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Filip Bergquist
Publication Activity (10 Years)
Years Active: 2015-2020
Publications (10 Years): 6
Top Topics
Unsupervised Learning
Wearable Sensors
Amyotrophic Lateral Sclerosis
Cardiovascular Disease
Top Venues
IEEE J. Biomed. Health Informatics
Sensors
Comput. Methods Programs Biomed.
EMBC
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Publications
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Somayeh Aghanavesi
,
Filip Bergquist
,
Dag Nyholm
,
Marina Senek
,
Mevludin Memedi
Motion Sensor-Based Assessment of Parkinson's Disease Motor Symptoms During Leg Agility Tests: Results From Levodopa Challenge.
IEEE J. Biomed. Health Informatics
24 (1) (2020)
Somayeh Aghanavesi
,
Jerker Westin
,
Filip Bergquist
,
Dag Nyholm
,
Håkan Askmark
,
Sten Magnus Aquilonius
,
Radu Constantinescu
,
Alexander Medvedev
,
Jack Spira
,
Fredrik Ohlsson
,
Ilias Thomas
,
Anders Ericsson
,
Dongni Johansson Buvarp
,
Mevludin Memedi
A multiple motion sensors index for motor state quantification in Parkinson's disease.
Comput. Methods Programs Biomed.
189 (2020)
Teodora Matic
,
Somayeh Aghanavesi
,
Mevludin Memedi
,
Dag Nyholm
,
Filip Bergquist
,
Vida Groznik
,
Jure Zabkar
,
Aleksander Sadikov
Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease.
AIME
(2019)
Ilias Thomas
,
Jerker Westin
,
Moudud Alam
,
Filip Bergquist
,
Dag Nyholm
,
Marina Senek
,
Mevludin Memedi
A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.
IEEE J. Biomed. Health Informatics
22 (5) (2018)
Ilias Thomas
,
Filip Bergquist
,
Radu Constantinescu
,
Dag Nyholm
,
Marina Senek
,
Mevludin Memedi
Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states: Results from 7 patients.
EMBC
(2017)
Mevludin Memedi
,
Aleksander Sadikov
,
Vida Groznik
,
Jure Zabkar
,
Martin Mozina
,
Filip Bergquist
,
Anders Johansson
,
Dietrich Haubenberger
,
Dag Nyholm
Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease.
Sensors
15 (9) (2015)