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Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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2023 International Congress » Technology

Meeting: 2023 International Congress

A cross-sectional study of telemedicine use during the COVID-19 pandemic in people with Parkinson’s disease

A. Patel, R. Schuldt, D. Boudreau, N. Win, B. Cobb, M. Mcginley (South San Francisco, USA)

A framework to standardize gait study protocols in Parkinson’s disease

M. Mancini, J. Hausdorff, E. Pelosin, P. Bonato, R. Camicioli, T. Ellis, J. Klucken, L. Gifford, A. Fasano, A. Nieuwboer, K. Kopil, K. Klapper, A. Mirelman (Portland, USA)

A new synchronization method between inertial signals and local field potentials

I. D'Ascanio, G. Giannini, L. Baldelli, I. Cani, A. Giannoni, G. Leogrande, G. Lopane, G. Calandra-Buonaura, P. Cortelli, L. Chiari, L. Palmerini (Bologna, Italy)

A Novel Real Time Algorithm to Predict Freezing of Gait in Parkinson’s Patients Using Wearable Mobility Sensors Data

N. Galor, T. Krasovsky, S. Hassin, B. Heimler, M. Plotnik (Ramat Gan, Israel)

A pilot study to prepare patients for doctor’s consultation based on the NMS-Quest and a wearable medical device

L. Carrasco, D. álvarez, M. Pérez, C. Capra, D. Rodriguez-Martin, M. Mata, M. Kurtis, C. Borrué, L. López-Manzanares (Madrid, Spain)

Actigraphy wear compliance across CNS disorders

J. Lavine, A. Pearlmutter, K. Momeni, R. Ellis (New York, USA)

An Open-Access Model for Parkinson’s Disease Progression

S. Mosovsky, K. Saboo, K. Severson, A. Amini, L. Crawford, N. Yates, J. Adibi, L. Chahine (Pittsburgh, USA)

Analysis of a wearable sensor, STAT-on®, to detect motor complications in patients with Parkinson´s disease (PDp)

J. Parra Serrano, MI. Morales Casado, N. Lopez Ariztegui (Toledo, Spain)

Association of real-world wearable mobility measures with Parkinson’s disease severity and disease progression

A. Mirelman, J. Volkov, A. Solomon, E. Gazit, A. Nieuwboer, S. Del Din, L. Rochester, L. Avanzino, E. Pelosin, B. Bloem, U. Della Croce, A. Cereatti, A. Thaler, J. Shirvan, J. Cedarbaum, N. Giladi, J. Hausdorff (Tel Aviv, Israel)

Automatic Detection of Parkinson’s Disease by Voice Analysis

NY. Ryoo, SY. Kim, YC. Youn (Seoul, Republic of Korea)

Building and evaluating a speech biomarker from 2-seconds sustained phonation to detect and monitor Parkinson’s disease

J. Tröger, L. Schwed, E. Baykara, N. Linz, J. Orozco-Arroyave (Saarbrücken, Germany)

Case report on the use of a High Frequency Vibrotactile Stimulation and Cueing Device over 4 months in a patient with Parkinson’s Disease and refractory symptoms

A. Mackett (Cambridge, United Kingdom)

Challenges in patient-physician communication during limited time appointments in Parkinson’s disease

E. Zhunusova, C. Shambetova, A. Iliazova (Bishkek, Kyrgyzstan)

Characterizing the neural response to electrical brain stimulation with spatiotemporal precision in mice.

J. Hickman, D. Denman (DENVER, USA)

Co-designing Digital Technologies to improve Clinical Care in People with Parkinson’s Disease

M. Monje, S. Grosjean, M. Srp, L. Antunes, R. Bouca-Machado, R. Cacho, S. Rodriguez, J. Inocentes, T. Lynch, A. Tsakanika, D. Fotiadis, G. Rigas, E. Ruzicka, J. Ferreira, A. Antonini, N. Malpica, T. Mestre, A. Sánchez-Ferro (Chicago, USA)

Comparision of objective Parkinson’s disease monitoring systems and the interpretations of results

G. Kilincalp, F. Grahn, H. Sabir, D. von Below, A. Jeppsson, A. Sjöström, F. Bergquist (Gothenburg, Sweden)

Contactless assessment of rigidity in Parkinson’s disease using machine vision and machine learning

X. Zhu, W. Shi, Y. Ling, N. Luo, Q. Yin, Y. Zhang, A. Zhao, G. Ye, H. Zhou, J. Pan, L. Zhou, L. Cao, P. Huang, P. Zhang, Z. Chen, C. Chen, S. Lin, J. Zhao, K. Ren, Y. Tan, J. Liu (Shanghai, China)

Continuous algorithmic insights into PD motor symptoms and individual treatment response

M. Sander, FMJ. Pfister, G. Höglinger, J. Levin, A. Ceballos-Baumann, UM. Fietzek (Munich, Germany)

Continuous estimation of Parkinson’s on-off states using wearable devices

A. Arnold, T. Jansen, R. Gilron, N. Cottone, J. Sayaan, W. Chen (San Francisco, USA)

COPS: Continuous Observation of Parkinsonian Symptoms – A prospective data acquisition study using wearable accelerometery

T. Nesser, T. Dembek, C. Hennen, V. Stopic, M. Barbe (Cologne, Germany)

Curved Trajectories in Stereotactic Neurosurgery

A. Zemmar, J. Neimat, Y. Chitalia (Louisville, USA)

Detecting Changes in Parkinson’s Motor Symptom Patterns Using Wearable Devices

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

Detection of freezing of gait in people with Parkinson’s disease using novel deep learning approaches.

EC. Klaver, IB. Heijink, G. Silvestri, JPP. van Vugt, J. Nonnekes, RJA. van Wezel, MC. Tjepkema-Cloostermans (Nijmegen, Netherlands)

Development and quantified evaluation of a continuous smartphone app-based monitoring approach to individualize Parkinson’s disease management.

F. Thieken, S. Wattendorf, P. Korn, M. Kontz, O. Ataiy, P. Fischer, MO. Ashraf, V. Gross, D. Pedrosa, K. Sohrabi, L. Timmermann (Marburg, Germany)

Digital mobility sub-study in the Parkinson’s Progressive Marker Initiative (PPMI) study.

A. Mirelman, T. Simuni, C. Tanner, E. Flagg, A. Lorenzo, J. Dimos, C. Coffey, A. Siderowf, K. Marek (Tel Aviv, Israel)

Enhanced sensitivity to bradykinesia progression using digital health technologies in early Parkinson’s disease

M. Czech, L. Yang, J. Shen, D. Badley, M. Crouthamel, T. Kangarloo, R. Dorsey, J. Adams, J. Cosman (North Chicago, USA)

Evaluating continuous monitoring in Parkinson’s disease through real-world, device-reported outcomes.

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

How do people with Parkinson’s disease experience self-optimization of treatment using digitally supported symptom monitoring?

K. Fåglum, A. Hjorth, M. Christani, P. Hagell, A. Ozanne, F. Bergquist (Varberg, Sweden)

Introduction of a Parkinson’s Disease Virtual Ward Round

K. Ramsay (Sutton-in-Ashfield, United Kingdom)

Is cognitive function related to daily life gait and turning in people with Parkinson’s disease?

M. Mancini, P. Burgos, P. Carlson-Kuhta, C. Silva-Batista, A. Ragothaman, V. Shah, F. Horak (Portland, USA)

Is it safe to switch from constant voltage to constant current with a mixed Internal Pulse Generator in deep brain stimulation

G. Ozturk Ozluk (Istanbul, Turkey)

Mobile and electronic health-supported physical activity in Parkinson’s disease: A scoping review

M. Bopp, J. Krell-Roesch, Y. Geda, S. Aslam, A. Woll (Karlsruhe, Germany)

Mobile Brain / Body Imaging in early Parkinson’s Disease: the Twin Brain project

M. Ajcevic, A. Buoite Stella, A. Miladinovic, M. Peskar, M. Kalc, T. Lombardo, M. Deodato, M. Catalan, U. Marusic, P. Manganotti (Trieste, Italy)

Normative data for the Vietnamese smell identification test

T. Dang, K. Vo, U. Ha, Q. Ly, T. Thai, T. Nguyen, T. Tran (HO CHI MINH, Viet Nam)

Normative values for the Instrumented Timed Up and Go test in Parkinsonian populations

L. Palmerini, I. D'Ascanio, A. Giannoni, G. Calandra-Buonaura, G. Giannini, L. Chiari, P. Cortelli, G. Lopane (Bologna, Italy)

PD.ai – Detection of Parkinson’s Disease with gait-based biomarkers using AI techniques

SJS. Rajasekar, A. Stezin (Melmaruvathur, India)

Performance of commercial EEG wearable for sleep classification in Parkinson disease

D. González, D. Wang, E. Pollet, A. Velarde, S. Horn, J. Ramirez-Castaneda, P. Coss, O. Vaou, J. Wang, C. Li, S. Seshadri, H. Miao, M. Gonzales (Chicago, USA)

Positive and negative myoclonus monitoring using ambulatory surface EMG and 3D accelerometry

S. Rissanen, A. Sinokki, J. Hyppönen, L. Säisänen, K. Silvennoinen, P. Karjalainen, E. Mervaala, Z. Hadj-Allal, R. Kälviäinen (Kuopio, Finland)

Predicting ALS progression using remote sensor-based assessments

D. Anderson, A. Keil, D. Amato, M. Merickel, M. Kantartjis, S. Jezewski, S. Johnson, S. Polyak, B. Severson, J. Severson (Horsham, USA)

Predictive model for Identification of device-aided therapy (DAT) Candidates in Parkinson´s Disease (DELIST-PD Study)

E. Freire-Alvarez, I. Legarda Ramirez, R. Garcia-Ramos, F. Carrillo, D. Santos-Garcia, JC. Gomez-Esteban, JC. Martinez-Castrillo, I. Martinez-Torres, CJ. Madrid Navarro, MJ. Perez Navarro, F. Valero Garcia, B. Vives Pastor, L. Muñoz-Delgado, B. Tijero, C. Morata-Martinez, R. Aler, IM. Galvan, F. Escamilla-Sevilla (Elche, Spain)

Quantification motor improvement from levodopa carbidopa infusion gel therapy in patients with Parkinson’s disease using a wearable device.

JHR. Herreros-Rodriguez, AEL. Esquivel López (Madrid, Spain)

Real-life heart rate assessment: a digital biomarker for autonomic dysfunction in early Parkinson’s disease?

K. Veldkamp, L. Evers, Y. Raykov, M. Little, M. Brouwer, B. Bloem, J. Thannhauser (Nijmegen, Netherlands)

Real-life monitoring of Parkinson’s disease tremor: does the non-tremor subtype really exist?

R. Terranova, L. Evers, D. Soriano, Y. Raykov, M. Little, H. Cagnan, B. Bloem, R. Helmich (Catania, Italy)

Referral patterns from primary care physicians to specialists among people with Parkinson’s disease or a Parkinson’s disease–related disorder

A. Patel, K. Jinnett, A. Gaur, E. Mearns, B. Cobb, C. Macaluso, J. Weiss, H. Lin, N. Win (South San Francisco, USA)

Reliability and validity of automatedly generated vowel space metrics as biomarkers of articulatory impairment severity and progression in early Parkinson’s Disease

D. Kwaśny, J. Rusz, R. Ullmann, E. Volkova-Volkmar, B. Fehlmann, S. Lambrecht, G. Pagano, T. Kustermann, R. Postuma, M. Lindemann, K. Taylor (Basel, Switzerland)

Sensor-based digital measurement of gait and wrist pronation-supination in clinically-defined classes of Parkinson’s disease progression identified by unsupervised clustering

D. Rodriguez Duque, J. Edgerton, L. Zhu, C. Kanzler, C. de Moor, S. Belachew, T. Dam, T. Liu, C. Shen, M. Yang, F. Nahab (Cambridge, USA)

Smartphone App-Based Stroop Test as a surrogate for impaired self-awareness in Parkinson’s disease.

F. Thieken, S. Wattendorf, P. Korn, M. Kontz, O. Ataiy, P. Fischer, MO. Ashraf, V. Gross, D. Pedrosa, K. Sohrabi, L. Timmermann (Marburg, Germany)

Stability of beta oscillations during aDBS in Parkinson’s disease: a methodology for reliable assessment

S. Marceglia, A. Caruso, M. Prenassi, M. Arlotti, T. Bocci, L. Borellini, S. Pastore (Trieste, Italy)

Telemedicine challenges in the management of patients with Parkinson’s disease in Central Asia.

A. Iliazova, E. Zhunusova, C. Shambetova (Bishkek, Kyrgyzstan)

Teleprogramming Reduces the Time Needed to Optimize DBS Therapy: Results from the ROAM-DBS study

A. Gharabaghi, D. Weiss, S. Groppa, L. Lopez Manzanares, A. Schnitzler, R. Alvarez, L. Muñoz-Delgado, C. Luca, J. Karl, V. Marshall, L. Zhang, M. Soileau, B. Dalm, M. Feldman, S. Zauber, H. Lei, L. Luo, B. Walter, C. Wu (Tübingen, Germany)

Text entry as a digital outcome in Parkinson’s disease patients (TEXT-PD): results from two exploratory studies

L. Azevedo Kauppila, A. Rodrigues, F. Pona Ferreira, M. Leitão, A. Santos, D. Branco, H. Nicolau, J. Ferreira, T. Guerreiro (Torres Vedras, Portugal)

The added value of accelerometric monitoring during thalamotomy

A. Smid, M. Oterdoom, R. Pauwels, K. Tamasi, J. Elting, A. Absalom, T. van Laar, M. van Dijk, G. Drost (Groningen, Netherlands)

The predictive potential of circular walking in prodromal Parkinson’s disease

ME. Micó-Amigo, I. Kingma, S. Heinzel, S. Solbrig, MA. Hobert, M. Elshehabi, K. Brockmann, FG. Metzger, R. van Lummel, D. Berg, W. Maetzler, JH. van Dieen (Edinburgh, United Kingdom)

Topical Botulinum-Toxin-like Alternatives: A Systematic Literature Review

S. Maytharakcheep, O. Phokaewvarangkul, R. Bhidayasiri (bangkok, Thailand)

Touchscreen nQ application as a remote digital biomarker in Parkinson disease

J. Yu, P. Gandara, O. Phillips, J. Liao, A. Holmes, I. Mondesire-Crump, J. Syrotenko, S. Mruthik, T. Arroyo-Gallego, H. Fernandez (Cleveland, USA)

turning alterations detected by mobile health technology in idiopathic rem sleep behavioral disorders

C. Zatti, A. Pilotto, A. Rizzardi, M. Catania, L. Purin, M. Pasolini, C. Hansen, R. Romijnders, E. Schaeffer, A. Galbiati, L. Ferini Strambi, D. Berg, W. Maetzler, A. Padovani (Brescia, Italy)

Unsupervised multimodal digital assessment of fatigue and sleep disorders in Parkinson’s disease: the IDEA-FAST study

A. Pilotto, J. Kudelka, L. Correia, E. Lirani-Silva, J. Jimenez Ramos, S. Labrecque, R. Romijnders, C. Hansen, C. Maetzler, A. Rizzardi, C. Zatti, U. Funken, W. Remmele, A. Santos, S. Del Din, L. Rochester, J. Ferreira, A. Padovani, A. Yarnall, K. Seppi, F. Ng, W. Maetzler (Brescia, Italy)

Using wearable wireless technology to understand the natural history of adrenomyeloneuropathy in both clinic and home settings: 1-year follow-up in the CYGNET study

C. Bergner, W. Koehler, J. Bonkowsky, C. Stephen, F. Eichler, L. Glenn, M. Engelen (Leipzig, Germany)

WATCH-PD: Longitudinal Digital Assessments in Early Parkinson’s Disease

T. Kangarloo, ER. Dorsey, P. Auinger, D. Volfson, P. Padmanabhan, Y. Gong, B. Tracey, D. Stephenson, D. Anderson, J. Severson, M. Kostrzebski, P. Wilmot, Y. Pohlson, J. Cosman, J. Adams (Cambridge, USA)

Words Spoken Daily: A Novel Measure of Cognition

S. Lettenberger, M. Zafar, J. Soto, Y. Zhang, G. Zhu, A. Masino, G. Nkrumah, E. Waddell, K. Spear, A. Arky, R. Toor, E. Hartman, J. Epifano, R. Christie, Z. Duan, R. Dorsey (Rochester, USA)

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