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.
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.
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).
Our main interest is in the molecular mechanisms of photoreceptor signaling and increasingly in the mechanisms of neurodegeneration in certain retinal diseases.
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.
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.
We develop AI tools for automatically analyzing medical imaging data.
In the MEG-MRI group, we develop techniques and instrumentation for neuroscience and medicine, electromagnetic neuroimaging in particular.
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.
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.
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.
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.
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.
Biotribology research studies the properties and development of prosthetic joints. Biotribology is an established top expertise special area in the Mechatronics group.
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.
The Aalto Networking Platform brings together research expertise across departments, supporting collaboration both inside and outside of Aalto.