Physical training and regular exercise are known to increase endurance and quality of life of people suffering from chronic heart failure, relieving their symptoms, and reducing hospitalization rate. However, dyspnea and fatigue often prevent these patients to practice regular exercises leading to progressive deconditioning and muscular atrophy, which negatively affect patients’ quality of life.
In this context, using a soft-wearable robot that assist mobilization according to the patient needs is expected to delay fatigue onset and enable a more intensive training compared to conventional therapy.
The aim of this study is to investigate the effectiveness of robotic-assisted physiotherapy in patient with heart failure. 20 participants will take part in 24 training sessions and the effects of robotic-assisted physiotherapy will be investigated over time.
Physical training and regular exercise are known to increase endurance and quality of life of people suffering from chronic heart failure, relieving their symptoms, and reducing hospitalization rate. However, dyspnea and fatigue often prevent these patients to practice regular exercises leading to progressive deconditioning and muscular atrophy, which negatively affect patients’ quality of life. In this context, using a soft-wearable robot that assist mobilization according to the patient needs is expected to delay fatigue onset and enable a more intensive training compared to conventional therapy. The aim of this study is to investigate the effectiveness of robotic-assisted physiotherapy in patient with heart failure. 20 participants will take part in 24 training sessions and the effects of robotic-assisted physiotherapy will be investigated over time.
The study is conducted in collaboration with the Deutsches Herzzentrum Berlin. You have the opportunity to spend approx. 5 months in Berlin working closely with doctors, clinicians and physiotherapists. Your tasks include the acquisition and analysis of robotic and movement data collected from sensors embedded in the soft wearable robot, to extract the most relevant gait parameters and investigate their correlation with other clinical outcomes collected during the study (e.g echocardiography, blood pressure and blood analysis).
The study is conducted in collaboration with the Deutsches Herzzentrum Berlin. You have the opportunity to spend approx. 5 months in Berlin working closely with doctors, clinicians and physiotherapists. Your tasks include the acquisition and analysis of robotic and movement data collected from sensors embedded in the soft wearable robot, to extract the most relevant gait parameters and investigate their correlation with other clinical outcomes collected during the study (e.g echocardiography, blood pressure and blood analysis).
- you will have the possibility to learn to use the Myosuit, one of the few soft wearable robots commercially available
- you will get an insight into the application of wearable robotic devices in clinical settings
- you will be part of a highly motivated and dynamic research team. The team is highly heterogeneous including engineers, doctors, physiotherapist and clinicians.
- you will work at the Deutsches Herzzentrum Berlin, a leading medical research center specialized in cardiovascular disease and cardiopulmonary transplantation.
- you will have the possibility to learn to use the Myosuit, one of the few soft wearable robots commercially available - you will get an insight into the application of wearable robotic devices in clinical settings - you will be part of a highly motivated and dynamic research team. The team is highly heterogeneous including engineers, doctors, physiotherapist and clinicians. - you will work at the Deutsches Herzzentrum Berlin, a leading medical research center specialized in cardiovascular disease and cardiopulmonary transplantation.
- Enrolled as Master student at ETH Zurich or EPFL
- Proficient in German
- Structured and reliable working style
- Dedication and motivation to work
- Interest in wearable robots and human-robot interaction
- Team-oriented and communicative personality
- Enrolled as Master student at ETH Zurich or EPFL - Proficient in German - Structured and reliable working style - Dedication and motivation to work - Interest in wearable robots and human-robot interaction - Team-oriented and communicative personality
Please send your CV and latest transcript of records from myStudies to chiara.basla@hest.ethz.ch. We are looking forward to hearing from you!
Please send your CV and latest transcript of records from myStudies to chiara.basla@hest.ethz.ch. We are looking forward to hearing from you!