cosinuss° in der Wissenschaft

Unser Ziel ist es, Gesundheitsdienstleistern die Instrumente an die Hand zu geben, die sie benötigen, um ihren Patient:innen die bestmögliche Versorgung zu bieten. Daher entwickeln und validieren wir unsere Sensortechnologie kontinuierlich weiter. Diese Entwicklung zeigt sich in zahlreichen Studien und Projekten mit verschiedenen Anwendungsszenarien. Es wurden sowohl interne Studien, externe Kooperationen mit renommierten Universitäten, Kliniken und anderen Unternehmen als auch komplett von uns unabhängige Studien mit unserer Sensortechnologie durchgeführt. Die nachfolgende ausgewählte Sammlung gibt einen Einblick in die Ergebnisse und Erkenntnisse aus den bisherigen Forschungsaktivitäten.

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[2] Incinur Zellhuber et al. “Transforming in-clinic post-operative and intermediate care with cosinuss°”. In: Computational and Structural Biotechnology Journal 24 (2024), pp. 630–638.

[3] Julian Decker et al. “Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning”. In: Sensors (Basel, Switzerland) 24.19 (2024), p. 6442.

[4] Catherina AB Bubb et al. “Wearable in-ear pulse oximetry validly measures oxygen saturation between 70% and 100%: A prospective agreement study”. In: Digital Health 9 (2023), p. 20552076231211169.

[5] Heike Jansen et al. “Telemedizinische Uberwachung ambulanter onkologischer Patientinnen”. In: Die Gyn¨akologie (2023), pp. 1–5.

[6] David Benjamin Ellebrecht, Damian Gola, and Mark Kaschwich. “Evaluation of a Wearable in-Ear Sensor for Temperature and Heart Rate Monitoring: A Pilot Study”. In: Journal of Medical Systems 46.12 (2022), pp. 1–10.

[7] Alexander M¨uller et al. “Integration of mobile sensors in a telemedicine hospital system: remote-monitoring in COVID-19 patients”. In: Journal of Public Health 30.1 (2022), pp. 93–97.

[8] Tim Adams et al. “Accurate detection of heart rate using in-ear photoplethysmography in a clinical setting”. In: Frontiers in digital health 4 (2022).

[9] Safaa N Saud Al-Humairi and Asif Iqbal Hajamydeen. “IoT-Based Healthcare Monitoring Practices during Covid-19: Prospects and Approaches”. In: Healthcare Systems and Health Informatics. CRC Press, 2022, pp. 163–185.

[10] Melanie Baldinger et al. “TELECOVID: remote vital signs monitoring of COVID-19 risk patients in home isolation with an in-ear wearable”. In: IEEE Pervasive Computing 20.2 (2021), pp. 58–62.

[11] David Wurzer et al. “Remote monitoring of COVID-19 positive highrisk patients in domestic isolation: A feasibility study”. In: PLoS One 16.9 (2021), e0257095.

[12] Jasmin Henze et al. “Multimodal Detection of Tonic–Clonic Seizures Based on 3D Acceleration and Heart Rate Data from an In-Ear Sensor”. In: International Conference on Pattern Recognition. Springer. 2021, pp. 490–502.

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[14] Kathleen G Fan et al. “Remote patient monitoring technologies for predicting chronic obstructive pulmonary disease exacerbations: review and comparison”. In: JMIR mHealth and uHealth 8.5 (2020), e16147.

[15] Salima Houta, Pinar Bisgin, and Pascal Dulich. “Machine learning methods for detection of Epileptic seizures with long-term wearable devices”. In: Eleventh International Conference on eHealth, Telemedicine, and Social Medicine. 2019.

[16] Denise Junger et al. “Open wearables mobile platform to support personalized medicine”. In: EMBC Workshop Telemedicine and Telemonitoring in AAL Home Environments: 41st Engineering in Medicine and Biology (EMB) Conference: July 23, 2019 Berlin, Germany: proceedings of EMBC Workshop” Telemedicine and Telemonitoring in AAL Home Environments”. Hochschule Reutlingen. 2019, pp. 7–10.

[17] Markus Lindlar, J Klennert, and S Plath. “Pilot Safety–Support by biomedical Monitoring in Pilot with Health Risks”. In: 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024. 2024.

[18] Seungwon Seo, Yujin Choi, and Choongwan Koo. “Forecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning”. In: Engineering Applications of Artificial Intelligence 133 (2024), p. 108507.

[19] Razan Wibowo et al. “Effects of heat and personal protective equipment on thermal strain in healthcare workers: part B—application of wearable sensors to observe heat strain among healthcare workers under controlled conditions”. In: International Archives of Occupational and Environmental Health (2023), pp. 1–9.

[20] Alireza Saidi and Chantal Gauvin. “Towards real-time thermal stress prediction systems for workers”. In: Journal of Thermal Biology 113 (2023), p. 103405.

[21] Lukas Boborzi et al. “Human activity recognition in a free-living environment using an ear-worn motion sensor”. In: Sensors 24.9 (2024), p. 2665.

[22] Eleanor L Hearn et al. “Measuring arterial oxygen saturation using wearable devices under varying conditions”. In: Aerospace Medicine and Human Performance 94.1 (2023), pp. 42–47.

[23] Giovanni Polsinelli, Angelo Rodio, and Bruno Federico. “Estimation of cardiovascular drift through ear temperature during prolonged steadystate cycling: a study protocol”. In: BMJ Open Sport & Exercise Medicine 7.1 (2021), e000907.

[24] Clara Piris Burgos et al. “In-ear accelerometer-based sensor for gait classification”. In: IEEE Sensors Journal 20.21 (2020), pp. 12895–
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[25] Boudewijn Venema and Steffen Leonhardt. “In-ear pulse oximetry in high altitude mountaineering”. In: 2017 13th IASTED International Conference on Biomedical Engineering (BioMed). IEEE. 2017, pp. 254–259.

[26] Simone Tassani et al. “Breathing, postural stability, and psychological health: a study to explore triangular links”. In: Frontiers in Bioengineering and Biotechnology 12 (2024), p. 1347939.

[27] R Stroop, Ch Schoene, and Th Grau. “Efficacy of an infrared radiator for hypothermia prevention in a simulated setup of entrapped vehicle accident victims”. In: Injury 52.9 (2021), pp. 2491–2501.

[28] Tobias R¨oddiger, Christian Dinse, and Michael Beigl. “Wearability and Comfort of Earables During Sleep”. In: 2021 International Symposium on Wearable Computers. 2021, pp. 150–152.

[29] Likun Fang et al. “EarRecorder: A Multi-Device Earable Data Collection Toolkit”. In: Augmented Humans Conference 2021. 2021, pp. 286–288.

[30] Andrea Ferlini et al. “In-ear ppg for vital signs”. In: IEEE Pervasive Computing 21.1 (2021), pp. 65–74.

[31] Stefanie Passler, Niklas M¨uller, and Veit Senner. “In-ear pulse rate measurement: a valid alternative to heart rate derived from electrocardiography?” In: Sensors 19.17 (2019), p. 3641.

Stand: 18. November 2024