[{"user_id":"46","department":[{"_id":"17"}],"_id":"44545","keyword":["Cognitive Neuroscience","Aging"],"type":"journal_article","publication":"Frontiers in Aging Neuroscience","status":"public","abstract":[{"lang":"eng","text":"<jats:sec><jats:title>Introduction</jats:title><jats:p>Exergames are increasingly used in rehabilitation settings for older adults to train physical and cognitive abilities. To meet the potential that exergames hold, they need to be adapted to the individual abilities of the player and their training objectives. Therefore, it is important to know whether and how game characteristics affect their playing. The aim of this study is to investigate the effect of two different kinds of exergame (step game and balance game) played at two difficulty levels on brain activity and physical activity.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Twenty-eight older independently living adults played two different exergames at two difficulty levels each. In addition, the same movements as during gaming (leaning sideways with feet in place and stepping sideways) were performed as reference movements. Brain activity was recorded using a 64-channel EEG system to assess brain activity, while physical activity was recorded using an accelerometer at the lower back and a heart rate sensor. Source-space analysis was applied to analyze the power spectral density in theta (4 Hz–7 Hz) and alpha-2 (10 Hz–12 Hz) frequency bands. Vector magnitude was applied to the acceleration data.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Friedman ANOVA revealed significantly higher theta power for the exergaming conditions compared to the reference movement for both games. Alpha-2 power showed a more diverse pattern which might be attributed to task-specific conditions. Acceleration decreased significantly from the reference movement to the easy condition to the hard condition for both games.</jats:p></jats:sec><jats:sec><jats:title>Discussion</jats:title><jats:p>The results indicate that exergaming increases frontal theta activity irrespective of type of game or difficulty level, while physical activity decreases with increasing difficulty level. Heart rate was found to be an inappropriate measure in this population older adults. These findings contribute to understanding of how game characteristics affect physical and cognitive activity and consequently need to be taken into account when choosing appropriate games and game settings for exergame interventions.</jats:p></jats:sec>"}],"date_created":"2023-05-07T11:36:29Z","author":[{"first_name":"Helen","last_name":"Müller","full_name":"Müller, Helen"},{"first_name":"Jochen","full_name":"Baumeister, Jochen","last_name":"Baumeister"},{"first_name":"Ellen Marie","full_name":"Bardal, Ellen Marie","last_name":"Bardal"},{"full_name":"Vereijken, Beatrix","last_name":"Vereijken","first_name":"Beatrix"},{"full_name":"Skjæret-Maroni, Nina","last_name":"Skjæret-Maroni","first_name":"Nina"}],"volume":15,"publisher":"Frontiers Media SA","date_updated":"2023-05-07T11:36:56Z","doi":"10.3389/fnagi.2023.1143859","title":"Exergaming in older adults: the effects of game characteristics on brain activity and physical activity","publication_status":"published","publication_identifier":{"issn":["1663-4365"]},"citation":{"apa":"Müller, H., Baumeister, J., Bardal, E. M., Vereijken, B., &#38; Skjæret-Maroni, N. (2023). Exergaming in older adults: the effects of game characteristics on brain activity and physical activity. <i>Frontiers in Aging Neuroscience</i>, <i>15</i>. <a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">https://doi.org/10.3389/fnagi.2023.1143859</a>","bibtex":"@article{Müller_Baumeister_Bardal_Vereijken_Skjæret-Maroni_2023, title={Exergaming in older adults: the effects of game characteristics on brain activity and physical activity}, volume={15}, DOI={<a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>}, journal={Frontiers in Aging Neuroscience}, publisher={Frontiers Media SA}, author={Müller, Helen and Baumeister, Jochen and Bardal, Ellen Marie and Vereijken, Beatrix and Skjæret-Maroni, Nina}, year={2023} }","short":"H. Müller, J. Baumeister, E.M. Bardal, B. Vereijken, N. Skjæret-Maroni, Frontiers in Aging Neuroscience 15 (2023).","mla":"Müller, Helen, et al. “Exergaming in Older Adults: The Effects of Game Characteristics on Brain Activity and Physical Activity.” <i>Frontiers in Aging Neuroscience</i>, vol. 15, Frontiers Media SA, 2023, doi:<a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>.","ama":"Müller H, Baumeister J, Bardal EM, Vereijken B, Skjæret-Maroni N. Exergaming in older adults: the effects of game characteristics on brain activity and physical activity. <i>Frontiers in Aging Neuroscience</i>. 2023;15. doi:<a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>","chicago":"Müller, Helen, Jochen Baumeister, Ellen Marie Bardal, Beatrix Vereijken, and Nina Skjæret-Maroni. “Exergaming in Older Adults: The Effects of Game Characteristics on Brain Activity and Physical Activity.” <i>Frontiers in Aging Neuroscience</i> 15 (2023). <a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">https://doi.org/10.3389/fnagi.2023.1143859</a>.","ieee":"H. Müller, J. Baumeister, E. M. Bardal, B. Vereijken, and N. Skjæret-Maroni, “Exergaming in older adults: the effects of game characteristics on brain activity and physical activity,” <i>Frontiers in Aging Neuroscience</i>, vol. 15, 2023, doi: <a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>."},"intvolume":"        15","year":"2023"},{"publication":"Frontiers in Aging Neuroscience","type":"journal_article","status":"public","abstract":[{"text":"<jats:sec><jats:title>Introduction</jats:title><jats:p>Exergames are increasingly used in rehabilitation settings for older adults to train physical and cognitive abilities. To meet the potential that exergames hold, they need to be adapted to the individual abilities of the player and their training objectives. Therefore, it is important to know whether and how game characteristics affect their playing. The aim of this study is to investigate the effect of two different kinds of exergame (step game and balance game) played at two difficulty levels on brain activity and physical activity.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Twenty-eight older independently living adults played two different exergames at two difficulty levels each. In addition, the same movements as during gaming (leaning sideways with feet in place and stepping sideways) were performed as reference movements. Brain activity was recorded using a 64-channel EEG system to assess brain activity, while physical activity was recorded using an accelerometer at the lower back and a heart rate sensor. Source-space analysis was applied to analyze the power spectral density in theta (4 Hz–7 Hz) and alpha-2 (10 Hz–12 Hz) frequency bands. Vector magnitude was applied to the acceleration data.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Friedman ANOVA revealed significantly higher theta power for the exergaming conditions compared to the reference movement for both games. Alpha-2 power showed a more diverse pattern which might be attributed to task-specific conditions. Acceleration decreased significantly from the reference movement to the easy condition to the hard condition for both games.</jats:p></jats:sec><jats:sec><jats:title>Discussion</jats:title><jats:p>The results indicate that exergaming increases frontal theta activity irrespective of type of game or difficulty level, while physical activity decreases with increasing difficulty level. Heart rate was found to be an inappropriate measure in this population older adults. These findings contribute to understanding of how game characteristics affect physical and cognitive activity and consequently need to be taken into account when choosing appropriate games and game settings for exergame interventions.</jats:p></jats:sec>","lang":"eng"}],"department":[{"_id":"17"}],"user_id":"46","_id":"45149","language":[{"iso":"eng"}],"keyword":["Cognitive Neuroscience","Aging"],"publication_identifier":{"issn":["1663-4365"]},"publication_status":"published","intvolume":"        15","citation":{"chicago":"Müller, Helen Martha, Jochen Baumeister, Ellen Marie Bardal, Beatrix Vereijken, and Nina Skjæret-Maroni. “Exergaming in Older Adults: The Effects of Game Characteristics on Brain Activity and Physical Activity.” <i>Frontiers in Aging Neuroscience</i> 15 (2023). <a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">https://doi.org/10.3389/fnagi.2023.1143859</a>.","ieee":"H. M. Müller, J. Baumeister, E. M. Bardal, B. Vereijken, and N. Skjæret-Maroni, “Exergaming in older adults: the effects of game characteristics on brain activity and physical activity,” <i>Frontiers in Aging Neuroscience</i>, vol. 15, 2023, doi: <a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>.","ama":"Müller HM, Baumeister J, Bardal EM, Vereijken B, Skjæret-Maroni N. Exergaming in older adults: the effects of game characteristics on brain activity and physical activity. <i>Frontiers in Aging Neuroscience</i>. 2023;15. doi:<a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>","apa":"Müller, H. M., Baumeister, J., Bardal, E. M., Vereijken, B., &#38; Skjæret-Maroni, N. (2023). Exergaming in older adults: the effects of game characteristics on brain activity and physical activity. <i>Frontiers in Aging Neuroscience</i>, <i>15</i>. <a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">https://doi.org/10.3389/fnagi.2023.1143859</a>","short":"H.M. Müller, J. Baumeister, E.M. Bardal, B. Vereijken, N. Skjæret-Maroni, Frontiers in Aging Neuroscience 15 (2023).","mla":"Müller, Helen Martha, et al. “Exergaming in Older Adults: The Effects of Game Characteristics on Brain Activity and Physical Activity.” <i>Frontiers in Aging Neuroscience</i>, vol. 15, Frontiers Media SA, 2023, doi:<a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>.","bibtex":"@article{Müller_Baumeister_Bardal_Vereijken_Skjæret-Maroni_2023, title={Exergaming in older adults: the effects of game characteristics on brain activity and physical activity}, volume={15}, DOI={<a href=\"https://doi.org/10.3389/fnagi.2023.1143859\">10.3389/fnagi.2023.1143859</a>}, journal={Frontiers in Aging Neuroscience}, publisher={Frontiers Media SA}, author={Müller, Helen Martha and Baumeister, Jochen and Bardal, Ellen Marie and Vereijken, Beatrix and Skjæret-Maroni, Nina}, year={2023} }"},"year":"2023","volume":15,"author":[{"first_name":"Helen Martha","full_name":"Müller, Helen Martha","id":"40188","last_name":"Müller"},{"id":"46","full_name":"Baumeister, Jochen","last_name":"Baumeister","orcid":"0000-0003-2683-5826","first_name":"Jochen"},{"full_name":"Bardal, Ellen Marie","last_name":"Bardal","first_name":"Ellen Marie"},{"last_name":"Vereijken","full_name":"Vereijken, Beatrix","first_name":"Beatrix"},{"first_name":"Nina","full_name":"Skjæret-Maroni, Nina","last_name":"Skjæret-Maroni"}],"date_created":"2023-05-19T09:26:08Z","date_updated":"2023-05-19T09:35:02Z","publisher":"Frontiers Media SA","doi":"10.3389/fnagi.2023.1143859","title":"Exergaming in older adults: the effects of game characteristics on brain activity and physical activity"},{"language":[{"iso":"eng"}],"keyword":["Age advancement","age monitoring clock","aging rate","self-adjusting monitors"],"abstract":[{"lang":"eng","text":"Time-variant age information of different parts of a system can be used for system-level performance improvement through high-level task scheduling, thus extending the life-time of the system. Progressive age information should provide the age state that the system is in, and the rate that it is being aged at. In this paper, we propose a structure that monitors certain paths of a circuit and detects its gradual age growth, and provides the aging rate and aging state of the circuit. The proposed monitors are placed on a selected set of nodes that represent a timing bottleneck of the system. These monitors sample expected data on these nodes, and compare them with the expected values. The timing of sampling changes as the circuit ages and its delay increases. The timing of sampling will provide a measure of aging advancement of a circuit. To assess the efficacy of the proposed method and compare it with other state-of-the-art aging monitors, we use them on selected nodes of the execution unit of different processors, as well as some circuits from ITC99 benchmarks. The results reveal that the precision of our proposed method is between 0.12 (ns) to 0.401 (ns). Its Area and power overhead are negligible and are about 2.13 and 0.69 percent respectively."}],"publication":"IEEE Transactions on Emerging Topics in Computing","title":"Self-Adjusting Monitor for Measuring Aging Rate and Advancement","date_created":"2022-01-19T13:45:51Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","year":"2017","issue":"3","extern":"1","user_id":"78614","department":[{"_id":"48"}],"_id":"29462","status":"public","type":"journal_article","doi":"10.1109/tetc.2017.2771441","author":[{"full_name":"Sadeghi-Kohan, Somayeh","id":"78614","orcid":"https://orcid.org/0000-0001-7246-0610","last_name":"Sadeghi-Kohan","first_name":"Somayeh"},{"last_name":"Kamal","full_name":"Kamal, Mehdi","first_name":"Mehdi"},{"last_name":"Navabi","full_name":"Navabi, Zainalabedin","first_name":"Zainalabedin"}],"volume":8,"date_updated":"2023-08-02T11:36:30Z","citation":{"chicago":"Sadeghi-Kohan, Somayeh, Mehdi Kamal, and Zainalabedin Navabi. “Self-Adjusting Monitor for Measuring Aging Rate and Advancement.” <i>IEEE Transactions on Emerging Topics in Computing</i> 8, no. 3 (2017): 627–41. <a href=\"https://doi.org/10.1109/tetc.2017.2771441\">https://doi.org/10.1109/tetc.2017.2771441</a>.","ieee":"S. Sadeghi-Kohan, M. Kamal, and Z. Navabi, “Self-Adjusting Monitor for Measuring Aging Rate and Advancement,” <i>IEEE Transactions on Emerging Topics in Computing</i>, vol. 8, no. 3, pp. 627–641, 2017, doi: <a href=\"https://doi.org/10.1109/tetc.2017.2771441\">10.1109/tetc.2017.2771441</a>.","ama":"Sadeghi-Kohan S, Kamal M, Navabi Z. Self-Adjusting Monitor for Measuring Aging Rate and Advancement. <i>IEEE Transactions on Emerging Topics in Computing</i>. 2017;8(3):627-641. doi:<a href=\"https://doi.org/10.1109/tetc.2017.2771441\">10.1109/tetc.2017.2771441</a>","short":"S. Sadeghi-Kohan, M. Kamal, Z. Navabi, IEEE Transactions on Emerging Topics in Computing 8 (2017) 627–641.","mla":"Sadeghi-Kohan, Somayeh, et al. “Self-Adjusting Monitor for Measuring Aging Rate and Advancement.” <i>IEEE Transactions on Emerging Topics in Computing</i>, vol. 8, no. 3, Institute of Electrical and Electronics Engineers (IEEE), 2017, pp. 627–41, doi:<a href=\"https://doi.org/10.1109/tetc.2017.2771441\">10.1109/tetc.2017.2771441</a>.","bibtex":"@article{Sadeghi-Kohan_Kamal_Navabi_2017, title={Self-Adjusting Monitor for Measuring Aging Rate and Advancement}, volume={8}, DOI={<a href=\"https://doi.org/10.1109/tetc.2017.2771441\">10.1109/tetc.2017.2771441</a>}, number={3}, journal={IEEE Transactions on Emerging Topics in Computing}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Sadeghi-Kohan, Somayeh and Kamal, Mehdi and Navabi, Zainalabedin}, year={2017}, pages={627–641} }","apa":"Sadeghi-Kohan, S., Kamal, M., &#38; Navabi, Z. (2017). Self-Adjusting Monitor for Measuring Aging Rate and Advancement. <i>IEEE Transactions on Emerging Topics in Computing</i>, <i>8</i>(3), 627–641. <a href=\"https://doi.org/10.1109/tetc.2017.2771441\">https://doi.org/10.1109/tetc.2017.2771441</a>"},"intvolume":"         8","page":"627-641","publication_status":"published","publication_identifier":{"issn":["2168-6750","2376-4562"]}}]