Call for CSC Applications for Doctoral Program at Philips-TU/e
荷兰飞利浦-埃因霍温理工大学CSC博士项目招聘
1. Project topics
In 2018-2019, Philips Research, Eindhoven University of Technology (TU/e), and Kempenhaeghe Center for Sleep Medicine (KH) jointly set up a couple of doctoral research projects for the Chinese applicants who have the intention to pursue the doctorate degree. The admitted applicants will be supported by these organizations to apply the funding from China Scholarship Council (CSC, https://www.csc.edu.cn/). These are 4-years projects focusing on the camera-based contactless health monitoring, carried out between academia and industry in The Netherlands. The specific topics are listed below:
(1) Camera-based vital signs monitoring in automotive
• Build hardware and software setup for camera-based driver monitoring;
• Develop methods to extract vital signs from driver’s face (e.g. heart-rate, respiratory rate, blood pressure variation, heart-rate variability) that are relevant for driving state monitoring;
• Based on the extracted vital signs, use machine learning methods to predict the psychophysiological condition of the driver (e.g. fatigue/drowsiness detection or cardiac arrest detection);
• Validate the methods in driving conditions and build real-time prototypes.
(2) Camera-based vital signs for sleep monitoring
• Build hardware and software setup for camera-based sleep monitoring;
• Develop methods to extract vital signs (e.g. blood oxygen saturation) from the subject’s face and body that are relevant for sleep monitoring;
• Based on the extracted vital signs, use machine learning methods to perform sleep stage/disorder classification (e.g. apnea);
• Validate the methods in sleep conditions and build real-time prototypes.
(3) Camera-based human semantics for sleep monitoring
• Build hardware and software setup for camera-based sleep monitoring;
• Develop methods to extract human semantics (e.g. body motion, micro facial expression, activity, sleep posture, etc.) from the subject’s face and body that are relevant for sleep monitoring;
• Based on the extracted semantic features, use machine learning methods to perform sleep stage/disorder classification;
• Validate the methods in sleep conditions and build real-time prototypes.
(4) Multi-spectrum imaging for vital signs extraction
• Build hardware and software setup for multi-spectrum image analysis;
• Explore the feasibility of extracting human vital signs in addition to commonly measured heart-rate (variability), respiratory rate, blood oxygen level, pulse transit time, etc.;
• Investigate the relationships between the extracted vital signs and human psychophysiological state and validate them in clinical/daily-life use-cases.
2. Project organization
The project team is designed to combine extensive knowledge in the key fields (physiological measurement, contactless monitoring, sleep medicine, data analytics and implementation), with an elaborate clinical infrastructure. There is long-standing research collaboration between Eindhoven University of Technology, Philips Research and Kempenhaeghe on projects of health monitoring and related fields. Such an intense collaboration between a world-class university, a leading industrial partner, and a specialized sleep institute is unique within and outside of The Netherlands.
2.1 Philips
Philips is a global leader in patient monitoring solutions with a comprehensive product portfolio ranging from multi-parameter bedside monitors to wearable patient monitors combined with mobile applications and clinical decision support tools. It is Philips’ vision that future patient monitoring approaches will need to become more reliable, unobtrusive, and cost-efficient. Philips Research has an extensive track record, and strong patent portfolio, in developing new sensing and monitoring technologies, including video-based monitoring, and on advanced signal processing and data analytics Philips holds >100 patent applications around the vital signs camera technology.
2.2 Eindhoven University of Technology - Electronic Systems group
The Electronic Systems (ES) group focuses on the scientific basis for design trajectories for electronic systems, from function to realization. The trajectories are constructive and lead to high-quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, cost). Design trajectories of applications within the health care domain are an explicit focus point of the group. Within this area, prof.dr.ir. de Haan have developed various novel remote vital signs monitoring algorithms and their embedded implementations. Prof. de Haan’s work has resulted in 3 books, 3 book chapters, 180 scientific papers and more than 180 patent applications, and various commercially available ICs. He received 5 Best Paper Awards, the Gilles Holst Award, the IEEE Chester Sall Award, bronze, silver and gold patent medals, while his work on motion received the EISA European Video Innovation Award, and the Wall Street Journal Business Innovation Award.
2.3 Eindhoven University of Technology - Signal Processing Systems group
The Signal Processing Systems (SPS) Group of the Electrical Engineering Department of the TU/e chaired by prof.dr.ir. Bergmans has a strong international academic reputation evidenced by several recognitions such as 7 awarded Fellow Grade Memberships of IEEE, AES, and OSA. This level of recognition is matched by few other groups in the world. The group has a longstanding reputation in physiological monitoring of cardiac activity as evidenced by the numerous international publications and awards. Prof.dr.ir. Aarts, who has a chair in Ambulatory and Unobtrusive Monitoring and is Research Fellow within Philips, is expert advanced biomedical signal processing, sleep and cardiology. He has published over 350 papers and reports, and holds over 215 first patent application filings including over 125 US-patent applications and over 75 granted US-patents in the aforementioned fields. Philips presented him the Gilles Holst Award (1999), the Gold Invention Award (2012), and the Eureka Award (2001 and 2014). He is an IEEE Fellow (2007) and winner of the IEEE Chester Sall Award (2017); an AES (Audio Engineering Society) Silver Medal recipient (2010), Fellow (1998), and past-governor; a member of the VvBBMT (Dutch Society for Biophysics and Biomedical Engineering), and the NSWO (Dutch Society for Sleep and Wake Research).
2.4 Kempenhaeghe
Kempenhaeghe is one of the leading centers for sleep medicine in The Netherlands. The center sees about 1800 new patients every year, and has a nationwide expertise function for therapy resistant or complex sleep disorders, especially sleep related breathing disorders such as sleep apnea. Besides a 3rd line care function, clinical research is a prime focus of the center. This research is performed in close collaboration with academic institutions. There is a particularly strong interaction with the TU Eindhoven. Prof.dr. S. Overeem is somnologist and research coordinator at the Center for Sleep Medicine. In addition, he has a co-appointment at the TU/e departments of electrical engineering and industrial design where he leads the group on advanced sleep monitoring. He is a VENI and VIDI laureate and has published over 150 peer-reviewed papers in the field of sleep medicine. The team at Kempenhaeghe has built up a strong collaboration with the TU/e and Philips in the past years in the field of sleep disorders in general and OSA in particular.
The research project will mainly be carried out by PhD student, supervised by a full-time professor from TU/e and co-supervised by a full-time scientist from Philips Research. Prof.dr.ir. de Haan (ES/Philips) brings expertise in video health monitoring and video processing. Prof.dr.ir. Aarts (SPS/Philips) and prof.dr.ir. Bergmans (SPS) bring expertise in biomedical signal processing/analysis in general, and signal processing for sleep analysis specifically. This team of experts is responsible for the algorithm developments of the project. Prof.dr. Overeem will bring expertise in sleep medicine and the clinical work-flow at a sleep institute. Part-time support will be provided by senior/principal scientists from Philips Research and medical staff from KH to supply additional knowledge all throughout the project. For optimal utilization of existing devices and industrial know-how, a significant part of the research will be carried out at Philips Research. Staff members from Philips will be actively involved in project execution and provide substantial in-kind contribution. Dr.ir. Kirenko, dr.ir. Verkruysse and dr. Wang from the Remote Sensing department have worked on patient video monitoring from an early stage and will be strongly involved. In addition, experience on data analytics and deep learning from Philips will guarantee an optimal exchange of knowledge and a fast start up of the project.
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