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A Wearable Real-time Activity Tracker
Ulf Jensen,Heike Leutheuser,Steffen Hofmann,Benno Schuepferling,Gerald Suttner,Kristin Seiler,Johannes Kornhuber,Bjoern M. Eskofier 대한의용생체공학회 2015 Biomedical Engineering Letters (BMEL) Vol.5 No.2
Purpose Exercise and physical activity is a driving force for mental health. Major challenges in the treatment of psychological diseases are accurate activity profiles and the adherence to exercise intervention programs. We present the development and validation of CHRONACT, a wearable realtime activity tracker based on inertial sensor data to support mental health. Methods CHRONACT comprised a Human Activity Recognition (HAR) algorithm that determined activity levels based on their Metabolic Equivalent of Task (MET) with sensors on ankle and wrist. Special emphasis was put on wearability, real-time data analysis and runtime to be able to use the system as augmented feedback device. For the development, data of 47 healthy subjects performing clinical intervention program activities were collected to train different classification models. The most suitable model according to the accuracy and processing power tradeoff was selected for an embedded implementation on CHRONACT. Results A validation trial (six subjects, 6 h of data) showed the accuracy of the system with a classification rate of 85.6%. The main source of error was identified in acyclic activities that contained activity bouts of neighboring classes. The runtime of the system was more than 7 days and continuous result logging was available for 39 h. Conclusions In future applications, the CHRONACT system can be used to create accurate and unobtrusive patient activity profiles. Furthermore, the system is ready to assess the effects of individual augmented feedback for exercise adherence.
Stö,ber, Gerald,Ben-Shachar, Dorit,Cardon, M.,Falkai, Peter,Fonteh, Alfred N.,Gawlik, Micha,Glenthoj, Birte Y.,Grü,nblatt, Edna,Jablensky, Assen,Kim, Yong-Ku,Kornhuber, Johannes,McNeil, Thomas Informa UK (TaylorFrancis) 2009 The world journal of biological psychiatry Vol.10 No.2
<P>Objective. The phenotypic complexity, together with the multifarious nature of the so-called 'schizophrenic psychoses', limits our ability to form a simple and logical biologically based hypothesis for the disease group. Biological markers are defined as biochemical, physiological or anatomical traits that are specific to particular conditions. An important aim of biomarker discovery is the detection of disease correlates that can be used as diagnostic tools. Method. A selective review of the WFSBP Task Force on Biological Markers in schizophrenia is provided from the central nervous system to phenotypes, functional brain systems, chromosomal loci with potential genetic markers to the peripheral systems. Results. A number of biological measures have been proposed to be correlated with schizophrenia. At present, not a single biological trait in schizophrenia is available which achieves sufficient specificity, selectivity and is based on causal pathology and predictive validity to be recommended as diagnostic marker. Conclusions. With the emergence of new technologies and rigorous phenotypic subclassification the identification of genetic bases and assessment of dynamic disease related alterations will hopefully come to a new stage in the complex field of psychiatric research.</P>
Vascular and Neurogenic Rejuvenation in Aging Mice by Modulation of ASM
Park, Min Hee,Lee, Ju Youn,Park, Kang Ho,Jung, In Kyung,Kim, Kyoung-Tae,Lee, Yong-Seok,Ryu, Hyun-Hee,Jeong, Yong,Kang, Minseok,Schwaninger, Markus,Gulbins, Erich,Reichel, Martin,Kornhuber, Johannes,Ya Elsevier 2018 Neuron Vol.100 No.3
Vascular and Neurogenic Rejuvenation in Aging Mice by Modulation of ASM
Park, Min Hee,Lee, Ju Youn,Park, Kang Ho,Jung, In Kyung,Kim, Kyoung-Tae,Lee, Yong-Seok,Ryu, Hyun-Hee,Jeong, Yong,Kang, Minseok,Schwaninger, Markus,Gulbins, Erich,Reichel, Martin,Kornhuber, Johannes,Ya Elsevier 2018 Neuron Vol.100 No.1
<P><B>Summary</B></P> <P>Although many reports have revealed dysfunction of endothelial cells in aging, resulting in blood-brain barrier (BBB) breakdown, the underlying mechanism or mechanisms remain to be explored. Here, we find that acid sphingomyelinase (ASM) is a critical factor for regulating brain endothelial barrier integrity. ASM is increased in brain endothelium and/or plasma of aged humans and aged mice, leading to BBB disruption by increasing caveolae-mediated transcytosis. Genetic inhibition and endothelial-specific knockdown of ASM in mice ameliorated BBB breakdown and neurocognitive impairment during aging. Using primary mouse brain endothelial cells, we found that ASM regulated the caveolae-cytoskeleton interaction through protein phosphatase 1-mediated ezrin/radixin/moesin (ERM) dephosphorylation and apoptosis. Moreover, mice with conditional ASM overexpression in brain endothelium accelerated significant BBB impairment and neurodegenerative change. Overall, these results reveal a novel role for ASM in the control of neurovascular function in aging, suggesting that ASM may represent a new therapeutic target for anti-aging.</P> <P><B>Highlights</B></P> <P> <UL> <LI> ASM activity is upregulated in brain and/or plasma of aged humans and mice </LI> <LI> Brain endothelial cell is a main contributor of increased ASM in aging </LI> <LI> Increased ASM in aging causes BBB impairment and neuronal dysfunction </LI> <LI> It is regulated by caveolae-mediated transcytosis and ERM dephosphorylation </LI> </UL> </P>