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Research & Art

H&W Devices and Related Methods and Analytical Tools

This cluster is a subarea of Aalto University’s Health and Wellbeing (H&W) expertise and includes research and development on wide-ranging medical and wellbeing devices.

The area encompasses medical and wellbeing devices, including many types of biosensors. The scale of the devices includes all from macro to smaller, encompassing technologies such as microelectromechanical systems. 

Imaging and neurological devices represent notable subclusters of expertise within this cluster. While electrical devices comprise the majority of our focus, the area also includes research and development on macro-scale mechanical devices such as surgical instruments and artificial joints. 

Professors in the area are from a multitude of complementary backgrounds, including physics, electrical engineering, biology, the medical sciences, and mechanical engineering.

Key Research Area: Health and well-being

Representative Research Groups and Major Projects

Aalto NeuroImaging (ANI) Infrastructure

ANI research infrastructure houses three functional neuroimaging modalities, functional magnetic resonance imaging (fMRI) at Advanced Magnetic Imaging (AMI) Centre, magnetoencephalography (MEG) at MEG Core and Aalto Behavioral Laboratory (ABL).

ANI

Cellular Biophysics

Our main interest is in the molecular mechanisms of photoreceptor signaling and increasingly in the mechanisms of neurodegeneration in certain retinal diseases.

Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Engineered Nanosystems

Our work aims at generating new insight on the physics and operation of photonic devices to improve their performance and to develop predictive physical models in close collaboration with experimentalists and enterprises.

Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Imaging Language

Our group's work is necessary for a scientific description of language processing in a healthy human brain, but essential in providing the groundwork for an informed and efficient description and treatment of developmental and acquired language disorders.

Aalto University/Imaging language

Medical Image Computing

We develop AI tools for automatically analyzing medical imaging data.

"Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling“ by Puonti et al. NeuroImage (2020), licensed under CC-BY-NC-ND

MEG-MRI Brain Imaging Group

In the MEG-MRI group, we develop techniques and instrumentation for neuroscience and medicine, electromagnetic neuroimaging in particular.

MEG-MRI prototype and application

Near-infrared spectroscopy and imaging group (NIRS)

The near-infrared spectroscopy and imaging (NIRSI) group at NBE is developing frequency domain instrumentation for High-Density Diffuse Optical Tomography (HD-DOT) primarily for neuroimaging applications.

Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Neuroimaging methods group (NIMEG)

We work at the intersection of neuroscience and neurotechnology by developing novel measurement and analysis methods for studying human brain structure and function, as well as applying these methods to address important and challenging research questions in both basic and clinical neuroscience.

Left: OPM and SQUID sensor layouts. Right: OPM-MEG measurement session.

Sensor Informatics and Medical Technology

Research of the group focuses on sensor informatics, adaptive signal processing, data fusion systems, and machine learning (including AI), especially for medical applications. Other applications include smartphone sensor fusion, robotics, positioning systems, target tracking, biomedical imaging, and many other indirectly measured time-varying systems.

sensori-informatiikka

Transcranial Magnetic Stimulation (TMS)

TMS group conducts research on three interconnected areas: the group carries out neurophysiological experiments and develops methods for TMS–EEG signal analysis as well as instrumentation for TMS.

ConnecToBrain project, illustration by Otto Olavinen

Safer bone surgery thanks to a technique patented at Aalto

MIT Technology Review selected Visa Sippola as one the most promising young innovators.

In this project, both retrieval and hip joint simulator studies are carried out to solve the problems of liner fracture and taper wear. The results can be utilized by the orthopaedic industry and orthopaedic surgeons.

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Mechatronics: Biotribology

Biotribology research studies the properties and development of prosthetic joints. Biotribology is an established top expertise special area in the Mechatronics group.

Mechatronics research device
Aalto-health-forest-hiking

Key Research Area: Health and well-being

Aalto University’s expertise in health and well-being is broad-based, with strong clusters of research groups such as in medical devices, health AI, neuroscience, and care-facility architecture.

Research & Art
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Aalto Networking Platform

The Aalto Networking Platform brings together research expertise across departments, supporting collaboration both inside and outside of Aalto.

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