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Prof. Dr.-Ing. Thomas Spittler

Faculty of European Campus Rottal-Inn

Professors

Professor

Study Coordinator Health Informatics

EC 2.05

0991/3615-8859

consulting time

Consultation hour by appointment per mail

Sortierung:
Lecture
  • P. Friedrich
  • Thomas Spittler
  • B. Wolf

COMES®- ein sensorgestütztes Assistenzsystem für die telematische Prävention und Studiendurchführung.

In: Hypertoniekongress

Lübeck

  • 19.-21.11.2009 (2009)
Lecture
  • P. Friedrich
  • Thomas Spittler
  • B. Wolf

COMES® - ein telemedizinisches Assistenzsystem für die individualisierte und personalisierte Diagnose und Therapie.

In: 6. Jahrestagung des Vereins "Arbeitskreis Mikrosysteme für Biotechnologie und Lifesciences e.V.", St. Augustin

  • 2010 (2010)
Contribution
  • P. Friedrich
  • Thomas Spittler
  • J. Clauss
  • A. Scholz
  • D.A Hofsøy
  • S. Becker
  • W. Tiedge
  • S. Tübinger
  • B. Wolf

Mobile Healthcare – Auf Anruf Arzt (a3).

In: Ambient assisted living 2010. 3. Deutscher AAL-Kongress mit Ausstellung Assistenzsysteme im Dienste des Menschen - Zuhause und Unterwegs (26. - 27. Januar 2010 in Berlin); Tagungsbandbeiträge

VDE-Verl Berlin [u.a.]

  • (2010)
Contribution
  • P. Friedrich
  • Thomas Spittler
  • S. Tübinger
  • W. Tiedge
  • B. Wolf

COMES® - ein Konzept zur personalisierten telemedizinischen Assistenz - oder - auf Anruf Arzt.

In: E-Health 2011. Informationstechnologien und Telematik im Gesundheitswesen pg. 254-260

  • Eds.:
  • F. Duesberg

Medical future Verl. Solingen

  • (2010)
Journal article
  • B. Wolf
  • H. Grothe
  • M. Brischwein
  • J. Clauss
  • A. Scholz
  • M. Schmidhuber
  • S. Becker
  • R. Kleinhans
  • J. Wiest
  • Thomas Spittler
  • P. Friedrich

Vom Sensorarray zu intelligenten Zherapiesystemen.

In: Medizintechnik in Bayern pg. 24-31

  • (2010)
Contribution
  • P. Friedrich
  • Thomas Spittler
  • J. Clauss
  • A. Scholz
  • D.A Hofsøy
  • W. Tiedge
  • S. Tübinger
  • B. Wolf

COMES® - ein komfortables kognitives Assistenzsystem für die Prävention und Rehabilitation.

In: BMT 2010 – 44. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik (DGBMT) [05.-08.10.2010; Rostock-Warnemünde]. (Proceedings)

VDE Verlag GmbH

  • (2010)
Contribution
  • B. Wolf
  • B. Martin
  • G. Helmut
  • P. Friedrich
  • M. Schmidhuber
  • D. Grundl
  • Thomas Spittler
  • E. Cabala
  • S. Becker
  • B. Gleich
  • J. Clauss
  • A. Scholz
  • J. Wiest
  • B. Becker
  • P. Wolf

Komponenten und Systeme für die personalisierte Assistenz.

In: Personalisierte Medizin. pg. 215-234

  • Eds.:
  • L.H.W. Niederlag

Health Academy

  • (2010)
Contribution
  • P. Friedrich
  • Thomas Spittler
  • S. Tübinger
  • W. Tiedge
  • B. Wolf

Mobile Healthcare - Diabetes Managment mit COMES®.

In: BMT 2010 – 44. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik (DGBMT) [05.-08.10.2010; Rostock-Warnemünde]. (Proceedings)

VDE Verlag GmbH

  • (2010)
Lecture
  • Thomas Spittler
  • P. Friedrich
  • T. Franke
  • S. Tübinger
  • B. Wolf

Convenient and Individual Diabetes Management with COMES®.

In: 7th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pHealth) 2010

Berlin

  • 27.05.2010 (2010)
Contribution
  • Thomas Spittler
  • M. Handwerker
  • P. Friedrich
  • B. Wolf

COMES®- a Telemedical Assistance System for Early Recognition of Depression at Heart Failure..

In: Advances in data mining. Applications and theoretical aspects ; 11th industrial conference ; proceedings (Lecture Notes in Computer Science) pg. 48-53

  • Eds.:
  • Petra Perner

Springer Berlin; Heidelberg

  • (2011)
Contribution
  • P. Friedrich
  • Thomas Spittler
  • B. Wolf

COMES® - a concept for personalized Telemedical Assistance.

In: Proceedings of the 1st IEEE International Conference on Consumer Electronics (ICCE-Berlin 2011) [September 6-8, 2011].

  • (2011)
Journal article
  • Thomas Spittler
  • P. Friedrich
  • B. Wolf

Smartphone-Schnittstellen für telemedizinische Anwendungen.

In: ntz - Fachzeitschrift für Informations- und Kommunikationstechnik pg. 38-41

  • (2011)
Journal article
  • P. Friedrich
  • Thomas Spittler
  • B. Wolf

COMES®: Interactive, Telematic-Therapeutic Assistance.

In: Applied Psychophysiology and Biofeedback vol. 36 pg. 290-291

  • (2011)
Journal article
  • B. Wolf
  • K. Herzog
  • S. Becker
  • M. Brischwein
  • J. Clauss
  • F. Demmel
  • D. Dill
  • A. Scholz
  • J. Wiest
  • H. Grothe
  • M. Gül
  • D.A Hofsøy
  • M. Schmidhuber
  • Thomas Spittler

Elektronik für ein gesundes Leben.

In: Medizintechnik in Bayern pg. 18-27

  • (2011)
Lecture
  • Thomas Spittler
  • M. Handwerker
  • P. Friedrich
  • B. Wolf

COMES®- a Telemedical Assistance System for Early Recognition of Depression at Heart Failure.. Best Poster Award 2011.

In: 11th Industrial Conference on Data Minin (ICDM 2011)

New York, NY, USA

  • September 2011 (2011)
Lecture
  • Thomas Spittler
  • M. Handwerker
  • P. Friedrich
  • B. Wolf

Early Recognition of Depression at Diabetes Mellitus with the Cognitive Medical System COMES®.

In: IADIS International Conference "WWW/INTERNET" 2011

Rio de Janeiro, Brasilien

  • 05.-08.11.2011 (2011)
Lecture
  • P. Friedrich
  • B. Neumann
  • Thomas Spittler
  • B. Wolf

From Smart House to Smart Health.

In: SEEEI Annual Convention

Eliat, Israel

  • 23.-26.11.2011 (2011)
Contribution
  • P. Friedrich
  • Thomas Spittler
  • B. Wolf

COMES® - ein Konzept zur personalisierten telemedizinischen Assistenz.

In: Bioelektronische Diagnose- und Therapiesysteme. Heinz-Nixdorf-Symposium M3: microelectronic meets medicine®(12.-13.10.2010; München) (Berichte aus der medizinischen Elektronik) pg. 81-83

  • Eds.:
  • B. Wolf

Shaker Aachen

  • (2012)
Contribution
  • Thomas Spittler
  • P. Friedrich
  • B. Wolf

COMES® - ein zukunftsweisendes telemedizinisches Assistenzsystem.

In: Bioelektronische Diagnose- und Therapiesysteme. Heinz-Nixdorf-Symposium M3: microelectronic meets medicine®(12.-13.10.2010; München) (Berichte aus der medizinischen Elektronik) pg. 375-380

  • Eds.:
  • B. Wolf

Shaker Aachen

  • (2012)
Contribution
  • Thomas Spittler
  • R. Weiss
  • S. Köhl
  • P. Friedrich
  • B. Wolf

Care of Cardiovascular Disease With COMES®.

In: Proceedings of the 3rd IEEE International Conference on Consumer Electronics (ICCE) [September 8-11, 2013; Berlin]. pg. 58-59

  • (2013)
Contribution
  • Thomas Spittler
  • R. Weiss
  • A. Orban
  • P. Martius
  • P. Friedrich
  • B. Wolf

Telemedizinische Assistenz in der akuten und nachsorgenden Rehabilitation.

In: Tagungsband des 6. Deutschen AAL-Kongresses "Lebensqualität im Wandel von Demografie und Technik". pg. 90-92

VDE Verlag GmbH Berlin

  • (2013)
Contribution
  • B. Wolf
  • Thomas Spittler
  • K. Herzog
  • J. Clauss
  • P. Friedrich
  • A. Scholz

COMES®-Cognitive Medizinische Systeme für Diagnose und Therapie.

In: E-Health 2014. Informations- und Kommunikationstechnologien im Gesundheitswesen pg. 254-262

  • Eds.:
  • F. Duesberg

Medical Future Verlag Solingen

  • (2013)
Contribution
  • P. Friedrich
  • J. Kneitz
  • P. Martius
  • R. Weber
  • Thomas Spittler
  • B. Wolf

Telemedizinische Anwendungsbeobachtung mit COMES® im klinischen und heimischen Umfeld..

In: Tagungsband des 6. Deutschen AAL-Kongresses "Lebensqualität im Wandel von Demografie und Technik". pg. 87-89

VDE Verlag GmbH Berlin

  • (2013)
Lecture
  • Thomas Spittler
  • T. Bachinger
  • M. Kirchmann
  • B. Wolf

Support of Therapy for Cardiovascular Diseases by Telemedical Intervention.

In: IADIS International Conference "WWW/INTERNET" 2013

Fort Worth, Texas, USA

  • 22.10.2013 (2013)
Contribution
  • Thomas Spittler
  • D. Polterauer
  • P. Friedrich
  • B. Wolf

Rehabilitation´s Aftercare by COMES®.

In: Proceedings of the 1st European Congress on e-Cardiology & e-Health, Selected Abstracts (October 29-31, 2014; Bern, Switzerland) .

European Journal of Preventive Medicine (Vol. 21, Issue 2, Suppl.)

  • (2014)

show abstract

Purpose: In Germany the demand of medical rehabilitation increases steadily. Nevertheless, the duration of rehabilitation is limited to three weeks, making an efficient and successful post-rehabilitative aftercare essential. Therefore, a telematic system called COMES® was developed at the Heinz Nixdorf Lehrstuhl der Technischen Universität München. One of the strength of COMES® is the possibility of therapy support, for example when suffering from cardiovascular disease. The physician sets a therapy goal and COMES® supports the patient by motivation feedback reaching that goal. Methods: For evaluating COMES® motivation feedback a field tests was designed and conducted. Therefore, ten study participants from the age of 40 to 66 were equipped with the COMES®-System. While the first week represents the baseline, the second week serves as getting familiarized and the third week shows participants’ activity with motivation messages. For statistical analysis nonparametric statistics, the Wilcoxon-Mann-Whitney test, were used, inter alia due to the small sample size. Results: All the participants significantly increased their physical activity, with a p value of p = 0.008. During baseline week the mean steps per day were about 4,690 with a standard deviation of 1,625 steps per day. After third week the mean daily number of steps increased by 2,240 with a standard deviation of 1,970 steps per day. Conclusion: COMES® enables both physicians and patients to maintain and individually adjust therapy guidelines for hypertonia. Thus, it leads to a consequent accomplishment of the after-care targets and prevents a creeping demotivation. First studies show, that there is a significant increase of participants’ physical activity due to the COMES® motivation messages.
Journal article
  • B. Wolf
  • Thomas Spittler
  • J. Clauss
  • A. Scholz
  • P. Friedrich
  • K. Herzog

Telemedizin - rundum gut betreut. Einsatzgebiete des telemedizinischen Netzwerkes COMES®.

In: 4. Bulletin pg. 33-37

  • (2014)
Contribution
  • Thomas Spittler
  • D. Polterauer
  • J. Clauss
  • P. Friedrich
  • B. Wolf

Monitoring of Therapeutic Progress by COMES®.

In: Ambient assisted living. 8. AAL-Kongress 2015, Frankfurt/M, April 29-30 April, 2015 (Advanced technologies and societal change) pg. 67-74

  • Eds.:
  • H. Klausing
  • R. Wichert

Springer International Publishing Cham

  • (2016)
Lecture
  • Anna Schmaus-Klughammer
  • Thomas Spittler

Telemedizin. Posterpräsentation.

In: 6. Tag der Forschung der THD 2019

Technische Hochschule Deggendorf Deggendorf

  • 10.04.2019 (2019)
Journal article
  • Helana Lutfi
  • S. Glasauer
  • Thomas Spittler

The Healthcare Benefits and Impact of Artificial Intelligence Applications on Behaviour of Healthcare Users: A Structured Review of Primary Literature.

In: Journal of the International Society for Telemedicine and eHealth vol. 8 pg. 1-5

  • (2020)

DOI: 10.29086/JISfTeH.8.e10

show abstract

Introduction: Artificial intelligence (AI) is one of the most considered topics of the current time. AI has the power to bring revolutionary improvements to the world of technology not only in the field of computer science but also in other fields like medical sciences. Objectives: This paper assumes the adoption of appropriate AI engineering principals in previous studies, and focusses on providing a structured review of the impact of AI on human society and the individual human being as a technology user. Additionally, it opens a window on how the future will look like in terms of AI and personalised medicine. Methods: The paper employed a qualitative research approach and data were collected through a structured literature review. Twenty-three peer reviewed papers were identified and analysed in relation to their relevance to the study. Results: Previous studies show a positive impact on users' behaviour is expected in supporting their healthcare needs especially in decision-making, personalised treatment and future diseases prediction, and that integrating users in studying AI impact is essential to test possible implications of the technology. Conclusion: Results indicate that without a clear understanding of why patients need AI, or how AI can support individuals with their healthcare needs, it is difficult to visualise the kinds of AI applications that have a meaningful and sustainable impact the daily lives of individuals. Therefore, there is an emerging need to understand the impact of AI technology on users' behaviour to maximise the potential benefits of AI technology.
Journal article
  • Helana Lutfi
  • Rui Li
  • Thomas Spittler
  • Sascha Kreiskott
  • Katerina Volchek

Increasing Efficiency in Virtual Teaching in an International Context: E-learning and Instructional Approaches at ECRI.

In: Bavarian Journal of Applied Sciences pg. 211-225

  • (2022)

DOI: 10.25929/bjas202291

Contribution
  • Anna-Maria Kasparbauer
  • Veronika Reisner
  • C. Schenk
  • A. Glas
  • Helana Lutfi
  • Oscar Blanco
  • Thomas Spittler

Sensor Devices, the Source of Innovative Therapy and Prevention.

In: The Future Circle of Healthcare: AI, 3D Printing, Longevity, Ethics, and Uncertainty Mitigation. (Future of Business and Finance) pg. 207-226

  • Eds.:
  • P. Plugmann
  • Patrick Glauner
  • F. Thieringer
  • S. Ehsani

Springer International Publishing Cham, Switzerland

  • (2022)
Contribution
  • Thomas Spittler
  • Helana Lutfi

Innovations for Sustainable Healthcare.

In: The Future Circle of Healthcare: AI, 3D Printing, Longevity, Ethics, and Uncertainty Mitigation. (Future of Business and Finance) pg. 343-357

  • Eds.:
  • P. Plugmann
  • Patrick Glauner
  • F. Thieringer
  • S. Ehsani

Springer International Publishing Cham, Switzerland

  • (2022)
Contribution
  • J. Los Cobos-Molina
  • M. Romero-Mas
  • Anna Schmaus-Klughammer
  • Thomas Spittler

Joint approach to interdisciplinary teaching (Part II, Chapter 10).

In: Internationalization and Intercultural Competence in Higher Education: Quality and Innovation. pg. 149-163

  • Eds.:
  • Raluy A.
  • A. Pinyana
  • S. Khan

  • (2022)

show abstract

The internationalization of education policies in higher education is one of the most significant forces affecting universities in the Western world today (Knight, 2015). In a European context, the Bologna Process (European University Association (EUA), 2016) represents the most systematic drive to date for increased international academic cooperation and mobility. However, few students have the chance or resources to engage in mobility opportunities (Wihlborg et al., 2018). In fact, even though overall student numbers has substantially increased recently, the proportion of students studying in another country has remained almost constant at about 2% or only slightly more (Crowther et al., 2017). Besides, in the context of the current pandemic, almost a quarter of students’ mobility periods were cancelled (Gabriels and Benke-Aberg, 2020). Still, universities aim to contribute to society by fostering global citizens, as the development of a global mindset can foster inclusive attitudes (Andresen and Bergdolt, 2016). Consequently, Internationalization at Home (IaH) becomes crucial in the internationalization of higher education. Collaborative learning is an educational approach to teaching and learning that involves groups of learners working together to solve a problem, complete a task or create a product (Brown and Lara, 2011). Collaboration is a promising mode of human engagement that has become a twenty-first-century trend, and online collaboration has come to stay. Specifically, Collaborative Online International Learning (COIL) is an umbrella term used to refer to the different ways in which groups of learners are engaged in online interaction and collaborate with partners from other cultural contexts or geographical locations as an integrated part of course work and under the guidance of educators (Jager et al., 2020; O’Dowd, 2018). In recent years, collaborative online learning and interdisciplinary course programmes have become the key to enhancing internationalization and intercultural competences (Cai and Sankaran, 2015; Deardorff and Arasaratnam-Smith, 2017). Hence, COIL became a notable opportunity to expand the scope and reach of physical exchange programmes, due to its inclusive and scalable character (EACEA and EU, 2020). Intercultural competences and skills development are outcomes of the COIL programmes (Jager et al., 2020). Students as team players with common objectives (Creelman and Löwe, 2019) may reach higher achievement and greater productivity; more caring, supportive and committed relationships; greater psychological health, social competence and self-esteem (Laal and Ghodsi, 2012). Regarding the academic benefits, collaborative learning helps to: promote critical thinking skills; involve students actively in the learning process; improve classroom results; and achieve new problem-solving techniques (Laal and Ghodsi, 2012). The primary uses of COIL mainly remain concentrated in the Arts and Humanities disciplines (Jager et al., 2020). However, other fields like health sciences and engineering have been explored (Wihlborg et al., 2018), and interdisciplinary courses have been successfully implemented (Albá-Duran and Gerdientje, 2019; Rui-Molina and Cuadrado-García, 2008).
Journal article
  • Helana Lutfi
  • Rui Li
  • Thomas Spittler

Proposing a Framework for Virtual Teaching at the European Campus Rottal-Inn (ECRI).

In: Bavarian Journal of Applied Sciences pg. 559-569

  • (2023)

DOI: 10.25929/xx1z-bk71

show abstract

Background: Digital education aims at minimizing interferences to education among challenging times such as during COVID-19, and empowering students to experience new tools and resources while at the same time creating a safe place for educators to have control over the teaching process. Aims: With this study, the project CREATE aimed at examining the experiences of academic students with their first weeks of online teaching post COVID-19. The specific aim was to map their experiences and acquire knowledge in order to make necessary short-term adjustments in the subsequent rounds of online teaching through proposing the structure for online teaching framework. Method: This framework is based on identifying students’ perspectives with a distributed survey towards virtual teaching in the timeframe of pre- and post COVID-19 restrictions situations. Results: The results provide a framework for accessing methods and content in the form of delivery formats needed to be included in the curriculum for specialty development of online teaching. Conclusion: The methodology and results presented in this study may prove useful to educational institutions determined to target professional development curricula for students, with the criteria and skills needed to successfully organize online teaching.
Journal article
  • Helana Lutfi
  • Thomas Spittler

HRpredict: Introducing a Web-Based Application for Heart Rate Prediction and Lifestyle Recommendations.

In: European Journal of Medical and Health Sciences vol. 6 pg. 58-61

  • (2024)

DOI: 10.24018/ejmed.2024.6.1.2009

show abstract

Background: Monitoring heart health requires early detection of deviations in HR, which makes it easier to detect and address heart irregularities at an early stage. Health remote systems when combined with artificial intelligence (AI) can assist in better health outcomes through early detection of heart problems. Aims: Our main goal is to create a website application (Web-App) for web browser access, aiming to utilize a Random Forest (RF) machine learning (ML) model trained to predict the average heart rate (HR) over 10 days for different periods, and to enable lifestyle and activity recommendations. Methods: The Web-App is created using Laravel, an open-source Personal Home Page (PHP) web framework that follows the model-view-controller (MVC) architectural pattern. Results: This research resulted in a web-based ML model that can be used to predict future heart rates over a 10-day period which are utilized to establish average HR values, considering baseline and three distinct periods: morning, noon, and evening across the 10-day duration. Through this Web-App lifestyle, habit, activity, and 10-day reassessment recommendations are also provided. Conclusion: The Web-App was designed to be accessed and used through a web browser, to provide lifestyle recommendations based on predicted HR readings. To determine the impact of users adhering to recommendations, further research is required.
Journal article
  • Helana Lutfi
  • Thomas Spittler
  • Hassan Ibrahim

Using synthetic data and machine learning to predict heart rate and enable lifestyle recommendations.

In: Journal of Medical Artificial Intelligence vol. 7

  • (2024)

DOI: 10.21037/jmai-24-35

show abstract

Background: Heart rate (HR) is an essential indicator for cardiovascular (CV) health and is known to be influenced by unhealthy lifestyle habits like smoking, alcohol and caffeinated drinks consumption. However, to date the potential degree of impact of multiple lifestyle factors on HR is unknown. The main goal in this study is to train a machine learning (ML) model to capture future HR over a 10-day period and subsequent generation of lifestyle recommendations based on predicted HR. Methods: The proposed system consists of generating synthetic data, building HR random forest ML predictive model, and evaluating the performance of the model versus real participants’ data. Results: We applied the system to 25 male participants. The study results validate the system’s ability to demonstrate effectiveness in predicting HR variations in response to lifestyle factors, including smoking, alcohol, and caffeinated drinks during different times of the day. Accurate predictions were observed for baseline HR readings, compared to the poorest performance for the prediction model at noon as reflected in the mean absolute error closer to zero and high R2 score of 0.953, capturing around 95.3% of the variance in the actual data. Conclusions: The study presents the foundation for further studies to investigate the applicability of other ML techniques for predicting HR using synthetic data generation. Additionally, the model can be further explored to improve its accuracy by including additional behavioural factors that influence the HR variability.
Journal article
  • L. Gerold
  • Helana Lutfi
  • Thomas Spittler

User’s Perceived Attitudes and Acceptance Towards Wearable Devices in Healthcare.

In: European Journal of Medical and Health Sciences (EJMED) vol. 6 pg. 10-16

  • (2024)

DOI: 10.24018/ejmed.2024.6.1.1990

show abstract

With the coronavirus (COVID-19) pandemic uncovering several structural problems within the German healthcare system, especially within the inpatient sector, rapid improvements were needed to strengthen the preventive industry of the healthcare system. To adequately cover prevention as well as aftercare needs, some telemedical solutions, such as wearables can strongly contribute to the preventive sector. Therefore, this research aims to understand users’ perceived attitudes and acceptance towards wearable devices in healthcare. Following the Technology Acceptance Model, the essential factors that influence user acceptance were assessed using an online survey involving 154 participants, students of the Deggendorf Institute of Technology. The results of this survey indicate that among the students’ technology acceptance is generally high, participants had a favourable attitude towards digital health technologies, a high perception of usefulness, and a heightened perception of ease of use. Only a minor of the participants have stated that they have certain concerns, mainly regarding data protection. This study however gives very little insight into what elderly people, people in the active workforce, or those suffering from chronic illness think of wearables and digital health as a whole. So further research including this demographic of people is suggested.

projects

med4PAN, ERASMUS+ e-MeBe

labs

Digital Health and Smart Tourism Laboratory

core competencies

  • Digitalization in Healthcare
  • Digital Health
  • Data Analytics and Applied Artificial Intelligence
  • Health Services Research
  • Science Communication
  • Digital Health Literacy
  • Prevention for Migrants