2022 International Congress » Technology

A precompetitive consortium approach to designing a qualitative study to generate content validity evidence to support the use of digital health technologies among people with early Parkinson’s disease

R. Speck, J. Mammen, P. Yang, S. Jensen-Roberts, M. Kostrzebski, R. Dorsey, M. Müller, J. Cosman, J. Hellsten, J. Crawford, G. Stebbins, J. Cedarbaum, T. Simuni, T. Dam, K. Ward Barowicz, D. Stephenson, J. Adams (Tucson, USA)

A progress update on the Critical Path for Parkinson’s consortium’s pre-competitive 3DT initiative

M. Müller, J. Cosman, J. Adams, R. Badawy, R. Bhatnagar, B. Bloem, C. Carroll, N. Cooray, T. Dam, D. Dexter, M. Dockendorf, R. Dorsey, M. Frasier, L. Garcia-Gancedo, D. Hill, M. Kostrzebski, E. Kunka, M. Lindemann, J. Mammen, M. Meinders, A. Mirelman, G. Roussos, S. Sardar, T. Simuni, R. Speck, G. Stebbins, K. Ward Barowicz, J. Cedarbaum, D. Stephenson (Tucson, USA)

A user experience evaluation of a Huntington’s disease app: Implications for mobile-first design

E. Wagner, E. Waddell, E. Dorsey, J. Adams (Rochester, USA)

Automated error detection when applying the protocol for the monitoring of motor function in patients with Parkinson’s disease using smartwatches.

L. Sigcha, JM. Cermeño, MB. Domínguez, I. Pavón, JC. Matínez, JM. López, G. de Arcas (Madrid, Spain)

Automated scoring of REM sleep without atonia using the open-source software RBDtector

CEJ. Doppler, A. Röthenbacher, N. Okkels, N. Willemsen, N. Sembowski, AD. Seger, M. Lindner, C. Brune, S. Bialonski, P. Borghammer, GR. Fink, M. Schober, M. Sommerauer (Köln, Germany)

Changes in gait and mobility measures collected in daily living conditions, in different stages of Parkinson’s disease

N. Geffen, K. Cohavi, N. Giladi, A. Thaler, R. Alcalay, J. Edgerton, J. Shirvan, J. Cedarbaum, J. Hausdorff, A. Mirelman (Tel Aviv, Israel)

Characteristics and validity of technologies analyzing voice features to assess symptoms – a review

J. Dean, V. Iankova Md, S. Schneider (Aurora, USA)

Classification of extremity movements by visual observation of signal transforms

J. Brasic, L. Ziegelman, T. Kosuri, H. Hakim, L. Zhao, A. Gokce, K. Mathur, M. Hernandez, K. Mills (Baltimore, USA)

Clinical, environmental, and Technology-based gait measures in PD patients from a rural area in southwestern Colombia: a case-control pilot study

B. Muñoz-Ospina, H. Clavijo-Moran, D. álvarez-García, A. Navarro Cadavid, I. F Mata, J. Orozco Velez (Cali, Colombia)

Clinically interpretable severity estimation of facial expression impairment in Parkinson’s disease

Y. Dushin, G. Morinan, G. Sarapata, J. O'Keeffe (London, United Kingdom)

Computer vision can detect changes in bradykinesia associated with dopaminergic state in Parkinson’s disease

JF. Martín-Rodríguez, S. Camba Fernandez, D. Rodriguez Gordo, S. Garcia-Ojeda, B. Benitez Zamora, L. Muñoz-Delgado, F. Carrillo, P. Mir (Sevilla, Spain)

Deep learning to distinguish Parkinson’s from controls in video, without human-defined measures

J. Yang, S. Williams, D. Hogg, J. Alty, S. Relton ()

Detecting Parkinson’s Disease from body limb acceleration using machine learning and a frequency-domain analysis

C. Cermeño-Silveira, JI. Godino-Llorente, A. Muñoz-Gonzalez, J. Perez-Sanchez, M. Gonzalez-Sanchez, F. Grandas-Perez, D. Torricelli (Madrid, Spain)

Detection and Analysis of Spatio-Temporal Variables of Parkinsonian Gait Using PODOSmart® Insoles

E. Ziagkas, A. Loukovitis, S. Bostantjopoulou, Z. Katsarou, G. Grouios (Thessaloniki, Greece)

Detection of Parkinson’s Disease by Analysis of Smooth Pursuit Eye Movements and Machine Learning

M. Bejani, E. Luque-Buzo, J. Gomez-García, A. Burlaka-Petrash, F. Grandas, J. Godino-Llorente (Madrid, Spain)

Effects of Virtual Reality Immersion Level on Exercise Intensity and Motivation for Persons with Parkinson Disease

J. Palmieri, R. Gallagher, J. Donoghue, N. Volino, H. Damodaran, J. Deutsch (Newark, USA)

Exploring the morning akinesia in Parkinson’s disease with the wearable sensor STAT-ON

N. Caballol, C. Pérez-López, A. Pérez-Soriano, A. Planas-Ballvé, A. ávila, P. Quispe, A. Bayés (Sant Joan Despí, Spain)

Feasibility of using mobile technology for aerobic exercise management in people with Parkinson’s disease

MKY. Mak, LJ. Ren, ISK. Wong-Yu (Hong Kong SAR, China)

Gait analysis using Wearable Sensors: different gait metrics can differentiate Parkinson’s Disease Patients from Healthy Controls and Parkinson’s Disease patients in different medication status

R. Barbosa, M. Medonça, R. Oliveira, M. Santos, A. Abreu, P. Bastos, P. Pita-Lobo, A. Valadas, L. Correia-Guedes, J. Ferreira, M. Rosa, R. Matias, M. Coelho (Lisbon, Portugal)

Gait under unsupervised, but not supervised conditions, differentiates between Parkinson disease with and without fatigue

A. Rizzardi, A. Pilotto, C. Hansen, C. Zatti, G. Bonzi, R. Romijnders, W. Maetzler, A. Padovani (Brescia, Italy)

Gold and silver nanoparticle-based Localized Surface Plasmon Resonance Sensor (LSPR) for the detection of histidine as a potential biomarker in Parkinson’s Disease.

E. Robles, C. Acevedo-Castillo, D. Martínez-Ramírez (Monterrey, Mexico)

Hidden effects of COVID-19 pandemic on Parkinson’s Disease: a telemedicine survey

V. Tommasini, C. Bertolotti, M. Catalan, P. Polverino, L. Antonutti, G. Bellavita, A. Cucca, M. Liccari, P. Manganotti (Trieste, Italy)

How does head tremor in cervical dystonia change with head position?

J. Vu, E. Cisneros, J. Zhao, J. Jankovic, S. Factor, C. Goetz, R. Barbano, J. Perlmutter, H. Jinnah, S. Pirio Richardson, G. Stebbins, R. Elble, C. Comella, D. Peterson (La Jolla, USA)

Improving the patient self-awareness of the first motor fluctuations in early Parkinson’s disease with a wearable sensor

N. Caballol, A. Pérez-Soriano, A. Planas-Ballvé, A. ávila, P. Quispe, A. Bayés (Sant Joan Despí, Spain)

International Telemedicine during COVID-19 Pandemic in an Academic Movement Disorder Clinic

N. Beltre, I. Haq, C. Luca, J. Margolesky, H. Paul, C. Singer, D. Shpiner (Miami, USA)

Intraoperative quantification of MDS-UPDRS tremor measurements using 3D accelerometry

A. Smid, J. Elting, J. van Dijk, E. Otten, D. Oterdoom, K. Tamasi, T. Heida, T. van Laar, G. Drost (Groningen, Netherlands)

Invisible DBS-lead fixation using a patient-specific burr-hole cover

L. Stieglitz (Zurich, Switzerland)

Long-term wearable tele-rehabilitation of gait for persons with Parkinson’s disease: A feasibility study

G. Lopane, M. Corzani, I. D'Ascanio, V. Petrone, M. Contin, G. Calandra Buonaura, P. Cortelli, F. La Porta, M. Brozgol, N. Giladi, PC. Thumm, JM. Hausdorff, L. Chiari, L. Palmerini (Bologna, Italy)

Machine learning supervised classification study for Parkinson`s disease progression through graph-based feature selection method

V. Rama Raju, G. Ramaraju, V. Ramaraju (hyderabad, India)

Meta-optimization to select stimulation settings for deep brain stimulation in Parkinson’s disease

M. Connolly, F. Isbaine, J. Willie, R. Gross, A. Devergnas, S. Miocinovic (Atlanta, USA)

Monitoring local field potentials recorded after implant surgery from deep brain stimulation leads in the subthalamic nucleus using a sheep animal model

M. Case, C. Zarns, S. Stanslaski (Minneapolis, USA)

Need for personalized monitoring in Parkinson’s disease: the perspectives of patients and specialized healthcare providers

L. Evers, B. Bloem, M. Meinders (Nijmegen, Netherlands)

Patient and caregiver satisfaction of video-assisted telenursing in patients treated with LCIG

T. Gurevich, A. Evans, G. Kägi, D. Koziorowksi, L. Bergmann, JC. Parra Riaza, O. Sanchez-Soliño, J. Slawek (Tel Aviv, Israel)

PD+: A comprehensive, user-friendly mobile application for clinicians treating Parkinson’s Disease

E. Shah, T. Khachatryan, N. Phielipp, S. Isfahani (Orange, USA)

Perceive: A data extraction and analysis toolbox for brain signals from sensing enabled deep brain stimulators

WJ. Neumann (Berlin, Germany)

Perceptions of persons with Parkinson’s disease towards telemedicine as an alternative mode of consultation: An International Pre-Implementation Survey

O. Ojo, N. Okubadejo, J-H. Ahn, J. Youn, A. Shalash, E. Hamid, A. Cardozo, A. Garcia-Bustillo, Z. Mari, M. Spindler, E. Cubo (Idi-araba, Nigeria)

Physician satisfaction from continuous telemonitoring in Parkinson’s disease

A. Ntanis, G. Rigas, K. Tsamis, A. Tsakanika, F. Kanellos, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

Preliminary Verification of a Kinect-based System for Evaluating Postural Abnormalities in Patients with Parkinson’s Disease

RH. Hong, Z. Wu, TY. Zhang, ZY. Zhang, XY. Su, Y. Jin, YC. Gao, LZ. Pan, HP. Zhi, Q. Guan, LJ. Jin (Shanghai, China)

Pressure Sensor Insole Gait Assessment for Parkinson’s Disease patients: A pilot study

Z. Kefalopoulou, C. Chatzaki, V. Skaramagkas, E. Chroni, N. Tachos, DI. Fotiadis, M. Tsiknakis (Patras, Greece)

Programming Time and the Use of a Visualization Tool for DBS Programming of a Multiple­-Source, Constant-Current System

J. Aldred, T. Zesiewicz, M. Okun, J. Ramirez-Castaneda, L. Verhagen-Metman, C. Luca, R. Ramdhani, J. Durphy, Y. Bezchlibnyk, K. Foote, S. Sani, A. Papanastassiou, J. Carlson, J. Jagid, D. Weintraub, J. Piltitsis, Y. Pei, R. Jain (Spokane, USA)

Real-world evidence and feasibility of telemedicine for Parkinson’s disease

G. Rigas, N. Kostikis, N. Tachos, E. Kontogiannis, E. Kostoulas, A. Bousis, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

Real-world sit-to-stand evaluation

C. Morgan, A. Masullo, H. Isotalus, E. Tonkin, M. Mirmehdi, F. Jovan, T. Whone, G. Oikonomou, R. Mcconville, G. Tourte, K. Kinnunen, I. Craddock (Bristol, United Kingdom)

Reducing corticospinal excitability with transcranial static magnetic field stimulation

C. Pagge, G. Foffani, A. Oliviero, C. Ammann (Móstoles, Spain)

Remote Assessment of Tremor using Wearable Sensors in Parkinson’s Disease Research

M. Pawlik, K. Dinesh, S. Jensen-Roberts, E. Waddell, T. Myers, J. Soto, E. Hartman, E. Nnadika, P. Yang, R. Yuan, G. Sharma, R. Wilson, K. Lizarraga, C. Tarolli, R. Schneider, R. Dorsey, J. Adams (Rochester, USA)

Telemedicine in a Himalayan country: unlocking the barrier in the management of Parkinson’s Disease

R. Ojha, B. Gajurel, R. Karn, R. Rajbhandari, G. Nepal, J. Yadav, P. Joshi (Kathmandu, Nepal)

The integration of technology into a home-based visuo-cognitive training intervention for people with Parkinson’s: a theory-informed qualitative study.

J. Das, G. Barry, R. Walker, R. Vitorio, R. Morris, S. Stuart (Newcastle upon Tyne, United Kingdom)

The use of artificial intelligence-based chatbot in Parkinson’s disease

G. Oyama, M. Ogawa, K. Morito, M. Kobayashi, Y. Yamada, K. Shinkawa, H. Kamo, T. Hatano, N. Hattori (Tokyo, Japan)

Towards a Machine Learning Based Classification System for Hyperkinetic Movement Disorders: Generating a Neurophysiological Feature Set

E. V.D. Brandhof, S. V.D. Veen, G. Russo, I. Tuitert, J. Dalenberg, M. V.D. Stouwe, J. Elting, M. Biehl, M. de Koning-Tijssen (Groningen, Netherlands)

Turning during single and dual tasking in Parkinson’s Disease

E. Bianchini, E. Warmerdam, R. Romijnders, J. Hoffmann, G. Schmidt, F. Pontieri, C. Hansen, W. Maetzler (Rome, Italy)

TWO-DIMENSIONAL SMOOTH PURSUIT TESTS FOR EARLY PARKINSON’S DISEASE IDENTIFICATION

E. Luque-Buzo, A. Burlaka-Petrash, J. Gómez-García, M. Bejani, M. Del Valle-Loarte, F. Grandas, J. Godino-Llorente (Madrid, Spain)

Use of a wearable medical device for LCIG tube adjustment: a user case

JHR. Herreros Rodríguez, AEL. Esquivel López, JP. Romero Muñoz, M. Llaguno Velasco (Madrid, Spain)

Use of virtual reality devices for the monitoring of Parkinson’s disease

S. Hirczy, M. Salinas (Dallas, USA)

Validating a virtual Timed Up and Go (vTUG) test in Parkinson’s Disease.

C. Matthews, R. Roberts, E. Davies, B. Falkenburger, M. Grobe-Einsler (Wrexham, United Kingdom)

Validation of fully automated tremor analysis on common videos based on Computer Vision.

R. Wolke, J. Welzel, D. Brinker, G. Deuschl, J. Becktepe (Kiel, Germany)

WATCH-PD: Baseline Phenotype and Longitudinal Digital Assessments in Early PD

T. Kangarloo, E. Dorsey, P. Auinger, D. Volfson, J. Padmanabhan, B. Tracey, RS. Latzman, P. Artoni, Y. Gong, A. Best, J. Severson, D. Anderson, M. Kostrzebski, A. Stevenson, P. Wilmot, Y. Pohlson, J. Cosman, K. Praneeth Kilambi, J. Edgerton, J. Adams (Cambridge, USA)

WATCH-PD: Detecting Early-Stage PD using Feature Engineering and Machine Learning in Remote Sensor-Based Assessments

D. Anderson, M. Merickel, B. Severson, D. Amato, T. Kangarloo, J. Edgerton, R. Dorsey, J. Adams, S. Jezewski, A. Keil, S. Johnson, M. Kantartjis, S. Polyak, J. Severson, J. Cosman (Horsham, USA)