--- _id: '45824' abstract: - lang: eng text: As cognitive function is critical for muscle coordination, cognitive training may also improve neuromuscular control strategy and knee function following an anterior cruciate ligament reconstruction (ACLR). The purpose of this case-control study was to examine the effects of cognitive training on joint stiffness regulation in response to negative visual stimuli and knee function following ACLR. A total of 20 ACLR patients and 20 healthy controls received four weeks of online cognitive training. Executive function, joint stiffness in response to emotionally evocative visual stimuli (neutral, fearful, knee injury related), and knee function outcomes before and after the intervention were compared. Both groups improved executive function following the intervention (p = 0.005). The ACLR group had greater mid-range stiffness in response to fearful (p = 0.024) and injury-related pictures (p = 0.017) than neutral contents before the intervention, while no post-intervention stiffness differences were observed among picture types. The ACLR group showed better single-legged hop for distance after cognitive training (p = 0.047), while the healthy group demonstrated no improvement. Cognitive training enhanced executive function, which may reduce joint stiffness dysregulation in response to emotionally arousing images and improve knee function in ACLR patients, presumably by facilitating neural processing necessary for neuromuscular control. article_number: '1875' author: - first_name: Yong Woo full_name: An, Yong Woo last_name: An - first_name: Kyung-Min full_name: Kim, Kyung-Min last_name: Kim - first_name: Andrea full_name: DiTrani Lobacz, Andrea last_name: DiTrani Lobacz - first_name: Jochen full_name: Baumeister, Jochen id: '46' last_name: Baumeister orcid: 0000-0003-2683-5826 - first_name: Jill S. full_name: Higginson, Jill S. last_name: Higginson - first_name: Jeffrey full_name: Rosen, Jeffrey last_name: Rosen - first_name: Charles Buz full_name: Swanik, Charles Buz last_name: Swanik citation: ama: An YW, Kim K-M, DiTrani Lobacz A, et al. Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls. Healthcare. 2023;11(13). doi:10.3390/healthcare11131875 apa: An, Y. W., Kim, K.-M., DiTrani Lobacz, A., Baumeister, J., Higginson, J. S., Rosen, J., & Swanik, C. B. (2023). Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls. Healthcare, 11(13), Article 1875. https://doi.org/10.3390/healthcare11131875 bibtex: '@article{An_Kim_DiTrani Lobacz_Baumeister_Higginson_Rosen_Swanik_2023, title={Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls}, volume={11}, DOI={10.3390/healthcare11131875}, number={131875}, journal={Healthcare}, publisher={MDPI AG}, author={An, Yong Woo and Kim, Kyung-Min and DiTrani Lobacz, Andrea and Baumeister, Jochen and Higginson, Jill S. and Rosen, Jeffrey and Swanik, Charles Buz}, year={2023} }' chicago: An, Yong Woo, Kyung-Min Kim, Andrea DiTrani Lobacz, Jochen Baumeister, Jill S. Higginson, Jeffrey Rosen, and Charles Buz Swanik. “Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls.” Healthcare 11, no. 13 (2023). https://doi.org/10.3390/healthcare11131875. ieee: 'Y. W. An et al., “Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls,” Healthcare, vol. 11, no. 13, Art. no. 1875, 2023, doi: 10.3390/healthcare11131875.' mla: An, Yong Woo, et al. “Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls.” Healthcare, vol. 11, no. 13, 1875, MDPI AG, 2023, doi:10.3390/healthcare11131875. short: Y.W. An, K.-M. Kim, A. DiTrani Lobacz, J. Baumeister, J.S. Higginson, J. Rosen, C.B. Swanik, Healthcare 11 (2023). date_created: 2023-06-30T13:47:33Z date_updated: 2025-03-11T10:31:53Z department: - _id: '172' doi: 10.3390/healthcare11131875 intvolume: ' 11' issue: '13' keyword: - Health Information Management - Health Informatics - Health Policy - Leadership and Management language: - iso: eng publication: Healthcare publication_identifier: issn: - 2227-9032 publication_status: published publisher: MDPI AG status: public title: Cognitive Training Improves Joint Stiffness Regulation and Function in ACLR Patients Compared to Healthy Controls type: journal_article user_id: '46' volume: 11 year: '2023' ... --- _id: '30906' abstract: - lang: eng text: "Abstract\r\n Background\r\n \ Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.\r\n \r\n Methods\r\n \ In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback.\r\n \ \r\n Results\r\n \ The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7).\r\n \r\n \ Conclusion\r\n The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development.\r\n " article_number: '25' author: - first_name: Alexander full_name: Boschmann, Alexander last_name: Boschmann - first_name: Dorothee full_name: Neuhaus, Dorothee last_name: Neuhaus - first_name: Sarah full_name: Vogt, Sarah last_name: Vogt - first_name: Christian full_name: Kaltschmidt, Christian last_name: Kaltschmidt - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner - first_name: Strahinja full_name: Dosen, Strahinja last_name: Dosen citation: ama: Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation. 2021;18(1). doi:10.1186/s12984-021-00822-6 apa: Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., & Dosen, S. (2021). Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 25. https://doi.org/10.1186/s12984-021-00822-6 bibtex: '@article{Boschmann_Neuhaus_Vogt_Kaltschmidt_Platzner_Dosen_2021, title={Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}, volume={18}, DOI={10.1186/s12984-021-00822-6}, number={125}, journal={Journal of NeuroEngineering and Rehabilitation}, publisher={Springer Science and Business Media LLC}, author={Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}, year={2021} }' chicago: Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” Journal of NeuroEngineering and Rehabilitation 18, no. 1 (2021). https://doi.org/10.1186/s12984-021-00822-6. ieee: 'A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.' mla: Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, 25, Springer Science and Business Media LLC, 2021, doi:10.1186/s12984-021-00822-6. short: A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021). date_created: 2022-04-18T10:02:20Z date_updated: 2022-04-18T10:04:16Z department: - _id: '78' doi: 10.1186/s12984-021-00822-6 intvolume: ' 18' issue: '1' keyword: - Health Informatics - Rehabilitation language: - iso: eng publication: Journal of NeuroEngineering and Rehabilitation publication_identifier: issn: - 1743-0003 publication_status: published publisher: Springer Science and Business Media LLC status: public title: Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis type: journal_article user_id: '398' volume: 18 year: '2021' ... --- _id: '37154' abstract: - lang: eng text: ' The application of artificial intelligence (AI) not only yields in advantages for healthcare but raises several ethical questions. Extant research on ethical considerations of AI in digital health is quite sparse and a holistic overview is lacking. A systematic literature review searching across 853 peer-reviewed journals and conferences yielded in 50 relevant articles categorized in five major ethical principles: beneficence, non-maleficence, autonomy, justice, and explicability. The ethical landscape of AI in digital health is portrayed including a snapshot guiding future development. The status quo highlights potential areas with little empirical but required research. Less explored areas with remaining ethical questions are validated and guide scholars’ efforts by outlining an overview of addressed ethical principles and intensity of studies including correlations. Practitioners understand novel questions AI raises eventually leading to properly regulated implementations and further comprehend that society is on its way from supporting technologies to autonomous decision-making systems. ' article_number: '146045822110523' author: - first_name: Nicholas RJ full_name: Möllmann, Nicholas RJ last_name: Möllmann - first_name: Milad full_name: Mirbabaie, Milad id: '88691' last_name: Mirbabaie - first_name: Stefan full_name: Stieglitz, Stefan last_name: Stieglitz citation: ama: Möllmann NR, Mirbabaie M, Stieglitz S. Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations. Health Informatics Journal. 2021;27(4). doi:10.1177/14604582211052391 apa: Möllmann, N. R., Mirbabaie, M., & Stieglitz, S. (2021). Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations. Health Informatics Journal, 27(4), Article 146045822110523. https://doi.org/10.1177/14604582211052391 bibtex: '@article{Möllmann_Mirbabaie_Stieglitz_2021, title={Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations}, volume={27}, DOI={10.1177/14604582211052391}, number={4146045822110523}, journal={Health Informatics Journal}, publisher={SAGE Publications}, author={Möllmann, Nicholas RJ and Mirbabaie, Milad and Stieglitz, Stefan}, year={2021} }' chicago: Möllmann, Nicholas RJ, Milad Mirbabaie, and Stefan Stieglitz. “Is It Alright to Use Artificial Intelligence in Digital Health? A Systematic Literature Review on Ethical Considerations.” Health Informatics Journal 27, no. 4 (2021). https://doi.org/10.1177/14604582211052391. ieee: 'N. R. Möllmann, M. Mirbabaie, and S. Stieglitz, “Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations,” Health Informatics Journal, vol. 27, no. 4, Art. no. 146045822110523, 2021, doi: 10.1177/14604582211052391.' mla: Möllmann, Nicholas RJ, et al. “Is It Alright to Use Artificial Intelligence in Digital Health? A Systematic Literature Review on Ethical Considerations.” Health Informatics Journal, vol. 27, no. 4, 146045822110523, SAGE Publications, 2021, doi:10.1177/14604582211052391. short: N.R. Möllmann, M. Mirbabaie, S. Stieglitz, Health Informatics Journal 27 (2021). date_created: 2023-01-17T15:34:53Z date_updated: 2023-01-18T07:58:55Z doi: 10.1177/14604582211052391 intvolume: ' 27' issue: '4' keyword: - Health Informatics language: - iso: eng publication: Health Informatics Journal publication_identifier: issn: - 1460-4582 - 1741-2811 publication_status: published publisher: SAGE Publications status: public title: Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations type: journal_article user_id: '80546' volume: 27 year: '2021' ...