05 Backgrounds & Aims E-MENTAL HEALTH 08 Provide the specialist sensory information for evaluating the patient Personalize the treatment for each patient. “Centered on humans” Different kinds of information during real situations with real problems Ambient Intelligence has been considered for Europe Comission as the main scenario of the future for 21th Century.
Presentación LabHuman 07 Objectives Design an intelligent sensory platform (TIS) to provide physiological and context information of patients undergoing clinical therapies. Develop new processing techniques for interpreting the data (Neural Networks, HMM models, Genetics Algorithms) Apply these new techniques in Context-aware tools for the therapist Our group intends to develop the knowledge and technology to get new Ambient Intelligence Scenarios for the next decade: E-Therapy concept
09 Methods: Multipurpose design E-MENTAL HEALTH 08 First element of TIN (Therapy Intelligent Network), an open sensor platform for developing intelligent human-centered environments. TIPS connects patient with E-therapy . TIPS can acquire and process: Contextual Information: Geoposition, Physical activity Physiological Information: Heart rate, Skin Conductance, Breathing rate TIPS can communicate with: Mobile Devices : PDA, Mobile Phone, UMPC, Tablet PC TIS: (Therapy Intelligent Sensor) Wireless sensor nodes
010 Methods: Physical Activity Detection E-MENTAL HEALTH 08
Get the pattern of physical activity (intensity, frequency , duration and kind of PA)
Algoritm developed using gps, accelerometer and physiologic response
011 E-MENTAL HEALTH 08 Methods: Physical Activity Detection
Laboratory application that registers the values of the TIPS and allows to make marks for the changes of activity or position.
012 E-MENTAL HEALTH 08 Methods: Geoposition Context-Aware Therapy
Interchange messages between TIPS and Therapist
Therapist can mark points (Therapy points) to interact with the patient
Therapeutic services whith the geographic context of the patient
013 E-MENTAL HEALTH 08 Results
014 E-MENTAL HEALTH 08 Results: Physical Activity (Calibration) Bouten et al found that anteroposterior acceleration a good estimator of physical activity It has been designed a proprietary protocol . Our intention is to correlate the activity with the accelerometer and heart rate vs. indirect calorimetry (FITMATE PRO)
015 E-MENTAL HEALTH 08 Results: Physical Activity in Obese Children (ETIOBE) It has been designed a clinic protocol for testing TIPS in obese children Two groups of 20 children (male/female subjects 10±4 years) Detect not only active states but the sedentaries states like seating on the sofa or lying on the bed Cuestionnaries for detecting physical and diet habits and ergonomy are complained at the end
016 E-MENTAL HEALTH 08 Results: Physical Activity in Obese Children (ETIOBE) Tests are located at the Pediatric Department of the Hospital General of Valencia Momentary results shows two first conclusions : High variability on the response of the children to the effort. The feasibility of the platform as an ambulatory tool.
Physiological state is stored for future studies
021 E-MENTAL HEALTH 08 Conclusions
022 Conclusions E-MENTAL HEALTH 08 Wireless sensory platform such as TIPS will allow the development of multiple scenarios of Intelligent Therapy Environments where the user receives an individualized treatment and where the environment interact in a smart manner with the user(AmI) Therapist will have valuable information to assess the status of their patients and the effectiveness of therapy Next steps: Testing the validity and feasibility of the platform in all application scenarios described
LabHuman 2008 –Thank you for your attention Mariano Alcañiz Raya Director LabHuman email@example.com