MDS Virtual Congress 2021 » Technology

Meeting: MDS Virtual Congress 2021

A Computer-Vision Based Method for Quantifying Parkinsonian Gait

S. Rupprechter, G. Morinan, Y. Peng, J. O'Keeffe (London, United Kingdom)

A Machine Learning Approach to VTA Prediction in DBS

B. Hoenes, G. Steinke (Valencia, USA)

A metadata-driven tool to determine the robustness of digital health technologies assessments for Parkinson’s disease leveraging the voice of the patient

S. Sardar, R. Bhatnagar, R. Badawy, J. Burton, V. Aggarwal, K. Romero, M. Minchik, M. Spott, D. Hill, J. Cosman, C. Lansdall, G. Stebbins, N. Zach, M. Frasier, T. Hastings, M. Javidnia, J. Duffen, H. Matthews, M. Lawton, D. Dexter, N. Ratcliffe, K. Fisher, L. Oliva, S. Jones, A. Dowling, M. Meinders, L. Evers, B. Bloem, J. Cedarbaum, M. Muller, D. Stephenson (Tucson, USA)

A Review of Electronic Devices to Track Medication Adherence in Parkinson’s Disease

H. Bernstein, FE. Godkin, W. Mcilroy, K. van Ooteghem (Waterloo, Canada)

Accelerometry to optimize optical flow measurement of repetitive finger tapping movements: A pilot study

K. Zumaeta, E. Torres, L. Urdiales, A. Ramirez, I. Camargo, B. Castaneda, S. Romero, K. Lizarraga (Lima, Peru)

Accuracy in Detection of Performance of Activities of Daily Living in Subjects with Parkinson’s Disease by Using Inertial Sensors and Decision Tree Classifiers

AI. Perez Sanpablo, J. Quinzanos-Fresnedo, C. Hernandez Arenas, A. Meneses-Penaloza, A. Gonzalez-Mendoza, JC. Castro Padilla, I. Quinones-Uriostegui, V. Bueyes-Roiz, Y. Quijano-Gonzalez, A. Alessi-Montero (Mexico City, Mexico)

Adding environmental context to passive wearable sensor data

D. Hill, T. Tran, T. Le, N. Defranoux, A. Devaux, A. Castillejo, V. Janousek (Grenoble, France)

Anodic prepulses influence the therapeutic window in ET patients

A. Boogers, J. Peeters, W. Vandenberghe, B. Nuttin, M. Mc Laughlin (Leuven, Belgium)

Automatic Estimation of MDS-UPDRS Gait Scores from Videos with Multi-Rater Disagreements

E. Adeli, E. Sullivan, M. Lu, Q. Zhao, L. Montaser Kouhsari, M. Katz, A. Pfefferbaum, K. Pohl, V. Henderson, K. Poston (Stanford, USA)

Building a Data Base for Automatic Speech Recognition in Parkinson’s disease (PD)

L. Ramig, R. Macdonald, P. Jiang, H. Hodges, J. Spielman, O. Reed, E. Nauman, C. Bergey, J. Cattiau (New York, USA)

Closing the gap: How to record valuable data for movement disorders using FHIR

J. Mecklenburg, G. Wenzel, A. Kreichgauer, C. Friedow, AA. Kühn (Berlin, Germany)

Co-designing a meaningful, humane and personalized eHealth platform (eCARE-PD) for people living with Parkinson’s Disease

S. Grosjean, JL. Ciocca, E. Poitras, A. Gauthier-Beaupré, D. Côté, D. Grimes, T. Mestre (Ottawa, Canada)

Comparison of video-instructed and operator-instructed markerless motion analysis with clinical rating-scales in patients with Parkinson’s Disease

J. Bendig, H. Röhling, J. Leidig, A. Spanz, A. Frank, K. Loewenbrück, K. Otte, B. Falkenburger (Dresden, Germany)

Denoising Local Field Potentials from Electrocardiography Artifacts

C. Sannelli, E. Panken, G. Leogrande, S. Stanslaski (Maastricht, Netherlands)

Design and Evaluation of the living lab to assess vCare system “virtual coaching activities for rehabilitation in elderly” in Parkinson´s disease patients

R. Del Pino, M. Diez-Cirarda, M. Caprino, S. Busnatu, V. Nitti, L. Pannese, A. Martínez, E. Sadner, J. Kropf, K. Gand, H. Schlieter, M. Vasile, P. Philipp, M. Lange, L. Nicolas, I. Gabilondo, JC. Gómez-Esteban (Barakaldo, Spain)

Development of quantitative tools for in-home clinical assessment of people with Parkinson’s disease

T. Virmani, L. Pillai, A. Glover, A. Kemp, J. Utecht, H. Spencer, T. Nolan, M. Rutherford, P. Farmer, S. Syed, H. Eswaran, M. Lotia, J. Bona, L. Larson-Prior, F. Prior (Little Rock, USA)

Effect of dopaminergic treatment on digital sensor features in Phase II PASADENA Part 1 in early Parkinson’s disease

B. van Lier, J. Anzures Cabrera, E. Volkova-Volkmar, L. Essioux, H. Svoboda, W. Zago, G. Pagano, R. Postuma, M. Lindemann, K. Taylor, F. Lipsmeier (Basel, Switzerland)

Efficacy of the ankle bracelet-laser to improve gait in Parkinson disease (PD).

P. Ruthiraphong, C. Ratanasutiranont, K. Srisilpa (Bangkok, Thailand)

Evaluating the use of digital biomarkers to test treatment effects on cognition and motor in patients with Lewy Body Dementia

J. Wang, C. Battioui, A. Mccarthy, X. Dang, H. Zhang, A. Man, J. Kyle, L. Munsie, M. Pugh, K. Biglan (Indianapolis, USA)

FEASIBILITY OF A SMARTPHONE-BASED APPROACH TO ACCESS GAIT PARAMETERS AND DETECT FALL RISK IN PARKINSON’S DISEASE

F. Rolim, A. Gomes, E. Barreto, A. Marinho, F. Carvalho (Fortaleza, Brazil)

Feasibility to Detect Parkinson’s Motor Symptoms with a Waist-Worn Parkinson’s Holter

DRM. Rodriguez-Martin, CPL. Perez-Lopez, MP. Pié, JC. Calvet, ACM. Català, JCM. Cabestany, NC. Caballol, AB. Bayés (Cornellà de Llobregat, Spain)

FOG-IT – Towards Personalized Freezing of Gait detection using Artificial Intelligence

B. Filtjens, N. Ghosh, P. Slaets, B. Vanrumste, A. Nieuwboer, P. Ginis (Leuven, Belgium)

Is there a place for virtual support groups for Parkinson’s disease in Africa? Lessons from the Covid-19 pandemic

N. Fothergill-Misbah, J. Price, O. Thomas, J. Okeno, R. Walker, L. Ebenezer (Newcastle Upon Tyne, United Kingdom)

Measures of Physical Activity in Parkinson’s Disease (MAPD)

J. Gilby, C. Carroll, J. Marsden (Plymouth, United Kingdom)

Metadata standards to support deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease (PD)

D. Hill, D. Stephenson, J. Brayanov, K. Claes, R. Badawy, S. Sardar, K. Fisher, S. Lee, A. Bannon, V. Terebaite, R. Bhatnagar (St Pierre Dechartreuse, France)

Multimodal Conversational AI for Remote Patient Monitoring and Analysis of Parkinson’s Disease

V. Ramanarayanan, A. Exner, D. Pautler, S. Snyder, H. Kothare, J. Liscombe, D. Suendermann-Oeft, A. Lambert, R. Kohlmeier, J. Huber (San Francisco, USA)

Normative data for six standardized motor tasks in healthy adults

H. Röhling, K. Otte, R. Rust, B. Behnia, F. Paul, T. Schmitz-Hübsch (Berlin, Germany)

Novel quantitative measures with standardised graphical tasks to objectively assess subtle changes in fine motor skill in diagnosing and monitoring of Parkinson’s disease

R. Zietsma, A. Karki, O. Taylor, A. Deutschlander, R. Walker (Edinburgh, United Kingdom)

Open-Source Tremor Tracking for MR-guided Focused Ultrasound (MRgFUS): An Objective Approach for Monitoring Treatments

S. Siddiq, A. Mogilner, L. Alon (New York, USA)

ParkAI – An AI Based Tool for Detection of Parkinson’s Disease using Vocal Measurements

SJS. Rajasekar, V. Narayanan, V. Perumal (Melmaruvathur, India)

Parkinson’s Disease Functional Impacts Digital Instrument (PD-FIDI): Studies Preceding Clinical Validation

A. Pearlmutter, N. Wong, M. Levin, R. Zheng, R. Ellis, P. Kelly, M. Peterschmitt (Cambridge, USA)

Pilot study to assess gait-related motor symptoms in Parkinson’s disease by using a unique passive monitoring wearable technology

G. Monneret, D. Jacobs, L. Farid, A. Post, C. Moreau, G. Baille (Paris, France)

PKG for the management of advance Parkinson’s Disease

S. Duja (Dudley, United Kingdom)

Quantitative gait analysis using a pose-estimation algorithm with a single 2D-video of PD patients

JH. Shin, R. Yu, JN. Ong, CY. Lee, SH. Jeon, HP. Park, HJ. Kim, JH. Lee, B. Jeon (Seoul, Republic of Korea)

Satisfaction Survey on a Parkinson’s Holter, a Medical Device for the Monitoring of Motor Symptoms

DRM. Rodriguez-Martin, CPL. Perez-Lopez, MP. Pié, JC. Calvet, ACM. Català, ARM. Rodríguez-Molinero, JCM. Cabestany (Cornella Llobregat, Spain)

Shank range of motion as a measure of gait impairment in TUG test

G. Rigas, N. Kostikis, N. Tachos, K. Tsamis, M. Tsiknakis, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

Sleep assessment with Fitbit4 in Parkinson’s disease

S. Diaconu, L. Ungureanu, R. Rancz, B. Ciopleiaș, L. Irincu, I. Ivan, C. Falup-Pecurariu (Brasov, Romania)

Slow Motion Analysis of Repetitive Tapping (SMART) test: measuring of bradykinesia in recently diagnosed Parkinson’s disease and idiopathic anosmia

C. Simonet, M. Galmes, C. Lambert, R. Rees, T. Haque, J. Bestwick, A. Lees, A. Schrag, A. Noyce (London, United Kingdom)

Spinal orthosis in antecollis and PISA syndrome in Parkinson.

N. Batasuk, P. Ruthiraphong (Bangkok, Thailand)

Technology use in Parkinson’s disease and parkinsonism: a multicenter survey in real-life Healthy East Lombardy Parkinson (HELP-)network

A. Pilotto, S. Nocivelli, D. Alimenti, J. Melgari, M. Bianchi, V. de Giuli, A. Magherini, M. Rizzeti, F. Pisano, T. Di Monda, M. Gennuso, S. Gipponi, E. Cottini, A. Imarisio, S. Masciocchi, B. Bagni, E. Magni, M. Sessa, M. Turla, B. Ferraro, P. Trippa, A. Prelle, A. Ciccone, A. Padovani (Brescia, Italy)

Technology-based adaptation of a natural history study of Parkinson disease during the COVID-19 pandemic

S. Jensen-Roberts, E. Waddell, T. Myers, M. Pawlik, J. Soto, A. Sarkar, M. Coffey, E. Stevenson, R. Wilson, E. Dorsey, K. Lizarraga, C. Tarolli, R. Schneider, J. Adams (Rochester, USA)

The feasibility and efficacy of virtual visits compared to in-person visits for follow up in Parkinson´s disease: methodology for an international, multicenter trial (NCT04695353).

JH. Ahn, J. Youn, O. Ojo, N. Okubadejo, A. Shalash, A. Cardozo, Z. Aldaajani, J. Bajwa, M. Dekker, á. Bustillo, E. Eldayem, M. Shackleford, M. Spindler, Z. Mari, E. Cubo (Seoul, Republic of Korea)

Using Machine Learning to Predict the Best Outcomes with Electrical Muscle Stimulation for Tremors in Parkinson’s Disease

O. Phokaewvarangkul, P. Vateekul, I. Wichakam, C. Anan, R. Bhidayasiri (Bangkok, Thailand)