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Information Society Technologies (IST)
Sixth EU Framework Programme for Research and Technological Development (FP6)
Subproject 1
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Scope (role within the project, interrelation with other SPs)
  1. Definition of sleep/wakefulness and their transition states, as well as stress, inattention and emotional states, by a set of measurable criteria and their correlation with measurement methodologies and tools, all included in a benchmarking database and used through a knowledge-based sleep/wakefulness clustering tool.
  2. Modeling of sleep stages and extraction of requirements and specifications for sensors to measure the required model parameters.
  3. Construction of a wide pattern database of sleep/wakefulness, as a knowledge basis for the development and evaluation of sleep detection and management criteria, tools, sensors and systems.
  1. Construction of a wide pattern database of involuntary wakefulness to sleep transition (from a series of real life tasks), as a knowledge basis for the development and evaluation of hypovigilance detection and prediction criteria, tools, sensors and systems.
  2. Recommendations for the development of technologies, micro and nano sensors for unobtrusive monitoring of brain state and activity (in relation to SP2) to be used in the medical practice (in relation with SP3) and in industrial applications (in relation to SP4).
Objectives

The main objective of SENSATION is the introduction of a technological framework and modular system for hypovigilance monitoring and management for cross-sector applications, based on micro and nano sensor technology.

Research issues:
  1. How can we define sleep stages by physiological measurements? (A1.1.1)
  2. How can we define sleep/wakefulness involuntary transitions by physiological measurements? (A1.1.2)
  3. How are the above criteria and measurement methods adapted in case of pathological sleep states? (A1.1.3)
  4. How can we define stress, inattention, and emotional states by physiological measurements? (A1.1.4)
  5. What do all the above mean in terms of sensor requirements and data acquisition techniques to realize the above measurements? (A1.1.5 and WP1.2)
Technological development issues:
  1. Database benchmarking all the developed knowledge from the research phase (WP1.3).
  2. Development of a sleep/wakefulness clustering tool (WP1.4).
  3. Development of an enhanced mathematical model for needed sleep amount prediction (WP1.5).
  4. Development of a sleep/wakefulness pattern database with over 350 polysomnography recordings included, covering night and daytime sleep, all genders, ages and several different countries.
  5. Development of an alertness monitoring database with over 200 entries of involuntary wakefulness to sleep transition from 6 different tasks.
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Work plan
SP1 involves four major areas. The sub-project is comprised of eight work packages:
  1. Understanding and defining the human physiological states and their transitions (WP1.1, WP1.2, WP1.3).
  2. Developing clustering tools and transition models for them (WP1.4, WP1.5).
  3. Developing databases with recording data on voluntary (WP1.6) and involuntary (WP 1.7) wakefulness to sleep transition, as knowledge pool for future developments.
  4. Verification of developed criteria and tools of areas (1) and (2).
  1. WP1.1 Physiological states and their transitions (Leader: CEPA).
  2. WP1.2 Data acquisition techniques and their improvement for developing new sensors (Leader: TSG).
  3. WP1.3 Criteria, tool and methodologies database (Leader: CERTH).
  4. WP1.4 Sleep/Wakefulness Clustering tool (Leader: OFAI).
  5. WP1.5 Enhanced mathematical model for prediction of needed sleep amount (Leader: DLR).
  6. WP1.6 Sleep/wakefulness pattern database (Leader: TSG).
  7. WP1.7 Alertness Monitoring database (Leader: CERTH).
  8. WP1.8 Validation of developed tools (Leader: OFAI).
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Expected results

Future advances in research focusing on modern diseases associated to our social habits require unobtrusive monitoring of physiological and psychological parameters in order to gather information in real life, daily situations. Unobtrusive equipment will make this possible and will provide entirely new research opportunities.

The same type of equipment will also revolutionize diagnostics since, again, information on physiological status will be obtainable from the patient's normal environment - not the physician's office or the hospital bed where vital measures are virtually irrelevant for diagnosing a patients normal daily physiological responses.

SENSATION intends to impact the detection, prediction and resolution of problems of attention, vigilance, stress and other sleep related problems. Such problems are of multi-disciplinary nature with psychological and physiological factors. SP1 is aimed at synthesizing and consolidating the scientific knowledge to define usable models that integrate different aspects to enable detection, prediction and resolution in real-life situation.

Innovations in the area of sensor development will also enable more physiological insight and fundamental research by enabling unobtrusive measures of various physiological parameters for example: arterial pressure, ECG activity corrected for body-position, blood flow and oxygen, respiration, combined measures of cognitive states. For instance, the continuous monitoring is of outmost importance to the aging population.

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