Stress and fitness monitoring embedded on a modern telematics platform.
Identifieur interne : 000797 ( Ncbi/Curation ); précédent : 000796; suivant : 000798Stress and fitness monitoring embedded on a modern telematics platform.
Auteurs : Mbusa C. Takenga [Allemagne] ; Rolf-Dietrich Berndt ; Sebastian Kuehn ; Petra Preik ; Norbert Stoll ; Kerstin Thurow ; Mohit Kumar ; Sabine Behrendt ; Matthias Weippert ; Annika Rieger ; Regina StollSource :
- Telemedicine journal and e-health : the official journal of the American Telemedicine Association [ 1556-3669 ] ; 2012.
Descripteurs français
- KwdFr :
- MESH :
- diagnostic : Stress psychologique.
- instrumentation : Aptitude physique, Humains, Surveillance ambulatoire, Télémédecine.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Stress, Psychological.
- instrumentation : Monitoring, Ambulatory, Telemedicine.
- methods : Monitoring, Ambulatory, Telemedicine.
- Humans, Physical Fitness.
Abstract
Lack of regular physical activity and high stress levels are the leading causes of several illnesses. There is thus a real need for a personal low-cost and mobile monitoring solution over extended periods to prevent health risks. Based on the above fact, this article presents a system capable of estimating and monitoring both stress and fitness levels without a physical consultation of a medical specialist. The system consists of three main subcomponents: a mobile real-time acquisition of physiological as well as subjective data, an expert model for stress and fitness estimations based on physiological signals collected from wireless vital sensors, and a secure and scalable telematics platform on which the entire system is embedded. Features and tasks performed by the telematics platform will be presented. The experimental part of the work involved a representative number of subjects. Results for 110 subjects whose fitness levels were assessed at different periods of the year and 50 individuals whose stress scores were assessed at different times of the day showed a high correlation of the estimated values with the true ones. The application of such a low-cost monitoring system will improve the quality of service in preventive medicine.
DOI: 10.1089/tmj.2011.0202
PubMed: 22500742
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pubmed:22500742Le document en format XML
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Takenga</name><affiliation wicri:level="1"><nlm:affiliation>Infokom GmbH, Neubrandenburg, Germany. ctakenga@infokom.de</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Infokom GmbH, Neubrandenburg</wicri:regionArea><wicri:noRegion>Neubrandenburg</wicri:noRegion><wicri:noRegion>Neubrandenburg</wicri:noRegion><wicri:noRegion>Neubrandenburg</wicri:noRegion></affiliation></author><author><name sortKey="Berndt, Rolf Dietrich" sort="Berndt, Rolf Dietrich" uniqKey="Berndt R" first="Rolf-Dietrich" last="Berndt">Rolf-Dietrich Berndt</name></author><author><name sortKey="Kuehn, Sebastian" sort="Kuehn, Sebastian" uniqKey="Kuehn S" first="Sebastian" last="Kuehn">Sebastian Kuehn</name></author><author><name sortKey="Preik, Petra" sort="Preik, Petra" uniqKey="Preik P" first="Petra" last="Preik">Petra Preik</name></author><author><name sortKey="Stoll, Norbert" sort="Stoll, Norbert" uniqKey="Stoll N" first="Norbert" last="Stoll">Norbert Stoll</name></author><author><name sortKey="Thurow, Kerstin" sort="Thurow, Kerstin" uniqKey="Thurow K" first="Kerstin" last="Thurow">Kerstin Thurow</name></author><author><name sortKey="Kumar, Mohit" sort="Kumar, Mohit" uniqKey="Kumar M" first="Mohit" last="Kumar">Mohit Kumar</name></author><author><name sortKey="Behrendt, Sabine" sort="Behrendt, Sabine" uniqKey="Behrendt S" first="Sabine" last="Behrendt">Sabine Behrendt</name></author><author><name sortKey="Weippert, Matthias" sort="Weippert, Matthias" uniqKey="Weippert M" first="Matthias" last="Weippert">Matthias Weippert</name></author><author><name sortKey="Rieger, Annika" sort="Rieger, Annika" uniqKey="Rieger A" first="Annika" last="Rieger">Annika Rieger</name></author><author><name sortKey="Stoll, Regina" sort="Stoll, Regina" uniqKey="Stoll R" first="Regina" last="Stoll">Regina Stoll</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="doi">10.1089/tmj.2011.0202</idno><idno type="RBID">pubmed:22500742</idno><idno type="pmid">22500742</idno><idno type="wicri:Area/PubMed/Corpus">000293</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000293</idno><idno type="wicri:Area/PubMed/Curation">000293</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000293</idno><idno type="wicri:Area/PubMed/Checkpoint">000293</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000293</idno><idno type="wicri:Area/Ncbi/Merge">000797</idno><idno type="wicri:Area/Ncbi/Curation">000797</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Stress and fitness monitoring embedded on a modern telematics platform.</title><author><name sortKey="Takenga, Mbusa C" sort="Takenga, Mbusa C" uniqKey="Takenga M" first="Mbusa C" last="Takenga">Mbusa C. Takenga</name><affiliation wicri:level="1"><nlm:affiliation>Infokom GmbH, Neubrandenburg, Germany. ctakenga@infokom.de</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Infokom GmbH, Neubrandenburg</wicri:regionArea><wicri:noRegion>Neubrandenburg</wicri:noRegion><wicri:noRegion>Neubrandenburg</wicri:noRegion><wicri:noRegion>Neubrandenburg</wicri:noRegion></affiliation></author><author><name sortKey="Berndt, Rolf Dietrich" sort="Berndt, Rolf Dietrich" uniqKey="Berndt R" first="Rolf-Dietrich" last="Berndt">Rolf-Dietrich Berndt</name></author><author><name sortKey="Kuehn, Sebastian" sort="Kuehn, Sebastian" uniqKey="Kuehn S" first="Sebastian" last="Kuehn">Sebastian Kuehn</name></author><author><name sortKey="Preik, Petra" sort="Preik, Petra" uniqKey="Preik P" first="Petra" last="Preik">Petra Preik</name></author><author><name sortKey="Stoll, Norbert" sort="Stoll, Norbert" uniqKey="Stoll N" first="Norbert" last="Stoll">Norbert Stoll</name></author><author><name sortKey="Thurow, Kerstin" sort="Thurow, Kerstin" uniqKey="Thurow K" first="Kerstin" last="Thurow">Kerstin Thurow</name></author><author><name sortKey="Kumar, Mohit" sort="Kumar, Mohit" uniqKey="Kumar M" first="Mohit" last="Kumar">Mohit Kumar</name></author><author><name sortKey="Behrendt, Sabine" sort="Behrendt, Sabine" uniqKey="Behrendt S" first="Sabine" last="Behrendt">Sabine Behrendt</name></author><author><name sortKey="Weippert, Matthias" sort="Weippert, Matthias" uniqKey="Weippert M" first="Matthias" last="Weippert">Matthias Weippert</name></author><author><name sortKey="Rieger, Annika" sort="Rieger, Annika" uniqKey="Rieger A" first="Annika" last="Rieger">Annika Rieger</name></author><author><name sortKey="Stoll, Regina" sort="Stoll, Regina" uniqKey="Stoll R" first="Regina" last="Stoll">Regina Stoll</name></author></analytic><series><title level="j">Telemedicine journal and e-health : the official journal of the American Telemedicine Association</title><idno type="eISSN">1556-3669</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Humans</term><term>Monitoring, Ambulatory (instrumentation)</term><term>Monitoring, Ambulatory (methods)</term><term>Physical Fitness</term><term>Stress, Psychological (diagnosis)</term><term>Telemedicine (instrumentation)</term><term>Telemedicine (methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Aptitude physique</term><term>Humains</term><term>Stress psychologique (diagnostic)</term><term>Surveillance ambulatoire ()</term><term>Surveillance ambulatoire (instrumentation)</term><term>Télémédecine ()</term><term>Télémédecine (instrumentation)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Stress, Psychological</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Stress psychologique</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Monitoring, Ambulatory</term><term>Telemedicine</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Monitoring, Ambulatory</term><term>Telemedicine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Physical Fitness</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="fr"><term>Aptitude physique</term><term>Humains</term><term>Surveillance ambulatoire</term><term>Télémédecine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Lack of regular physical activity and high stress levels are the leading causes of several illnesses. There is thus a real need for a personal low-cost and mobile monitoring solution over extended periods to prevent health risks. Based on the above fact, this article presents a system capable of estimating and monitoring both stress and fitness levels without a physical consultation of a medical specialist. The system consists of three main subcomponents: a mobile real-time acquisition of physiological as well as subjective data, an expert model for stress and fitness estimations based on physiological signals collected from wireless vital sensors, and a secure and scalable telematics platform on which the entire system is embedded. Features and tasks performed by the telematics platform will be presented. The experimental part of the work involved a representative number of subjects. Results for 110 subjects whose fitness levels were assessed at different periods of the year and 50 individuals whose stress scores were assessed at different times of the day showed a high correlation of the estimated values with the true ones. The application of such a low-cost monitoring system will improve the quality of service in preventive medicine.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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