New publication: EEG Headset Evaluation for Detection of Brain-Computer Interfaces

Abstract: Brain–computer interfaces (BCIs) can be used in neurorehabilitation; however, the literature about transferring the technology to rehabilitation clinics is limited. A key component of a BCI is the headset, for which several options are available.

The aim of this study was to test four commercially available headsets’ ability to record and classify movement intentions (movement-related cortical potentials—MRCPs). Twelve healthy participants performed 100 movements, while continuous EEG was recorded from the headsets on two different days to establish the reliability of the measures: classification accuracies of single-trials, number of rejected epochs, and signal-to-noise ratio. MRCPs could be recorded with the headsets covering the motor cortex, and they obtained the best classification accuracies (73%-77%). The reliability was moderate to good for the best headset (a gel-based headset covering the motor cortex). The results demonstrate that, among the evaluated headsets, reliable recordings of MRCPs require channels located close to the motor cortex and potentially a gel-based headset.

PDF Version is available here.

LOVOT calls for joy and smiles for elderly with dementia

LOVOT

LOVOT is a social robot developed by Groove X in Japan. In March Laboratory for Welfare Technologies was about to begin to test the LOVOT with citizens with dementia at nursing homes in Aalborg, Viborg and Skive Municipality in Denmark as the first place in the world. LOVOT was brought to the nursing homes and ready to interact with the citizens. Unfortunately, Covid-19 started spreading, causing Denmark to go into lockdown and stopped us from testing LOVOT at the nursing homes. This has brought us in quite a unique situation: LOVOT being in lockdown together with citizens with dementia at the nursing homes. We are therefore excited to see how LOVOT will interact with the citizens in a lockdown period. The nursing homes now report back that the citizens have enjoyed the LOVOT and it has created joy and a lot of smiles for the citizens with dementia. We have postponed our scientific test supported by the National Health Authorities (Sundhedsstyrelsen) in Denmark to the fall 2020.

New publication: Individualized asynchronous sensor-based telerehabilitation program

Reza Naeemabadi, PhD student at Laboratory for Welfare Technology, Aalborg University, has published a study aimed to identify patients’ requirements after a total knee replacement following a self-training rehabilitation program, leading to the design and development of a telerehabilitation program.

Telerehabilitation programs can be employed to establish communication between patients and healthcare professionals and empower patients performing their training remotely. Let us hope it will be used more in the future.

You can see and read the paper here.

Hjertepatienter måler EKG med fingerspidserne

I aftes blev forskningsprojektet Future Patient – telerehabilitering af patienter med atrieflimren vist på TV Midt/Vest – klik på billedet for at se indslaget:

TV Midt/Vest, 2020-02-04

Projektet er et samarbejde mellem Hjerteafdelingen på Regionshospitalet Viborg og Skive, sundhedscentre i Viborg og Skive kommuner, Hjerteforeningen, Psykologisk Institut, Aarhus Universitet, DTU og Laboratoriet for Velfærdsteknologi, Institut for Medicin og Sundhedsteknologi på Aalborg Universitet.
Projektet er støttet af Aage og Johanne Louis-Hansens Fond.

Join the conference “Aging in a Digital World”

Download ADW registration flyer
Download flyer

Join the conference “Aging in a Digital World” in Sacramento, California, April 1-2, 2020 – it has been postponed due to the corona virus.

Our goal for the conference is to identify gaps in research, technology and policy that are delaying the adoption of innovations to support aging in a digital world.

You can see the program and sign up for the conference here.
You can submit a poster, please see call for poster abstracts here.

The conference organised by the UC Davis Health, Citris UC Berkeley and the Transatlantic Telehealth Research Network (TTRN). Hope to see you.

LOVOT has arrived

LOVOT – a new social robot from Groove X in Japan has arrived to Aalborg University.

The LOVOTs are named Anne and Lars and will be tested for the first time outside Japan in interaction with citizens with dementia this spring in collaboration with Aalborg, Viborg and Skive Municipalities.

The LOVOTs are designed to create joy, has memory (AI), remember people, recognizes own name and has unique personalities that develops over time.

The National Health Authorities in Denmark are funding the project.

TTRN PhD Course 2020 – Save the Date

TTRN – CITRIS International Summer Institute August 10–14, 2020 at University of California, Berkeley.

TTRN logo

The Danish-American Transatlantic Telehealth Research Network (TTRN) is dedicated to developing cutting-edge research and innovation within telehealth. The 2020 topics include research methods and approaches for health informatics, tele- and digital-health, plus a special focus on data science, robotics, artificial intelligence, and associated data governance and ethical-legal issues.

Doctoral students and post-doctoral trainees may apply to be a Fellow which comes with partial funding. Fellowship applications will be accepted on a rolling basis from January 8, 2020 to February 28, 2020. Priority will be given to early applicants.
Advanced master’s students and faculty new to the topic area may register on a space available basis starting March 1. 2020

Program Committee: Chair Katherine Kim, Birthe Dinesen, Nick Anderson, Kristian Kidholm, David Lindeman, and Student Representative Cynthia Matsumoto.

Direct any questions to personalizedhealthprogram@ucdavis.edu.
Complete information will be available soon at lnkd.in/gk8mri8
Download flyer:

TTRN PhD-2020 Flyer