2024 International Congress » Technology

A Conversational GPT Agent for Parkinson’s Disease

B. Várkuti, L. Manola, M. Atayi, L. Liemen, G. van Elswijk, F. Lange, M. Reich, L. Erōss, M. Okun, J. Volkmann (München, Germany)

A Device Agnostic Pipeline for Gait Detection and Assessment in Free-living and Clinical Environments

B. Cornish, K. Beyer, K. Weber, A. Vert, K. van Ooteghem, W. Mcilroy (Waterloo, Canada)

A non-linear index can detect early postural instability in people with Parkinson’s disease: Enhancing perspectives on the utilization of cost-effective technologies.

G. Santos, M. D'Alencar, A. Frazão, A. Roque, J. Vivas, M. Piemonte (São Paulo, Brazil)

A Scoping Review of Epidural Spinal Cord Stimulation in the Treatment of Multiple Movement Disorder Symptoms

D. Megan, J. Kramer, L. Venkatesan (Harrogate, United Kingdom)

Acceptability and user experience of the electronic versions of the MDS-UPDRS and MDS-NMS scales

M. Monje, R. Fuller, T. Turner, L. Chahine, K. Dujardin, C. Fitzer-Attas, S. Groppa, S. Perez-Lloret, J. Youn, S. Ali, P. Martinez-Martin, G. Stebbins, T. Mestre, A. Sánchez-Ferro (Chicago, USA)

Acceptability of Digital Health Technologies in Early Parkinson’s Disease

T. Kangarloo, R. Latzman, J. Adams, E. Dorsey, M. Kostrzebski, D. Anderson, F. Horak, D. Stephenson, J. Cosman (Cambridge, USA)

Advancing Interpretability in Parkinson’s Disease Voice Analysis: A Multilingual AI Approach

M. Wójcik-Pędziwiatr, M. Zakrzewski, M. Wodziński, J. Orozco-Arroyave, E. Nöth, M. Rudzińska-Bar, D. Sztaho, T. Rumezak, D. Hemmerling (Kraków, Poland)

AI-Powered Eyewear for Routine Facial Expression Analysis in Parkinson’s Disease: Study design and goals

H Y. Ooi, C. Zhang, K. Li, J. Narins, H. Sarva (New York, USA)

Artificial Intelligence and Visual Analysis of Movements in Parkinson’s Disease

T. Okelberry, H. Beisar, S. Horev, E. Pinchuk, K. Lyons, R. Pahwa (Kansas City, USA)

Artificial Intelligence Opportunities for Diagnostics of Dementia via Speech (Brainphone Project)

I. Khasanov, D. Khasanova (Kazan, Russian Federation)

Automatic detection of Freezing of gait in Parkinson’s disease with IMU: validation of a deep learning algorithm in the home.

M. Goris, P. Yang, P. Ginis, B. Filtjens, B. Vanrumste, A. Nieuwboer, M. Gilat (Leuven, Belgium)

Balancing Act: Smartphone Data and Machine Learning in Movement Disorder Classification

S. Macneille, A. Kostic, A. Chu, J. Daneault (Newark, USA)

Baseline Data of the Mobilise-D Parkinson Cohort

W. Maetzler, JM. Hausdorff, H. Gaßner, C. Hansen, A. Mirelman, L. Alcock, P. Brown, C. Becker, J. Garcia-Aymerich, L. Cordova-Rivera, P. Ginis, H. Hunter, I. Neatrour, J. Winkler, J. Kudelka, H. Hildesheim, M. Gordon, P. Goerrissen, B. Caulfield, M. Long, C. Schlenstedt, A. Nieuwboer, L. Rochester, AJ. Yarnall (Kiel, Germany)

Can Technology Improve Service Delivery and Patient Outcomes in a Parkinson’s Speech and Language Therapy Clinic?

C. Meskill, C. Bartliff, J. O'Loughlin (Cork, Ireland)

Characterization of Muscle activity before and during Freezing of Gait Episodes

E. Jafari, S. Pardoel, A. Alakhras, J. Kofman, E. Lemaire, J. Nantel (Ottawa, Canada)

Codesigning Tech with Patients – Insights from the Quantitative and Qualitative Analysis of Three Technologies used in Patients With Parkinson’s Disease

D. Pérez-Rangel, M. H.G. Monje, S. Grosjean, M. Srp, L. Antunes, R. Bouça-Machado, R. Cacho, S. Domínguez, J. Inocentes, T. Lynch, A. Tsakanika, D. Fotiadis, G. Rigas, E. Ruzicka, J. Ferreira, A. Antonini, N. Malpica, T. Mestre, A. Sánchez-Ferro (Madrid, Spain)

Comparative Analysis of GAITRite and Moticon Digital Insoles for Gait Assessment in Parkinson’s Disease Patients Before and After Levodopa Administration

R. Acosta, B. Kuyani, S. Stuart, A. Avbersek, P. Rai, S. Mishra, K. Kwei, D. Hall, N. Desai, S. Hamon, J. Urbanek, R. Alaj, O. Harari, M. Wipperman, O. Levy (Tarrytown, USA)

Continuous Monitoring of Hypomimia in Parkinson’s disease using a Sensor-equipped Cap

A. Wiederhold, C. Gundler, EM. Lange, F. ückert (Hamburg, Germany)

Creating myPPMI: an Online Portal to Deliver Study Participant Content

C. Stanley, J. Talarico, C. Fitzgerald, C. Destro, M. Mcguire Kuhl, J. Schulze, L. Heathers, E. Flagg, B. Mcmahon, T. Foroud, T. Tropea, K. Fabrizio, K. Marek (New Haven, USA)

Determining the Direction of segmented DBS Micro Electrodes through the EEG

K. Balmuri, V. Rama Raju (Hyderabad, India)

Determining the optimal filtering method for the removal of gait-related movement artefacts from EEG acquired from People with Parkinson’s Disease

B. Wijntjes (Dublin, Ireland)

Developing Composite Digital Measures for Tracking Parkinson’s Disease (PD) Progression using a Comprehensive Machine Learning-based Framework

S. Zhai, J. Ren, J. Shen, S. Chatterjee, Y. Xu, A. Liaw, V. Svetnik, O. Patil, ER. Dorsey, J. Adams, M. Dockendorf, R. Baumgartner (Rahway, USA)

Digital health technology (DHT) derived features as sensitive measures of disease progression in early Parkinson’s disease under stable dopaminergic treatment

F. Lipsmeier, S. Lambrecht, S. Fraessle, Y. Gazizova, D. Kwasny, P. Wacht, B. Fehlmann, T. Kustermann, M. Lindemann, W. Popp, K. Taylor, R. Postuma (Basel, Switzerland)

Distinguishing Parkinson’s disease from atypical Parkinsonian syndrome using multistage deep learning based on dopamine transporter imaging

JS. Park, JY. Gwak (Busan, Republic of Korea)

Efficiency of AI-Based Service for Screening Diagnostics of Parkinson’s Disease (Brainphone Project)

D. Khasanova, I. Khasanov, Z. Zalyalova (Kazan, Russian Federation)

eHealth – an Opportunity for personalized Care? – Healthcare Professionals’ Technology Acceptance in the Care of Parkinson’s Patients

J. Stuempel, J. Hohn, V. Fleckenstein, K. Steidel, C. Münte, D. Pedrosa (Marburg, Germany)

eHealth Technologies for People with Parkinson’s: Acceptance & Implications

J. Stuempel, V. Fleckenstein, J. Hohn, K. Steidel, C. Münte, D. Pedrosa (Marburg, Germany)

Empower-PD: “An Exploratory Investigation of Accelerometer Data on Parkinson’s Patients’ Motor Symptoms and the Correlation with Quality of Life.”

M. Hansen, B. Sørensen, T. Thomsen, N. Karottki (Copenhagen, Denmark)

Enhancing Real-Life Gait Performance in Persons with Parkinson Disease through the Music-Based BeatWalk Application

A. Bourdon, V. Cochen, B. Bardy, L. Damm (France, France)

Evaluating Adaptive Devices to Assist Eating in Essential Tremor Patients: A Comparative Analysis

K. Adabi, W. Ondo (Houston, USA)

Examining and contextualizing free-living heart rate using multiple wearable sensors: a potential approach for assessing autonomic dysfunction in Parkinson’s disease?

FE. Godkin, K. van Ooteghem, K. Ehgoetz Martens, K. Weber, B. Cornish, K. Beyer, D. Olszewska, C. Fearon, A. Lang, R. Swartz, M. Masellis, B. Tan, J. Tung, A. Roberts, W. Mcilroy (Waterloo, Canada)

Free-living digital mobility outcomes in Parkinson’s disease patients with and without freezing of gait: what can they tell us?

P. Ginis, E. Gazit, C. Schlenstedt, H. Gassner, C. Hansen, A. Mirelman, L. Alcock, C. Becker, J. Aymerich, L. Rivera, C. Kirk, H. Hunter, I. Neatrour, J. Kudelka, H. Hildesheim, P. Goerrissen, M. Gordon, L. Delgado, B. Caulfield, M. Long, M. Gilat, L. Rochester, A. Yarnall, W. Maetzler, J. Hausdorff, A. Nieuwboer (Leuven, Belgium)

Gait and turning during daily life across the spectrum of normal, prodromal, early and moderate Parkinson’s disease

M. Mancini, V. Shah, P. Burgos, P. Carlson-Kuhta, L. Talman, M. Lim, J. Quinn, F. Horak (Portland, USA)

Gender specificity in AI-Based Screening Diagnostics of Parkinson’s Disease (Brainphone Project)

D. Khasanova, I. Khasanov, G. Ilina, Z. Zalyalova (Kazan, Russian Federation)

Get Ready a mobile phone app a solution for patient engagement/remote management

R. Mills, M. Gibbs, N. Pavese, D. Ledingham, A. Hussain, A. Jenkins, C. Nicholson (Newcastle, United Kingdom)

Haptics’ use in extended reality environments for Parkinson disease: A systematic review

L. Ali, C. Lella, G. Giuliano, R. Di Fuccio (Napoli, Italy)

Hierarchical Machine Learning Classification of Parkinsonian Disorders using Saccades

O. Bredemeyer, S. Patel, J. Fitzgerald, C. Antoniades (Oxford, United Kingdom)

How many days are required to reliably estimate diverse digital mobility outcomes from various gait domains with a lower back sensor in people with Parkinson’s disease?

E. Gazit, J. Garcia-Aymerich, J. Buekers, S. Del Din, A. Mueller, W. Maetzler, A. Yarnall, C. Schlenstedt, A. Nieuwboer, A. Mirelman, H. Gassner, D. Singleton, B. Vereijken, L. Rochester, JM. Hausdorff (Tel aviv, Israel)

Identification of Fall Risk in Patients with Parkinson’s Disease Through Telemonitoring

F. Kanellos, G. Rigas, A. Ntanis, N. Kostikis, S. Kontaxis, L. Liouta, C. Tsitsou, S. Konitsiotis (Ioannina, Greece)

Initiation of AT-HOME PD2, a Remote Observational Study of Parkinson’s Disease Clinical Trial Participants

R. Schneider, A. Hoyt, R. Wilson, S. Mahes, C. Stevens, C. Tarolli, J. Adams, B. Valdovinos, K. Lizarraga, P. Auinger, S. Benvengo, M. Monje, E. Macklin, D. Weintraub, K. Biglan, A. Ascherio, A. Espay, C. Tanner, D. Novak, J. Beck, I. Shoulson, T. Simuni, S. Sieberts, E. Dorsey, M. Schwarzschild (Rochester, USA)

Is the sebum RNA transcriptome analysis technique capable of non-invasively diagnosing Parkinson’s disease?

T. Iseki, Y. Ueda, T. Kuwano, T. Inoue, S. Saiki, N. Hattori (Bunkyo-ku, Japan)

MDS PD e-Diary – a New Patient-Centered Digital Tool for People with Parkinson’s Disease

P. Rábano-Suárez, MHG. Monje, JA. Vizcarra, SS. Paul, S. Avión, M. Morse, M. Skorvanek, MHS. Tosin, R. Fuller, TH. Turner, M. Dekker, DA. Hall, K. Bergmann, J. Cedarbaum, W. Maetzler, AJ. Espay, P. Martínez-Martín, GT. Stebbins, T. Mestre, A. Sánchez-Ferro (Madrid, Spain)

Measuring Motor Improvement with a Wearable Device in a Parkinson Disease Patient undergoing Subcutaneous Levodopa Carbidopa Infusion

N. Lopez Ariztegui, MI. Morales Casado, G. Tabar Comellas (TOLEDO, Spain)

Medication Effects on Bradykinesia and Tremor in Parkinson’s Disease, Measured by Wearable Sensors

R. Weijer, A. Szanto, V. Exadaktylos, J. van Hilten, D. Hepp (Leiden, Netherlands)

Model-Based Gait Outcomes to Track Parkinson’s Disease Progression ?

CE. Mvomo, J. Bedime, S. Perfetto, I. Sierra, H. Lajeunesse, A. Potvin-Desrochers, CA. Easthope, C. Paquette (Montreal, Canada)

Motor Onset of Parkinson’s disease: the proximal limbs are first

MA. Ruiz Yanzi, M. Matarazzo, T. Jiménez-Castellanos, JA. Pineda-Pardo, MHG. Monje, A. Sánchez-Ferro, C. Gasca-Salas, R. Martínez-Fernández, JA. Obeso (Madrid, Spain)

Optimal measuring height and validation of 2D-LiDAR based analysis system for spatiotemporal gait parameters

S. Woo, C. Shin, MY. Kim (Daegu, Republic of Korea)

Performance of a Smartphone-based Oculomotor Test as a Diagnostic Tool for Parkinson’s Disease

C. Edwards, A. Zirra, IA. John, A. Bogucki, R. Torricelli, J. Kenny, S. Ganesh, K. Dey, T. Haque, D. Gallagher, C. Budu, C. Simonet, M. Wlodarski, J. Neffendorf, R. Chrapkiewicz, SG. Manohar, AJ. Noyce (London, United Kingdom)

Physical activity in patients with atypical parkinsonian syndromes – Collection of real-world data

V. Sidoroff, G. Prigent, H. Moradi, S. Sapienza, F. Krismer, K. Seppi, J. Ndayisaba, F. Jagusch, H. Humer, P. Bachmann, B. Eskofier, J. Winkler, I. Teckenurg, M. Asalian, J. Klucken, A. Ionescu, D. Benninger, H. Gaßner, G. Wenning, K. Aminian, C. Raccagni (Innsruck, Austria)

Prediction of falls in PD over 5 years using kinematic data and machine learning

C. Sotirakis, M. Brzezicki, S. Patel, J. Fitzgerald, N. Conway, C. Antoniades (Oxford, United Kingdom)

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

G. Karamanis, V. Skaramagkas, I. Boura, C. Chatzaki, E. Chroni, D. Fotiadis, C. Spanaki, M. Tsiknakis, Z. Kefalopoulou (Patras, Greece)

Reliability of Digital Measures in Parkinson’s Disease and Their Implications for Sample Size Calculations

J. Lavine, A. Scotina, S. Haney, E. Izmailova, L. Omberg (New York, USA)

Reliability of real-world walking activity and gait assessment in people with Parkinson’s disease – how many hours and days are needed?

J. Buekers, J. Marchena, S. Koch, J. Lemos, J. Cherdova, C. Becker, T. Bonci, J. Braun, B. Caulfield, A. Frei, E. Gazit, J. Hausdorff, A. Mirelman, S. Del Din, L. Alcock, A. Yarnall, C. Jansen, M. Long, B. Sharrack, D. Singleton, C. Schlenstedt, W. Maetzler, H. Gassner, A. Ionescu, P. Ginis, A. Nieuwboer, L. Rochester, J. Garcia-Aymerich (Barcelona, Spain)

Role of Telemedicine- Versus Outpatient-Based Initiation And Management of Atkins Diet Therapy In Postmenopausal Women With Drug-Resistant Parkinson’s Disease During The COVID-19 Pandemic

M. Sharma, S. Sinha (Pimpri, India)

Sex differences of gait at self-determined speed in neurodegenerative parkinsonism

F. Jagusch, V. Sidoroff, G. Prigent, H. Moradi, S. Sapienza, JP. Ndayisaba, F. Krismer, H. Humer, P. Bachmann, K. Seppi, I. Teckenburg, M. Asalian, D. Benninger, BM. Eskofier, J. Winkler, J. Klucken, H. Gassner, A. Ionescu, K. Aminian, C. Raccagni, GK. Wenning (Innsbruck, Austria)

SMaRT-PD: A Clinical Decision Support System for the Management of Parkinson’s Disease

K. Bounsall, K. Hammett, N. Stapleton, R. Hunneman, J. Inches, M. Humphries, J. Warner, S. Bray, E. Meinert, C. Carroll (Plymouth, United Kingdom)

Smartwatch-Based Screening to Identify Candidates for Deep Brain Stimulation in Parkinson’s Disease

R. Fadil, B. Walter, G. Kuhlman, S. Zaidi, D. Heldman (Cleveland, USA)

Speech Analysis and Machine Learning can Aid in Identifying Different Neurological Disorders

A. Sastre, A. Vaziri, R. Mishra, A. Geronimo, Z. Simmons, J. Adams, A. Pantelyat, A. Wills (Newton, USA)

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across two Languages

J. Tröger, E. Baykara, F. Dörr, J. Rusz, J R. Orozco-Arroyave (Saarbrücken, Germany)

Speech Processing System for Parkinson’s Disease Using Mixed Reality

M. Wójcik-Pędziwiatr, M. Dudek, W. Skibicka, M. Rudzińska-Bar, M. Danioł, P. Jemioło, J. Stępień, D. Hemmerling (Cracow, Poland)

Study of Wearable Technology And Geo-Fencing Device for Quantification of Freezing of Gait And Sleep Pattern In Dystonia Patients In Gurugram City, India

V. Sharma, M. Gautam (Agra, India)

TeleHD: Feasibility, Validity and Value of Telemedicine in Huntington Disease

J. Deliz, N. Lancki, D. Larson (CHICAGO, USA)

The Current State of Wearable Device Use in Parkinson’s Disease (A Survey of Individuals with Parkinson’s and Specialist Clinicians)

S. Hirczy, Y. Lin, C. Zabetian (Seattle, USA)

The development of an electronic motor symptoms diary for Parkinson’s disease using qualitative patient insights

B. Byrom, M. Pereira, P. Reksoprodjo, L. Fredane, R. Hauser (Blue Bell, USA)

The Feasibility and Practical utility of Virtual Visits for Patients with Parkinson’s disease in Different World Regions

A. Garcia-Bustillo, J. Youn, J. Hyeon, L. Oyatoye, N. Okubadejo, A. Shalash, Z. Aldaajani, A. Cardozo, M. Spindler, Z. Mari, M. Essan, E. Cubo (Burgos, Spain)

The novel Gait Cycle Detection Network (GCDN) for Video based gait Analysis based on single 2D RGB video

DY. Kim, R. Yu, YS. Lee, YK. Kim, JH. Shin, C. Hansen, W. Maetzler (Suwon, Republic of Korea)

The study of evaluating the impact of simulating indoor environments using virtual reality on gait in Parkinson’s Disease

K. Seo, S. Emoto, K. Abe, T. Ishii, M. Miki, M. Hara, T. Yamamoto (Saitama, Japan)

The Use of Biometric Feedback Devices for Stratification of Deep Brain Stimulation (DBS) Eligibility and Treatment Response in Parkinson Disease

E. Kolesnick, H. Ooi, M. Rashid, K. Pain, H. Sarva, A. Deik (New York, USA)

Ultrasensitive detection of aggregated α-synuclein using quiescent seed amplification assay for the diagnosis of Parkinson’s Disease

H. Mao, Y. Kuang, P. Xu (guangzhou, China)

Unlocking Movement Disorder Specialist Capacity and Mitigating Risk: a Platform Solution for Cost Reduction and Care Optimization in Parkinson’s Disease

A. Arnold, A. Hare, T. Jansen, M. Sedrak, S. Khandhar, W. Chen, R. Gilron (San Francsico, USA)

Use of social media and health information technology among caregivers of Alzheimer’s disease and other neurological conditions: Secondary analysis of the 2022 Health Information National Trend (HINTS) Survey

M. Arbabi Kalati (Hinsdale, USA)

Video-based Machine Rating Model for MDS-UPDRS III in Parkinson’s disease: A Proof-of-concept Pilot Study

X. Zhu, Z. Chen, Y. Ling, K. Ren, Y. Tan, J. Liu (Shanghai, China)

Wearable Device for Real-Time Prevention of Freezing-of-Gait in Parkinson’s Disease

A. Alakhras, S. Pardoel, E. Jafari, J. Kofman, E. Lemaire, J. Nantel (Ottawa, Canada)

Wearable sensors and AI in Parkinson’s disease – How continuous symptom and treatment response monitoring can enable better clinical decision making – Interim results from an observational study

M. Sander, S. Goh, S. Knapp, F. Pfister, S. Karie, K. Rou, S. Li, N. Jie, V. Zhi, L. Louis, C. Teng, L. Seng, A. Lok, T. Yaw, X. Zheyu, S. Min, M. Anish, P. Manharlal, L. Weishan, A. Ng (München, Germany)