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Research

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Ongoing Projects

 

 

 

 

A news about the “Dust Approach” on EPFL

Smart Neural Dust to Revert Blindness                  

 

Visual prostheses are used to revert blindness: a medical condition affecting more than 39 million people worldwide (WHO). So far retinal prostheses showed the best performances in clinical trial on patients. However, one of the main limitations is the low resolution as due to the limited number of electrodes that can be addressed with wires. Therefore, we propose an innovative neurostimulation by wireless device is an array of thousands freestanding, ultra-small, and individually addressable CMOS-pixels (200 x 200 x 30 μm3), as a kind of Body-Dust embedded into a conformable mesh for easy surgical placement in human visual cortex.

 

 

 

GlucoRaman

Compact Glucose Sensing Using Vibrational Imaging

                  

Industrial Direct Fund

 

With diabetes as a major disease issue for many people all around the world, the regular monitoring of the blood glucose level remains the only way to avoid severe secondary health complication through controlled insulin administration. However, present way to measure glucose level in diabetic patients is quite invasive techniques like the řngerstick testing. Therefore, we plan here the development of new and fully non-invasive blood glucose monitoring techniques that would improve significantly the life quality of diabetic subjects and help early detection and prevention of diabetes for the healthy ones.

 

 

Cybercare

Integrated Sensing Architectures and Tools for Health Care

Description: http://prosense.epfl.ch/files/content/sites/prosense/files/euro.png

                   H2020

 

This research project addresses high-risk, high-reward research of integrated sensing and computing architectures, as well as of models, methods and tools for their design and operation. Such architectures provide the bridge between bio-systems and information processing systems. Breakthroughs in data acquisition, processing and decision making support will enable new smart-health applications. This project also aims at the development of wearable multi-sensing platform for ion-sensing. Sweat is used here as main sample fluid because it represents a promising substitute to blood thanks to the simple artificial reproducibility and to the large accessibility that does not require invasive or painful procedures. Read more

 

 

 

 

A video on Youtube

CoMofA2:

Monitoring of Anesthetics – Project prolongation

 

 

 

Precise measure and control of anesthesia remain challenging and could results in faulty drug administration. Proper anesthesia requires the achievement of a certain target plasma concentration of drugs, typically injected by Target Controlled Infusion (TCI) systems, with prediction errors in control models reaches 20-30% due to the patients’ diversity. Good improvement can come by frequent measure of the anesthetics in the patient’ blood as we have already demonstrated in a previous project on this research subject. Therefore, we target here the realization of a pen-based system for an easy-to-use, cheap-enough, and point-of-care monitoring of anesthetics (mainly propofol) in human fluids.

 

 

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Former Projects

Integrated ion-sensor platform for remote monitoring of water networks

 

 

CTI/project

The company Microsens, a company of the EPFL Scientific Park, has more than 20 years experience on devices for water quality monitoring. On the other hand, École Polytechnique Fédérale de Lausanne, EPFL is currently developing electrochemical sensors for monitoring ions. Therefore, EPFL and Microsens would like to merge the ideas and technologies for investigation of innovative nano-sensors for continuous monitoring of the water quality. Electrochemical sensors are chosen because they can be easily integrated with electronics to provide automated monitoring in the field, including wireless transmission thank to an approach that we have already successfully demonstrated for medical applications.