing to support Bipolar
Disorder diagnosisA proposed System ArchitectureConclusion
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
MotivationMotivation Global Burden of Disease
Mental illness accounts for over 15% of the burden of diseases in established market economies (source World Health Organization, World Bank, Harvard University)
Disability Adjusted Life Years (DALYs): Measure the lost years of healthy life (premature death or
disability) Depression:
is the most common psychiatric disorder, accounting for 50.8 million DALYs or 10.7% of the global burden of disease
It is ranked fourth among all causes of DALYs and is the leading nonfatal condition globally
Bipolar disorder: account for another 14,1 million (3.0%) DALYs
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
MotivationMotivation Few technological solutions exist to aid people
affected by mental illness. Obvious reasons are:
people affected by mental illness are more likely to have problems dealing with complex technology
providing behavioral assistance is much more difficult than providing physical assistance
solutions require considerable amount of domain specific knowledge and can only be developed in close cooperation with psychiatrists
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
MotivationMotivation In this work:
we identify Bipolar Disorder as a condition that can realistically benefit from behavioral monitoring,
we identify support in early detection of imminent transitions between normal, manic and depressed states as the specific contribution to therapy,
we identify specific behaviors that need to be detected by the proposed system, using the so called Hamilton Depression Scale (HAMD) and Bech-Rafaelsen Mania scale (BRMS), which are generally accepted tools in the diagnosis of depression and mania,
based on literature study and previous work by the authors, we argue that detecting these specific behaviors is feasible,
we propose an appropriate system architecture based on existing devices and previous systems implemented by the authors groups
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Bipolar DisorderBipolar Disorder Bipolar disorder
repeated relapses of mania and depression Recurrence rates are high at around 50% at one year and 70% at
four years Treatments for Bipolar disorder:
Pharmacotherapy is the main treatment nowadays Alternative: teach the patients to recognize and manage Early
Warning Signs (EWS) Diagnosing through patient questionnaires:
for depression the Hamilton Depression Scale (HAMD) for mania the Bech-Rafaelsen Mania Scale (BRMS). Both contain a series of questions related to patients’ activities and
feelings
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Bipolar Disorder: Mania SymtomsBipolar Disorder: Mania Symtoms Manic Episode
Increased energy, activity, and restlessness Excessively "high," overly good, euphoric mood Extreme irritability Racing thoughts and talking very fast, jumping from one idea to another Distractibility, can't concentrate well Little sleep needed Unrealistic beliefs in one's abilities and powers Poor judgment Spending sprees A lasting period of behavior that is different from usual Increased sexual drive Abuse of drugs, particularly cocaine, alcohol, and sleeping medications Provocative, intrusive, or aggressive behavior Denial that anything is wrong
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Bipolar Disorder: Depression SymptomsBipolar Disorder: Depression Symptoms Lasting sad, anxious, or empty mood Feelings of hopelessness or pessimism Feelings of guilt, worthlessness, or helplessness Loss of interest or pleasure in activities once enjoyed, including
sex Decreased energy, a feeling of fatigue or of being "slowed down" Difficulty concentrating, remembering, making decisions Restlessness or irritability Sleeping too much, or can't sleep Change in appetite and/or unintended weight loss or gain Chronic pain or other persistent bodily symptoms that are not
caused by physical illness or injury Thoughts of death or suicide, or suicide attempts
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Bipolar Disorder: the HAMDBipolar Disorder: the HAMD1. Depressed Mood2. Feelings of Guilty3. Suicide4. Insomnia (early)5. Insomnia (middle)6. Insomnia (late)7. Work and Activities8. Retardation:
Psychomotor9. Agitation10. Anxiety (Psychological)
11. Anxiety Somatic12. Somatic Symptoms
(Gastrointestinal)13. Somatic Symptoms
General14. General Symptoms15. Hypocondriasis16. Loss of Weight17. Insight18. Diurnal Variation19. Depersonalization and
Derealization20. Paranoid Symptoms
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Pervasive Computing for diagnosis of BDPervasive Computing for diagnosis of BD From our experience and a literature study, we propose to
look at the following parameters: HAMD:
items 4,5,6 (insomnia) 7 (work and activities) 8 (psychomotoric retardation) 9 (agitation) 10, 11(anxiety)
BRMS: items 1 (motoric activities) 2 (verbal activities) 4 (voice-noise level) 8 (contacts) 9 (sleep)
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Diagnosis 1/3Diagnosis 1/3
Insomnia and Sleep disorders (HAMD 4-6, BRMS 9):
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Diagnosis 2/3Diagnosis 2/3
Verbal activities (BRMS 2, 4) and Contacts/Conversation (BRMS 8)
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
Diagnosis 3/3Diagnosis 3/3
Activity Recognition (HAMD 7,8,9,10,11, BRMS 1)
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
System ArchitectureSystem Architecture
Innsbruck, September 16th D. Tacconi, B. Arnrich
On the Feasibility of Using Activity Recognition and CAOn the Feasibility of Using Activity Recognition and CA Interaction to Support Early Diagnosis of Bipolar Disorder Interaction to Support Early Diagnosis of Bipolar Disorder
ConclusionConclusion