MotoSD


Monitoring and Treatment of Obesity-related Sleeping Disorders

 

Principal Investigator at ASE: Prof. Jukka Lekkala
Duration of the project: 1.1.2011 - 31.12.2012

The main goal of the project is to generate novel strategies for diagnosis and treatment of sleep obesity-related disorders, obesity and associated illnesses. New biomarkers of the risk cluster for sleep disorder as well as a compact, mobile sensor set for in-home monitoring are developed in the project.


The specific aim of this research is to acquire knowledge and develop technologies based on novel sensors, mobile communication platforms, and sensor fusion as well as seeking new biomarkers which can be used to improve sleep and quality of life. The work basis on a well documented and planned field test with estimated 100 user cases generating unique data bank. We anticipate through 3 work packages to:

 

  • Develop different non-contact sensors which can be used in different environmental settings, such as at home and in rehabilitation centre.
  • Develop algorithms for sleep analysis.
  • Explore new knowledge of biomarkers related to obesity-related sleep disorder.
  • Compare subjective self-evaluation of sleep quality to the objective measures such as electroencephalograph (EEG) and non-contact heart rate/motion sensors.
  • Develop optimal exercise and diet programs for preventing sleep disorders.
  • Synchronize bioelectric signals with biochemical markers to find health and risk clusters for sleep quality and disorders.
     

 

The novel approach of this project lies in combining physical and chemical assessments and using a bioinformatics method for characterizing comprehensive factors that are related to sleep disorders, including obstructive sleep apnea (OSA) -related sleep disorder in the obese. Specifically, we anticipate finding:
1. Non-contact assessments for sleeping quality
2. Detection methods for motion during sleeping
3. New biomarkers of risk cluster for sleep disorder and OSA.
4. Feasibility and validation of different technologies for measuring sleep quality
5. Optimal exercise and diet/meal pattern program for improving sleep disorder and ameliorating OSA symptom and obesity.

ASE focuses in the project in developing and evaluating non-contact methods for measuring physiological parameters during sleep.

Financing organizations:
Tekes
Finnish companies as: Univisio Oy, Finsor Oy , Suunto Oy, Nextwave Oy, Ecomedic Oy, Megaelectronics Oy, Wellness Foundry Holding Oy, Kuntoutumis- ja Liikuntasäätiö Peurunka

Research personnel at ASE:
Antti Vehkaoja

Cooperation organizations and units:
Tampere University of Technology (TUT):
Department of Electronics (ELE)
Department of Biomedical Engineering (BME)
University of Jyväskylä (JYU):
Department of Health Science (HS)
Department of Chemistry (Ch)
Department of Information Technology (IT)
Department of Psychology (Psy)

 


Updated by: Malkamäki Carita, 05.05.2011 10:12.
Content owner: Lekkala Jukka
Keywords: science and research
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