SiROP
Login   
Language
  • English
    • English
    • German
Home
Menu
  • Login
  • Register
  • Search Opportunity
  • Search Organization
  • Create project alert
Information
  • About SiROP
  • Team
  • Network
  • Partners
  • Imprint
  • Terms & conditions

Spinal Cord Injury & Artificial Intelligence Lab

AcronymSCAI-Lab
Homepagehttps://www.scai.ethz.ch/
CountrySwitzerland
ZIP, City6207 Nottwil
AddressGuido A. Zäch Str. 1, Schweizer Paraplegiker-Zentrum
Phone+4141 939 60 33‬
TypeAcademy
Top-level organizationETH Zurich
Parent organizationETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC)
Current organizationSpinal Cord Injury & Artificial Intelligence Lab


Open Opportunities

Master Thesis / Project - SENSEI: Sensor Teaching in Multi-Activity classification from Video and Wearables for Wheelchair Users

  • ETH Zurich
  • Sensory-Motor Systems Lab Other organizations: ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC), Spinal Cord Injury & Artificial Intelligence Lab

In this project, we focus on continuous and quantitative monitoring of activities of daily living (ADL) in SCI individuals with the goal of identifying cardiovascular events and PI-related risk behaviors. ADLs specific to SCI patients and their lifestyles shall be discussed and narrowed down in the scope of this work, therefore an autonomous camera-based system is proposed to classify ADLs. The Current work builds on a previous project where a SlowFast network [1] was trained to identify SCI-specific classes and we aim to further improve the classification and temporal resolution for transferring to wearables' time-series data.

  • Computer Vision, Health Information Systems (incl. Surveillance), Intelligent Robotics, Knowledge Representation and Machine Learning, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
  • Bachelor Thesis, Course Project, ETH for Development (ETH4D) (ETHZ), ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project

Master Thesis: Development of a Customized Knee Orthosis for Osteoarthritis

  • ETH Zurich
  • Spinal Cord Injury & Artificial Intelligence Lab Other organizations: Sensory-Motor Systems Lab

Osteoarthritis (OA) presents a significant challenge in healthcare, necessitating innovative solutions to alleviate pain, enhance mobility. This thesis documents the research and development journey of an OA knee orthosis within the Spinal Cord and Artificial Intelligence Lab (SCAI-Lab) at ETH Zurich. This thesis is a close collaboration between the ORTHO-TEAM Group and the SCAI-Lab at ETH Zurich. The collaboration offers a unique exchange of expertise and resources between industry and academia. Together, we aim to make meaningful progress in the field of and empower students to make valuable contributions to their academic pursuits.

  • Biomechanics, Biomedical Engineering
  • ETH Zurich (ETHZ), Master Thesis

Research Assistant in Biosensing for Robotics Care and Body Simulation (~12 months)

  • ETH Zurich
  • Spinal Cord Injury & Artificial Intelligence Lab Other organizations: ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC), Sensory-Motor Systems Lab

Join a team of scientists improving the long-term prognosis and treatment of Spinal Cord Injury (SCI) through mobile and wearable systems and personalized health monitoring. Joining the SCAI Lab part of the Sensory-Motor Systems Lab at ETH, you will have the unique opportunity of working at one of the largest and most prestigious health providers in Switzerland: Swiss Paraplegic Center (SPZ) in Nottwil (LU).

  • Artificial Intelligence and Signal and Image Processing, Computer Software, Data Format, Information Systems
  • ETH Zurich (ETHZ), Internship, Lab Practice, Student Assistant / HiWi

Master's Thesis: AI-powered nap detection from Fitbit data

  • ETH Zurich
  • Spinal Cord Injury & Artificial Intelligence Lab Other organizations: Sensory-Motor Systems Lab

The uprise of consumer-grade fitness trackers has opened the doors to long-term activity monitoring in the wild in research and clinics. However, Fitbit does not identify napping episodes shorter than 90 minutes. Hence, there is a need to establish a robust algorithm to detect naps.

  • Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Biosensor Technologies, Electrical and Electronic Engineering
  • Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis

Master Thesis: Data Analysis of Wearable and Nearable Sensors Data for Classification of Activities of Daily Living

  • ETH Zurich
  • Spinal Cord Injury & Artificial Intelligence Lab Other organizations: Sensory-Motor Systems Lab

This project aims to develop a novel algorithm for tracking a person's health condition changes using daily life wearable sensor data, biosignals, and information from nearable sensors. With the Life-long-logging system, we want to provide meaningful data for medical staff and directly engage patients and their caregivers.

  • Artificial Intelligence and Signal and Image Processing, Engineering and Technology
  • Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project

Master Thesis: Data Analysis of Wearable and Nearable Sensors Data within the StrongAge Cohort Study

  • ETH Zurich
  • Spinal Cord Injury & Artificial Intelligence Lab Other organizations: Sensory-Motor Systems Lab

The StrongAge Dataset, collected over one year, provides a rich data repository from unobtrusive, contactless technologies combined with validated mood and cognition questionnaires. This project aims to uncover digital biomarkers that can transform elderly care, addressing critical research questions related to sleep, cognition, physical activity, and environmental influences.

  • Biomechanical Engineering, Signal Processing
  • Bachelor Thesis, ETH Zurich (ETHZ), Internship, Lab Practice, Master Thesis, Semester Project, Student Assistant / HiWi
SiROP PARTNER INSTITUTIONS