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Developing a quality-support and visualization system for biomedical signals collected from wearable devices
Physiological parameters are valuable for diagnosis and research purposes. Wearable devices can measure physiological signals such as electrocardiogram (ECG), photoplethysmogram (PPG), and electroencephalogram (EEG). There is a great need to integrate wearable technology into the clinical workflow.
Keywords: Web design, visualization, mobile health, remote assessment, wearable data, data quality
Physiological parameters are valuable for diagnosis and research purposes. Wearable devices can measure physiological signals such as electrocardiogram (ECG), photoplethysmogram (PPG), and electroencephalogram (EEG). There is a great need to integrate wearable technology into the clinical workflow to allow the clinicians and researchers remotely monitor the patient physiological parameters in real time and in a long-term. However, remote monitoring is highly susceptible to data quality loss, noise and misinterpretation, which might negatively influence the decision-making.
We are developing a web-based system, which allows the clinicians and researchers to visualize the remotely collected wearable signals together with their quality parameters.
**We Offer:**
- A thesis in a multi-disciplinary environment among engineers and clinicians
- In collaboration with an industrial partner
**Your thesis:**
You will develop a visualization system for displaying quality aspects of biomedical signal:
- System design
- System testing with real biomedical signals
**Requirements:**
- Your background is in computer science, electrical engineering, mechanical engineering or biomedical engineering.
- You should be good at web-based programming; additional data analysis or signal processing skill is a plus.
Physiological parameters are valuable for diagnosis and research purposes. Wearable devices can measure physiological signals such as electrocardiogram (ECG), photoplethysmogram (PPG), and electroencephalogram (EEG). There is a great need to integrate wearable technology into the clinical workflow to allow the clinicians and researchers remotely monitor the patient physiological parameters in real time and in a long-term. However, remote monitoring is highly susceptible to data quality loss, noise and misinterpretation, which might negatively influence the decision-making. We are developing a web-based system, which allows the clinicians and researchers to visualize the remotely collected wearable signals together with their quality parameters. **We Offer:** - A thesis in a multi-disciplinary environment among engineers and clinicians - In collaboration with an industrial partner **Your thesis:** You will develop a visualization system for displaying quality aspects of biomedical signal: - System design - System testing with real biomedical signals
**Requirements:** - Your background is in computer science, electrical engineering, mechanical engineering or biomedical engineering. - You should be good at web-based programming; additional data analysis or signal processing skill is a plus.
The goal is to develop a web-based system, which allows the clinicians and researchers to visualize the remotely collected wearable signals together with their quality parameters.
The goal is to develop a web-based system, which allows the clinicians and researchers to visualize the remotely collected wearable signals together with their quality parameters.
Jia Zhang, Mobile Health Systems Lab, Lengghalde 5, 8092 Zurich.
Email: jia.zhang@hest.ethz.ch
Phone: 044 510 72 28
Availability: Jan. 2020 or on demand
Jia Zhang, Mobile Health Systems Lab, Lengghalde 5, 8092 Zurich. Email: jia.zhang@hest.ethz.ch Phone: 044 510 72 28 Availability: Jan. 2020 or on demand