{"id":29138,"date":"2023-11-16T19:57:46","date_gmt":"2023-11-16T18:57:46","guid":{"rendered":"https:\/\/www.cosinuss.com\/?page_id=29138"},"modified":"2025-07-18T12:11:58","modified_gmt":"2025-07-18T10:11:58","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.cosinuss.com\/en\/references\/publications\/","title":{"rendered":"cosinuss\u00b0 in Research"},"content":{"rendered":"

cosinuss\u00b0 in Research<\/h1><\/div>

Selected publications<\/h2><\/div>

Our goal is to give healthcare providers the tools they need to deliver the best possible care to their patients. Thus, we are continuously developing and evaluating our sensor technology. This evolution is demonstrated in numerous studies and projects and in various use case scenarios. Our efforts range from internal studies through external collaborations with renowned universities, clinics and other companies to completely independently conducted studies that buy and use the cosinuss\u00b0 technology for their purposes. This selected collection provides an insight into the results and findings from these diverse research activities.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

Medical<\/h3><\/div>

[1] Jonas Langenhorst et al. \u201cAgreement of in-ear temperature to core body temperature measures during invasive whole-body cooling for hypothermic circulatory arrest in aortic arch surgery\u201d. In: Scientific Reports 14.1 (2024), p. 27607. \u00a0<\/span>https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC11554646\/<\/span><\/a>\u00a0<\/span><\/p>\n

[2] Incinur Zellhuber et al. \u201cTransforming in-clinic post-operative and intermediate care with cosinuss\u00b0\u201d. In: Computational and Structural Biotechnology Journal 24 (2024), pp. 630\u2013638. <\/span>https:\/\/www.csbj.org\/article\/S2001-0370(24)00322-2\/fulltext<\/span>\u00a0<\/span><\/a><\/p>\n

[3] Julian Decker et al. \u201cMobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning\u201d. In: Sensors (Basel, Switzerland) 24.19 (2024), p. 6442. <\/span>https:\/\/www.mdpi.com\/1424-8220\/24\/19\/6442<\/span><\/a>\u00a0<\/span><\/p>\n

[4] Catherina AB Bubb et al. \u201cWearable in-ear pulse oximetry validly measures oxygen saturation between 70% and 100%: A prospective agreement study\u201d. In: Digital Health 9 (2023), p. 20552076231211169. <\/span>https:\/\/journals.sagepub.com\/doi\/10.1177\/20552076231211169<\/span><\/a>\u00a0<\/span><\/p>\n

[5] Heike Jansen et al. \u201cTelemedizinische Uberwachung ambulanter onkologischer Patientinnen\u201d. In: Die Gyn\u00e4kologie (2023), pp. 1\u20135 <\/span>https:\/\/link.springer.com\/article\/10.1007\/s00129-023-05189-4<\/span><\/a><\/p>\n

[6] David Benjamin Ellebrecht, Damian Gola, and Mark Kaschwich. \u201cEvaluation of a Wearable in-Ear Sensor for Temperature and Heart Rate Monitoring: A Pilot Study\u201d. In: Journal of Medical Systems 46.12 (2022), pp. 1\u201310. <\/span>https:\/\/link.springer.com\/article\/10.1007\/s10916-022-01872-6<\/span><\/a>\u00a0<\/span><\/p>\n

[7] Alexander M\u00fcller et al. \u201cIntegration of mobile sensors in a telemedicine hospital system: remote-monitoring in COVID-19 patients\u201d. In: Journal of Public Health 30.1 (2022), pp. 93\u201397. <\/span>https:\/\/www.springermedicine.com\/covid-19\/telemedicine\/integration-of-mobile-sensors-in-a-telemedicine-hospital-system-\/21483320<\/span><\/a>\u00a0<\/span><\/p>\n

[8] Tim Adams et al. \u201cAccurate detection of heart rate using in-ear photoplethysmography in a clinical setting\u201d. In: Frontiers in digital health 4 (2022). <\/span>https:\/\/www.researchgate.net\/publication\/362734721_Accurate_detection_of_heart_rate_using_in-ear_photoplethysmography_in_a_clinical_setting<\/span><\/a>\u00a0<\/span><\/p>\n

[9] Safaa N Saud Al-Humairi and Asif Iqbal Hajamydeen. \u201cIoT-Based Healthcare Monitoring Practices during Covid-19: Prospects and Approaches\u201d. In: Healthcare Systems and Health Informatics. CRC Press, 2022, pp. 163\u2013185.<\/span><\/p>\n

[10] Melanie Baldinger et al. \u201cTELECOVID: remote vital signs monitoring of COVID-19 risk patients in home isolation with an in-ear wearable\u201d. In: IEEE Pervasive Computing 20.2 (2021), pp. 58\u201362. <\/span>https:\/\/portal.fis.tum.de\/en\/publications\/telecovid-remote-vital-signs-monitoring-of-covid-19-risk-patients<\/span><\/a>\u00a0<\/span><\/p>\n

[11] David Wurzer et al. \u201cRemote monitoring of COVID-19 positive highrisk patients in domestic isolation: A feasibility study\u201d. In: PLoS One 16.9 (2021), e0257095. <\/span>https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0257095<\/span><\/a>\u00a0<\/span><\/p>\n

[12] Jasmin Henze et al. \u201cMultimodal Detection of Tonic\u2013Clonic Seizures Based on 3D Acceleration and Heart Rate Data from an In-Ear Sensor\u201d. In: International Conference on Pattern Recognition. Springer. 2021, pp. 490\u2013502. <\/span>https:\/\/dl.acm.org\/doi\/10.1007\/978-3-030-68763-2_37<\/span><\/a><\/p>\n

\u00a0<\/span>[13] Philip Storz et al. \u201cbwhealthapp: A software system to support personalized medicine by individual monitoring of vital parameters of outpatients\u201d. In: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021)-Volume 5: HEALTHINF. Science and Technology Publications. 2021, pp. 613\u2013620.<\/span><\/p>\n

[14] Kathleen G Fan et al. \u201cRemote patient monitoring technologies for predicting chronic obstructive pulmonary disease exacerbations: review and comparison\u201d. In: JMIR mHealth and uHealth 8.5 (2020), e16147. <\/span>https:\/\/mhealth.jmir.org\/2020\/5\/e16147\/<\/span><\/a>\u00a0<\/span><\/p>\n

[15] Salima Houta, Pinar Bisgin, and Pascal Dulich. \u201cMachine learning methods for detection of Epileptic seizures with long-term wearable devices\u201d. In: Eleventh International Conference on eHealth, Telemedicine, and Social Medicine. 2019. <\/span>https:\/\/www.researchgate.net\/publication\/335790269_Machine_Learning_Methods_for_Detection_of_Epileptic_Seizures_with_Long-Term_Wearable_Devices<\/span><\/a>\u00a0<\/span><\/p>\n

[16] Denise Junger et al. \u201cOpen wearables mobile platform to support personalized medicine\u201d. 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\u201d Telemedicine and Telemonitoring in AAL Home Environments\u201d. Hochschule Reutlingen. 2019, pp. 7\u201310.<\/span><\/p>\n<\/div>

Work Safety<\/h3><\/div>

[17] Markus Lindlar, J Klennert, and S Plath. \u201cPilot Safety\u2013Support by biomedical Monitoring in Pilot with Health Risks\u201d. In: 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024. 2024. <\/span>https:\/\/elib.dlr.de\/204915\/<\/span><\/a>\u00a0<\/span><\/p>\n

[18] Seungwon Seo, Yujin Choi, and Choongwan Koo. \u201cForecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning\u201d. In: Engineering Applications of Artificial Intelligence 133 (2024), p. 108507. <\/span>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0952197624006651?dgcid=rss_sd_all&<\/span><\/a>\u00a0<\/span><\/p>\n

[19] Razan Wibowo et al. \u201cEffects of heat and personal protective equipment on thermal strain in healthcare workers: part B\u2014application of wearable sensors to observe heat strain among healthcare workers under controlled conditions\u201d. In: International Archives of Occupational and Environmental Health (2023), pp. 1\u20139. <\/span>https:\/\/www.researchgate.net\/publication\/375556001_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_condit<\/span><\/a>\u00a0<\/span><\/p>\n

[20] Alireza Saidi and Chantal Gauvin. \u201cTowards real-time thermal stress prediction systems for workers\u201d. In: Journal of Thermal Biology 113 (2023), p. 103405. <\/span>https:\/\/www.researchgate.net\/publication\/365895847_Towards_real-time_thermal_stress_prediction_systems_for_workers<\/span><\/a>\u00a0<\/span><\/p>\n<\/div>

Performance<\/h3><\/div>

[21] Lukas Boborzi et al. \u201cHuman activity recognition in a free-living environment using an ear-worn motion sensor\u201d. In: Sensors 24.9 (2024), p. 2665. <\/span>https:\/\/www.mdpi.com\/1424-8220\/24\/9\/2665<\/span><\/a>\u00a0<\/span><\/p>\n

[22] Eleanor L Hearn et al. \u201cMeasuring arterial oxygen saturation using wearable devices under varying conditions\u201d. In: Aerospace Medicine and Human Performance 94.1 (2023), pp. 42\u201347. <\/span>https:\/\/www.scopus.com\/pages\/publications\/85147834346<\/span><\/a>\u00a0<\/span><\/p>\n

[23] Giovanni Polsinelli, Angelo Rodio, and Bruno Federico. \u201cEstimation of cardiovascular drift through ear temperature during prolonged steadystate cycling: a study protocol\u201d. In: BMJ Open Sport & Exercise Medicine 7.1 (2021), e000907. <\/span>https:\/\/bmjopensem.bmj.com\/content\/7\/1\/e000907<\/span><\/a>\u00a0<\/span><\/p>\n

[24] Clara Piris Burgos et al. \u201cIn-ear accelerometer-based sensor for gait classification\u201d. In: IEEE Sensors Journal 20.21 (2020), pp. 12895\u2013<\/span>
\n<\/span>12902. <\/span>https:\/\/www.researchgate.net\/publication\/342185102_In-Ear_Accelerometer-Based_Sensor_for_Gait_Classification<\/span><\/a><\/p>\n

[25] Boudewijn Venema and Steffen Leonhardt. \u201cIn-ear pulse oximetry in high altitude mountaineering\u201d. In: 2017 13th IASTED International Conference on Biomedical Engineering (BioMed). IEEE. 2017, pp. 254\u2013259.<\/span><\/p>\n<\/div>

Other<\/h3><\/div>

[26] Simone Tassani et al. \u201cBreathing, postural stability, and psychological health: a study to explore triangular links\u201d. In: Frontiers in Bioengineering and Biotechnology 12 (2024), p. 1347939. <\/span>https:\/\/www.frontiersin.org\/journals\/bioengineering-and-biotechnology\/articles\/10.3389\/fbioe.2024.1347939\/full<\/span><\/a>\u00a0<\/span><\/p>\n

[27] R Stroop, Ch Schoene, and Th Grau. \u201cEfficacy of an infrared radiator for hypothermia prevention in a simulated setup of entrapped vehicle accident victims\u201d. In: Injury 52.9 (2021), pp. 2491\u20132501. <\/span>https:\/\/www.injuryjournal.com\/article\/S0020-1383(21)00501-5\/abstract<\/span><\/a>\u00a0<\/span><\/p>\n

[28] Tobias R\u00a8oddiger, Christian Dinse, and Michael Beigl. \u201cWearability and Comfort of Earables During Sleep\u201d. In: 2021 International Symposium on Wearable Computers. 2021, pp. 150\u2013152. <\/span>https:\/\/www.researchgate.net\/publication\/354731006_Wearability_and_Comfort_of_Earables_During_Sleep<\/span><\/a>\u00a0<\/span><\/p>\n

[29] Likun Fang et al. \u201cEarRecorder: A Multi-Device Earable Data Collection Toolkit\u201d. In: Augmented Humans Conference 2021. 2021, pp. 286\u2013288. <\/span>https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3458709.3459005<\/span><\/a>\u00a0<\/span><\/p>\n

[30] Andrea Ferlini et al. \u201cIn-ear ppg for vital signs\u201d. In: IEEE Pervasive Computing 21.1 (2021), pp. 65\u201374.<\/span><\/p>\n

[31] Stefanie Passler, Niklas M\u00fcller, and Veit Senner. \u201cIn-ear pulse rate measurement: a valid alternative to heart rate derived from electrocardiography?\u201d In: Sensors 19.17 (2019), p. 3641. <\/span>https:\/\/www.mdpi.com\/1424-8220\/19\/17\/3641<\/span><\/a>\u00a0<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Status: November 18, 2024
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