Sensorik 1
Sensorik
Sensorik
Sensorik
Sensorik

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Sensor & Health Technologies Technologies for advanced sensors being used for demanding tasks in the industry, medicine and research.

The sensor technology team researches photonic, optical and other sensor technologies and combines them with artificial intelligence to create sensor systems for the recognition and measurement of physical, chemical and biomedical features. This technology leads to greater accuracy in object recognition and material detection and allows novel applications in factory automation, personalised health, smart health solutions and digital health.

 

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Current Projects

Sorthodisc - Microfluidic sensing technology and sorting for isolation of stem cells for intervertebral disc therapy.

Label-free Electrical Impedance Cell Sorting validated on the Clinical Application for sorting rare Progenitor Cells from human Intervertebral Disc Tissue for Development of Cell Therapy

Preventing stroke thanks to early detection of cardiac arrhythmias with artificial intelligence

The Swiss eHealth start-up evismo and the iHomeLab of the Lucerne University of Applied Sciences and Arts are jointly developing algorithms to detect and predict cardiac arrhythmias earlier.

Increased efficiency, flexibility and sustainability in industry, as well as in personalised diagnoses and therapies in medicine.

Thanks to intelligent sensors, the degree of automation and flexibility of industrial processes can be increased and errors and wastage reduced. Patients will benefit from more precise solutions for the prevention, early detection and individualised therapy of diseases. 

Sensors

Together with industrial partners and research institutions from Switzerland and Europe, we research and develop novel sensor principles and implement them in applications. Our research is applied to solve challenges including

  • Quality monitoring in the processing of microfibres to increase efficiency, flexibility and quality as well as to reduce energy costs
  • 3D object detection and quality monitoring in factory automation
  • Material categorisation in waste disposal to increase the recycling rate
  • AI-based ECG analysis for early detection of cardiac arrhythmias based on predictive markers
  • Therapy of glaucoma patients with a novel microfluidic stent

The research of the Sensor & Health Technologies-Team is based on the following competences:

  • Hyperspectral imaging VIS/IR for material detection
  • 3D ToF imaging
  • 3D radar image analysis
  • Digital Health: AI based ECG analysis
  • Microfluidics: simulation, chip design and testing
  • Various machine learning methods, including deep learning
  • Computer vision for geometric analysis
  • Multiphysics simulations 

More Projects

For more than 15 years, the iHomeLab has been successfully involved in research and has developed solutions in the field of Sensor and Health Technoligies in various projects.

Quantumsensor

NV Diamond Quantum-Sensor

Quantum technology for non-contact and sensitive measurement of magnetic fields and electric currents.

Hyperspektrale Bildgebung

Hyperspectral Imaging Project

Novel sensor system based on hyperspectral imaging in the VIS/NIR range for continuous quality monitoring integrated in the production process in raw material processing.

Projekt FAST

FAST

Fitness device with adaptive heart rate control for older people based on an e-bike

MF Stent

Microfluidic Stent

Development and simulation of a microfluidic stent for improved glaucoma treatment.

Projekt 3D TOF

3D-TOF

Intelligent camera for Industry 4.0: increasing the degree of automation thanks to three-dimensional recognition of industrial parts on production lines. 

Artificial intelligence helps to dose Parkinson's medication correctly

Cyber-Human

Novel sensor network for optimizing the medication of Parkinson's patients. 

Scientific Papers on the Topic of Sensor & Health Technologies

Partners

Our application-oriented and interdisciplinary research projects are carried out in close cooperation with industry partners and end-user organisations. The research partners automatically become part of our network, which currently comprises over 200 partners. They meet at networking events and have the opportunity to establish contacts for future projects.

The iHomeLab has a successful and long-standing collaboration with its partners.