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DEVELOPMENT OF A SENSOR UNIT FOR UNOBTRUSIVE NOCTURNAL HEALTH MONITORING
Obstructive sleep apnea (OSA) affects 1 billion individuals globally. By developing an advanced sensor unit for unobtrusive, home-based monitoring, we want to collect sleep-related data and identify unique OSA features associated with treatment outcomes. The ultimate goal is to enhance personalized care, improve diagnosis, and optimize the efficacy of obstructive sleep apnea treatments.
Keywords: Sleep Apnea
Sensor Unit
Nocturnal Health Monitoring
Continuous Positive Airway Pressure (CPAP)
Unobtrusive Monitoring
Automatic Data Handling
Interdisciplinary Project
Data Integrity
Healthcare Technology
Obstructive sleep apnea (OSA) affects approximately 1 billion individuals globally, causing disrupted breathing during sleep, oxygen desaturation, pressure fluctuations, and frequent awakenings. This can significantly impair sleep quality and daily functioning. Continuous positive airway pressure (CPAP) is the standard treatment but its adherence remains challenging due to various patient-related factors. Identifying unique OSA features associated with treatment outcomes is crucial for personalized care. Unobtrusive home-based monitoring will allow to determine these features that can then improve OSA diagnosis and treatment.
Obstructive sleep apnea (OSA) affects approximately 1 billion individuals globally, causing disrupted breathing during sleep, oxygen desaturation, pressure fluctuations, and frequent awakenings. This can significantly impair sleep quality and daily functioning. Continuous positive airway pressure (CPAP) is the standard treatment but its adherence remains challenging due to various patient-related factors. Identifying unique OSA features associated with treatment outcomes is crucial for personalized care. Unobtrusive home-based monitoring will allow to determine these features that can then improve OSA diagnosis and treatment.
The primary objective of this project is to develop an advanced sensor unit capable of automatically collecting sleep-realted data of an arbitrary number of individuals with sleep apnea. This unobtrusive device will operate seamlessly in both clinical and home settings, requiring no configuration overhead. Building upon our prior work using pressure arrays, radar, and microphones, the updated sensor unit will feature enhanced sensors and integrate automatic data handling and data integrity checks.
1. Literature Research
2. Requirement Definition: Collaborate with healthcare professionals and researchers to define specific requirements for the sensor unit, considering usability in clinical and home environments, usability, and data handling.
3. Selection of Sensors: Evaluate and select sensors that meet the project's requirements
4. Integration of Sensors into Sensor Unit: Design and implement a sensor unit that seamlessly integrates the selected sensors, ensuring compatibility and reliability in diverse settings.
5. Automatic Data Handling: Develop an automatic data handling system that efficiently collects, stores, and organizes large datasets.
6. Data Integrity Checks: Establish data integrity checks to identify anomalies or errors in the collected datasets.
The primary objective of this project is to develop an advanced sensor unit capable of automatically collecting sleep-realted data of an arbitrary number of individuals with sleep apnea. This unobtrusive device will operate seamlessly in both clinical and home settings, requiring no configuration overhead. Building upon our prior work using pressure arrays, radar, and microphones, the updated sensor unit will feature enhanced sensors and integrate automatic data handling and data integrity checks.
1. Literature Research 2. Requirement Definition: Collaborate with healthcare professionals and researchers to define specific requirements for the sensor unit, considering usability in clinical and home environments, usability, and data handling. 3. Selection of Sensors: Evaluate and select sensors that meet the project's requirements 4. Integration of Sensors into Sensor Unit: Design and implement a sensor unit that seamlessly integrates the selected sensors, ensuring compatibility and reliability in diverse settings. 5. Automatic Data Handling: Develop an automatic data handling system that efficiently collects, stores, and organizes large datasets. 6. Data Integrity Checks: Establish data integrity checks to identify anomalies or errors in the collected datasets.
This is a highly interdisciplinary project involving researchers from ETH Zurich, the University Hospital Zurich, and University of Groningen in the Netherlands.
This is a highly interdisciplinary project involving researchers from ETH Zurich, the University Hospital Zurich, and University of Groningen in the Netherlands.
We expect a highly motivated bachelor or master student. Although not a prerequisite, ideally you have some experience with Linux, sensor integration and automatization.
Depending on the type of thesis (Bachelor / Semester / Master) and your background, the workload can be adjusted. Moreover, you will receive constant support from our engineers and civil servants to perform this project.
We expect a highly motivated bachelor or master student. Although not a prerequisite, ideally you have some experience with Linux, sensor integration and automatization.
Depending on the type of thesis (Bachelor / Semester / Master) and your background, the workload can be adjusted. Moreover, you will receive constant support from our engineers and civil servants to perform this project.
If interested, please send your application including your CV and most recent transcript to Alexander Breuss (alexander.breuss@hest.ethz.ch). We are looking forward to hearing from you!
If interested, please send your application including your CV and most recent transcript to Alexander Breuss (alexander.breuss@hest.ethz.ch). We are looking forward to hearing from you!