{"id":24506,"date":"2024-12-16T08:00:00","date_gmt":"2024-12-16T06:00:00","guid":{"rendered":"https:\/\/oewf.org\/?p=24506"},"modified":"2024-12-17T10:44:49","modified_gmt":"2024-12-17T08:44:49","slug":"amadee-24-science-series-simulation-system-for-stress-management-in-extreme-environments","status":"publish","type":"post","link":"https:\/\/oewf.org\/en\/2024\/12\/amadee-24-science-series-simulation-system-for-stress-management-in-extreme-environments\/","title":{"rendered":"AMADEE-24 Science Series: Simulation System for Stress Management in Extreme Environments"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Crewed missions to Moon and Mars are foreseen for the coming decades, posing new challenges for human movement science, particularly regarding space suit design, mobility, and motor control in different gravitational environments (Belobrajdic et al., 2021). The risk for operational errors and injuries in astronauts are increased by mental and physical fatigue (Mehta &amp; Nuamah, 2021). We propose an integrative multisensory approach to conduct movement science in analog space missions by implementing digital twin models of environment and astronaut. Furthermore, a muscular fatigue simulation provides predictions on proposed tasks and traverses to optimize EVA operations based on astronaut\u2019s capabilities. Two proof of concept studies were conducted based on the AMADEE-24 data.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"917\" height=\"600\" src=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/IMG_4256.jpg\" alt=\"Benjamin Reimeir, Institute for Mechatronics, University of Innsbruck, explained the Farside experiment at the Mission Support Center during the AMADEE-24 Mars simulation (c) OeWF\" class=\"wp-image-24514\" srcset=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/IMG_4256.jpg 917w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/IMG_4256-300x196.jpg 300w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/IMG_4256-600x393.jpg 600w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/IMG_4256-768x503.jpg 768w\" sizes=\"auto, (max-width: 917px) 100vw, 917px\" \/><figcaption class=\"wp-element-caption\"><em>Benjamin Reimeir, Institute for Mechatronics, University of Innsbruck,<\/em> ex<em>plained the Farside experiment at the Mission Support Center during the AMADEE-24 Mars simulation (c) OeWF<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Analog astronauts had to perform four generic geoscientific operations at different experiment sites approximately 50m apart at the beginning and the end of an EVA. All tasks and the ambulatory pathways were recorded using inertial motion capture (Xsens) to track the whole-body kinematics and EMG (Cometa) on eight muscles in the upper and lower body, additionally to the suit telemetry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GPS and heart rate data of previous missions was used to develop individual physiological traverse models. An environmental model was constructed in Blender 4.1 based on the high-resolution drone images of the AMADEE-24 test site. A co-simulation of both models was performed to predict walking speeds and physiological responses during the traverses of six different EVAs of the AMADEE-24 mission (Fig.1). Predictions were compared to observed telemetry data.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"1067\" src=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/OeWF_20240318-1539_A24_Florian-Voggeneder_OG_9286.jpg\" alt=\"AMADEE-24 Analog Astronauts driving quad bike during an EVA in Armenia (c) OeWF\/vog.photo\" class=\"wp-image-24517\" srcset=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/OeWF_20240318-1539_A24_Florian-Voggeneder_OG_9286.jpg 1600w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/OeWF_20240318-1539_A24_Florian-Voggeneder_OG_9286-300x200.jpg 300w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/OeWF_20240318-1539_A24_Florian-Voggeneder_OG_9286-600x400.jpg 600w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/OeWF_20240318-1539_A24_Florian-Voggeneder_OG_9286-768x512.jpg 768w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/OeWF_20240318-1539_A24_Florian-Voggeneder_OG_9286-1536x1024.jpg 1536w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><figcaption class=\"wp-element-caption\"><em>AMADEE-24 Analog Astronauts driving quad bike during an EVA in Armenia (c) OeWF\/vog.photo<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">In the second study, whole-body kinematics were investigated to detect the influence of fatigue on the astronaut\u2019s gait pattern. Lateral trunk sway increased on average by 16% (7.55\u00b0 to 8.75\u00b0) and log-scaled center of mass jerk almost tripled over the course of an EVA (-5.69 to -5.87) (Fig.2). A PCA of the lower-body kinematics revealed increased contribution of movement components associated with lateral stability work and trunk sway.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The findings are in line with current research on fatigue-induced gait alterations (Vieira et al., 2016; Mohr &amp; Federolf, 2022). The novel aspect of our study is the detection of these adaptations in a complex, highly variable environment with many uncontrolled parameters.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Further developments focus on improving the functionality and validity of the digital twin models to enhance capabilities for movement analysis and predictions in crewed space missions.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2364\" height=\"1154\" src=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14.png\" alt=\"Fig. 1 Exemplary traverse model of an analog astronaut generated from A20 telemetry data. a) Density distribution of slope incline and corresponding traverse speed giving indication of preferred walking speed at given terrain. b) Predicted physiological response depending on traverse speed and slope incline. Red\nline illustrates the simulation of a planned traverse of an A24 EVA and the predicted traverse speed and heart rate of the respective astronaut.\" class=\"wp-image-24509\" srcset=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14.png 2364w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14-300x146.png 300w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14-600x293.png 600w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14-768x375.png 768w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14-1536x750.png 1536w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.26.14-2048x1000.png 2048w\" sizes=\"auto, (max-width: 2364px) 100vw, 2364px\" \/><figcaption class=\"wp-element-caption\"><em><strong>Fig. 1 <\/strong>Exemplary traverse model of an analog astronaut generated from A20 telemetry data.<strong> a) <\/strong>Density<br>distribution of slope incline and corresponding traverse speed giving indication of preferred walking speed<br>at given terrain. <strong>b) <\/strong>Predicted physiological response depending on traverse speed and slope incline. Red<br>line illustrates the simulation of a planned traverse of an A24 EVA and the predicted traverse speed and<br>heart rate of the respective astronaut.<\/em><\/figcaption><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2300\" height=\"1110\" src=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45.png\" alt=\"Fig. 2 Fatigue-induced kinematic adaptations in the gait pattern of four analog astronauts during A24 EVAs. a) Average increase in lateral trunk sway and b) center of mass jerk (Log Dimensionless Jerk) before EVA compared to after. Black line represents group mean and gray lines the individual adaptations. Blue and orange graph show exemplary astronauts over an averaged gait cycle.\" class=\"wp-image-24511\" srcset=\"https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45.png 2300w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45-300x145.png 300w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45-600x290.png 600w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45-768x371.png 768w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45-1536x741.png 1536w, https:\/\/oewf.org\/wp-content\/uploads\/2024\/12\/Bildschirmfoto-2024-12-04-um-15.28.45-2048x988.png 2048w\" sizes=\"auto, (max-width: 2300px) 100vw, 2300px\" \/><figcaption class=\"wp-element-caption\"><em><strong>Fig. 2 <\/strong>Fatigue-induced kinematic adaptations in the gait pattern of four analog astronauts during A24<br>EVAs.<strong> a) <\/strong>Average increase in lateral trunk sway and<strong> b) <\/strong>center of mass jerk (Log Dimensionless Jerk)<br>before EVA compared to after. Black line represents group mean and gray lines the individual<br>adaptations. Blue and orange graph show exemplary astronauts over an averaged gait cycle.<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"has-background wp-block-paragraph\" style=\"background-color:#efefef\"><strong>Source: <\/strong>Benjamin Reimeir<sup>126<\/sup>, Sara Maach<sup>1<\/sup>, Amelie Leininger<sup>3<\/sup>, Selina Schindler<sup>4<\/sup>, Anna Wargel<sup>1<\/sup>, Franziska Riedl<sup>1<\/sup>, Tassilo Berghamer<sup>1<\/sup>, Robert Weidner<sup>14<\/sup>, Gernot Gr\u00f6mer<sup>4<\/sup>, Peter Federolf<sup>2<\/sup>, <strong>&#8220;Farside: Simulation System for Fatigue, Recovery And Physical Stress In Demanding Environments&#8221;, <\/strong>AMADEE-24 Science Workshop Booklet 2024<br><br><em><sup>1<\/sup> Institute for Mechatronics, University of Innsbruck, Austria<\/em> <br><em><sup>2<\/sup> Department of Sport Science, University of Innsbruck, Austria<\/em> <br><em><sup>3<\/sup> LMU Munich, Germany<\/em> <br><em><sup>4<\/sup> Freie Universit\u00e4t Berlin, Germany<\/em> <br><em><sup>5<\/sup> Laboratory of Manufacturing Technology, Helmut-Schmidt-University, Germany<\/em> <br><em><sup>6<\/sup> Austrian Space Forum, Innsbruck, Austria<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Crewed missions to Moon and Mars are foreseen for the coming decades, posing new challenges for human movement science, particularly regarding space suit design, mobility, and motor control in different gravitational environments (Belobrajdic et al., 2021). The risk for operational [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":24514,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[1741,3],"tags":[1815,1814,1820,1212,1818],"class_list":["post-24506","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-amadee-24","category-oewf-news","tag-amadee-24-science-workshop","tag-experiment-en","tag-farside-haus-der-natur","tag-salzburg-en-2","tag-vega-observatory"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AMADEE-24 Science Series: Simulation System for Stress Management in Extreme Environments - Austrian Space Forum (OeWF)<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/oewf.org\/en\/2024\/12\/amadee-24-science-series-simulation-system-for-stress-management-in-extreme-environments\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AMADEE-24 Science Series: Simulation System for Stress Management in Extreme Environments - Austrian Space Forum (OeWF)\" \/>\n<meta property=\"og:description\" content=\"Crewed missions to Moon and Mars are foreseen for the coming decades, posing new challenges for human movement science, particularly regarding space suit design, mobility, and motor control in different gravitational environments (Belobrajdic et al., 2021). 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