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PhD Position in Biomedical Signal Processing for Cardiac Arrhythmia Classification
Entreprise:CSEM, Employeur direct
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Description du poste↓Profil de l'employeur↓
Date de publication30.05.2020
Numéro de référencePas d'information
Domaine d'activité
Creation/ Conception
Lieu de travail***CH Suisse/ Schweiz/ Switzerland***, 2002 Neuchâtel
Expérience professionnelle réquisenon
Diplôme universitaireMaster
Brève descriptionThe high-tech activities of CSEM
Range at Swiss and international levels
from applied research to the development
of industrial products. The high degree of expertise
of our staff is our strength.

CSEM is a private research, technology and innovation center specializing in microtechnology, microelectronics, system engineering and renewable energy systems. It offers its customers and industry partners custom-made innovative solutions. Our strength is the excellence of our people.
Description complèteCardiac arrhythmias affect millions of people. They are often diagnosed too late, when a patient is already hospitalized for complications such as heart failure or stroke. Long-term ambulatory monitoring of cardiac function is therefore crucial for the early detection of arrhythmias to provide proper diagnosis, treatment and reduce risks of complications. However, cardiac monitoring with current ambulatory ECG devices are cumbersome and limited to a couple of days. Recent advances in photoplethysmography (PPG) have made this technology a promising tool to detect irregular heart rate in ambulatory settings. The non-invasiveness and its unobtrusiveness of PPG (e.g. measurement via a simple smartwatch), allow for the long-term ambulatory screening of arrhythmias, in particular intermittent atrial fibrillation (AF) and non-sustained arrhythmias.

Your mission

The main goal of the proposed PhD project is to develop robust and reliable algorithms to detect and classify cardiac arrhythmias in everyday life with a PPG-based sensor. To this end, important issues need to be addressed. First, the correct discrimination of different types of arrhythmias require in-depth investigations since certain can easily be confounded (e.g. intermittent AF vs frequent ectopic beats). Second, PPG signals are known to be sensitive to motion artifacts occurring in ambulatory recordings which may confound PPG-based arrhythmia detection. This research will investigate the PPG signal morphology related to physiological and non-physiological changes as well as the relevance of PPG-based features to discriminate arrhythmias. This work will be carried out in close collaboration with two Swiss university hospitals (Inselspital and CHUV) carrying out clinical studies on more than 300 patients, including long-term ambulatory studies.

Your profile

You have a Master in Biomedical or Electrical Engineering or related fields and bring in the following skills:
• Excellent abstraction and analytical skills;
• Strong background in signal processing and data analysis;
• Very good skills in programming (Python and/or C);
• Notions of human physiology, in particular of the cardiovascular system;
• Willingness to push beyond the current state of knowledge.
• Fluency in English, willingness to learn French, German being a plus.

We offer

CSEM offers a stimulating and multidisciplinary work environment with the opportunity to work with leading Swiss and international companies. You will have the opportunity to benefit from excellent social security conditions and to evolve within a multicultural company which clearly promotes an employee-driven culture. CSEM is an equal opportunities employer.

We look forward to receiving your complete application file via our job page https://www.csem.ch/Page.aspx?pid=47528&jobid=116562

Preference will be given to professionals applying directly.
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