Discrimination between healthy and patients with Parkinson’s disease from hand resting activity using inertial measurement unit

Optimization of virtual and real registration technology based on augmented reality in a surgical navigation system

(2020) Long Chen et al.   Biomedical Engineering Online

Cryopreservation of Human iPS Cell Aggregates in a DMSO-Free Solution—An Optimization and Comparative Study

(2020) Rui Li et al.   Frontiers in Bioengineering and Biotechnology

Improving the Accuracy of Convolutional Neural Networks by Identifying and Removing Outlier Images in Datasets Using t-SNE

(2020) Husein Perez et al.   Mathematics

Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study

(2020) Milla Juutinen et al.   PLoS One

Comparison between the Airgo™ Device and a Metabolic Cart during Rest and Exercise

(2020) Andrea Antonelli et al.   SENSORS

Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis

(2019) Nicolas Khoury et al.   SENSORS

Does the MDS-UPDRS provide the precision to assess progression in early Parkinson’s disease? Learnings from the Parkinson’s progression marker initiative cohort

(2019) Antoine Regnault et al.   JOURNAL OF NEUROLOGY

Using EMG Amplitude and Frequency to Calculate a Multimuscle Fatigue Score and Evaluate Global Shoulder Fatigue

(2018) Alison C. McDonald et al.   HUMAN FACTORS

Correlations between Motor Symptoms across Different Motor Tasks, Quantified via Random Forest Feature Classification in Parkinson’s Disease

(2017) Andreas Kuhner et al.   Frontiers in Neurology

Feature visualization and classification for the discrimination between individuals with Parkinson’s disease under levodopa and DBS treatments

(2016) Alessandro R. P. Machado et al.   Biomedical Engineering Online

Entropy-based complexity measures for gait data of patients with Parkinson's disease

(2016) Ozgur Afsar et al.   CHAOS

Accuracy of clinical diagnosis of Parkinson disease

(2016) Giovanni Rizzo et al.   NEUROLOGY

Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines

(2015) Sascha Gruss et al.   PLoS One

Continuous monitoring of turning in Parkinson’s disease: Rehabilitation potential

(2015) Martina Mancini et al.   NEUROREHABILITATION

Parkinson’s disease and essential tremor classification on mobile device

(2013) Alan Michael Woods et al.   Pervasive and Mobile Computing

Efficacy and Safety of Deep Brain Stimulation as an Adjunct to Pharmacotherapy for the Treatment of Parkinson Disease

(2012) A. Sharma et al.   ANNALS OF PHARMACOTHERAPY

Inertial Sensing to Determine Movement Disorder Motion Present before and after Treatment

(2012) Wesley J. E. Teskey et al.   SENSORS

Classification of parkinsonian and essential tremor using empirical mode decomposition and support vector machine

(2011) Lingmei Ai et al.   DIGITAL SIGNAL PROCESSING

Pattern Mining of Multichannel sEMG for Tremor Classification

(2010) Paulito Palmes et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Consensus Statement of the Movement Disorder Society on Tremor

(2010) Günther Deuschl et al.   MOVEMENT DISORDERS

Study of age-related changes in postural control during quiet standing through Linear Discriminant Analysis

(2009) Guilherme L Cavalheiro et al.   Biomedical Engineering Online

Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

(2009) S. Patel et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Meeting Report: Consensus Statement—Parkinson’s Disease and the Environment: Collaborative on Health and the Environment and Parkinson’s Action Network (CHE PAN) Conference 26–28 June 2007

(2008) Jeff Bronstein et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Changes in diagnosis with follow-up in an incident cohort of patients with parkinsonism

(2008) R Caslake et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Measuring complexity using FuzzyEn, ApEn, and SampEn

(2008) Weiting Chen et al.   MEDICAL ENGINEERING & PHYSICS

Moving approximate entropy applied to surface electromyographic signals

(2007) Siti A. Ahmad et al.   Biomedical Signal Processing and Control