MDS Virtual Congress 2020 » Technology

A day in the life of Parkinson’s: Using passive monitoring to characterize the disease at home

C. Tarolli, Z. Kabelac, T. Myers, E. Waddell, H. Rahul, R. Hristov, P. Auinger, T. Nordahl, E.R Dorsey, T. Ellis, D. Katabi (Rochester, NY, USA)

A New Web-Based Tapping Test for Measuring Distal Bradykinesia in Parkinson’s Disease

N. Akram, H. Li, A. Ben-Joseph, C. Budu, D. Gallagher, A. Noyce, C. Simonet (London, United Kingdom)

A novel easily performed objective test of fine motor skill in handwriting and drawing to support diagnosing Parkinson’s disease

R. Zietsma, S. Bojic, A. Karki, R. Bauer, M. van Gils, L. Cluitmans, A. Tolonen, R. Walker, K. Gray (Edinburgh, United Kingdom)

An Observational Study for the Application of Wearable, Multi-Sensor Technology to Characterize Motor Function of Parkinson’s Disease Patients in Japan (SWJ-001): An Innovative Protocol

G. Oyama, T. Hatano, W.J Marks, R. Kapur, J. Fernandez, K. Fujikawa, T. Ogawa, H. Kamo, Y. Oji, H. Takeshige-Amano, D. Taniguchi, R. Nakamura, F. Sasaki, S. Ueno, N. Hattori (Tokyo, Japan)

An Observational Study for the Application of Wearable, Multi-Sensor Technology to Characterize Motor Function of Parkinson’s disease Patients in Japan (SWJ-001): Device Adherence

T. Hatano, G. Oyama, J. Fernandez, K. Fujikawa, W.J Marks, R. Kapur, T. Ogawa, H. Kamo, Y. Oji, H. Takeshige-Amano, D. Taniguchi, R. Nakamura, F. Sasaki, S. Ueno, N. Hattori (Tokyo, Japan)

Arm Swing Differences in Patients with PD and ET during Walking

W.S Zhang, C. Gao, P.C Zhang, G. Li, S.D Chen (Shanghai, China)

Assessing the screening performance of three abbreviated smell tests in Parkinson’s disease

G. Goodwin, H. Li, A. Ismail, H. Azevedo, G. Giovannoni, A. Schrag, A. Lees, J. Cuzick, J. Bestwick, S. Auger, A. Noyce (London, United Kingdom)

Association between actively and passively monitored gait in early Parkinson’s disease

E. Volkova-Volkmar, A. Thomann, B. van Lier, D. Wolf, G. Pointeau, Y.P Zhang Schärer, W.Y Cheng, C. Simillion, G. Pagano, W. Zago, C. Gossens, F. Lipsmeier, K. Taylor, M. Lindemann (Basel, Switzerland)

Association between actively and passively monitored hand gestures in early Parkinson’s disease

E. Volkova-Volkmar, A. Thomann, B. van Lier, D. Wolf, G. Pointeau, Y.P Zhang Schärer, W.Y Cheng, C. Simillion, G. Pagano, W. Zago, C. Gossens, F. Lipsmeier, K. Taylor, M. Lindemann (Basel, Switzerland)

Automated Capture of Deep Brain Stimulation Settings & Clinical Outcomes

K. Castell, C. Butson (Salt Lake City, UT, USA)

Automatic classification of abnormal movement in Huntington’s disease using wearable sensors and machine learning

S. Aradi, R. Pierson, B. Scheid, S. Baldassano, B. Litt, P. Gonzalez-Alegre (Tampa, FL, USA)

Bayesian Estimation of Gait Cadence from Monocular Video

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

Bioengineered nigrostriatal constructs model Lewy pathology

E. Clark, L. Struzyna, W. Gordián-Vélez, I. Chen, K. Cullen, J. Duda (Philadelphia, PA, USA)

Clinical and kinematic assessment of a glove-based tremor dampener in patients with essential tremor

A. Sampalli, J. Lee, P. Rizek (Toronto, ON, Canada)

Comparison of accelerometers used for measurement of upper body postural tremor, and gait and balance

P. Kelly, C. Huang, R. Ellis (New York, NY, USA)

Connecting digital mobility outcomes with clinical assessments in disorders such as Parkinson’s disease: the Mobilise-D study

W. Maetzler, A. Yarnall, I. Neatrour, A. Nieuwboer, B. Caulfield, A. Mirelman, C. Schlenstedt, C. Hansen, H. Gaßner, M. Jackson, F. Kluge, D. Berg, J. Hausdorff, J. Klucken, L. Granovsky, K. Emmert, R. Roubenoff, C. Becker, L. Rochester (Kiel, Germany)

Deep learning approach for Parkinson’s disease classification from facial expressions: A pilot feasibility study

O. Phokaewvarangkul, P. Vateekul, D. Surangsrirat, R. Bhidayasiri (Bangkok, Thailand)

Deep phenotyping of Parkinson’s disease: a longitudinal study using multiple digital sensors

E. Waddell, S. Jensen-Roberts, T. Myers, M. Coffey, K. Lizarraga, E. Dorsey, C. Tarolli, J. Adams, R. Schneider (Rochester, NY, USA)

Determination of freezing of gait with wearable sensors in patients with Parkinson’s disease

U. Eliiyi, P. Keskinoglu, T. Kahraman, A. Özkurt, B. Yürdem, G. Duran, B. Dönmez Colakoglu, A. Genc (Izmir, Turkey)

Early detection of Parkinson’s disease motor fluctuations with a wearable inertial sensor

N. Caballol, A. Prats, P. Quispe, M.A Ranchal, S. Alcaine, F. Fondevilla, A. Bayés (Barcelona, Spain)

Efficacy of a Vibrational Armband in Maintenance of Forced Arm Swing in Parkinsonism

A. Harbour, J. VanWart, Z. Mercer, K. Pique, R. Golan, J. Clark, C. Maitland (Tallahassee, FL, USA)

Evaluating the use of Parkinson’s Kinetigraphs in Patients with Parkinson’s Disease and Frailty

B. Mohamed, L. Evans, M. Shukir, A. Abdullah, C. Thomas (Cardiff, United Kingdom)

Feasibility of a simplified, symptom-based electronic diary to improve evaluation of motor and non-motor complications in Parkinson’s disease

O. Chuapakdee, P. Punyakaew, V. Ratanasirisawad, S. Kongdachalert, C. Winyooviji, R. Bhidayasiri (Bangkok, Thailand)

Gait and turning alterations in idiopathic REM sleep behavioral disorder and early Parkinson’s disease: a cross-sectional study with mobile health technology

A. Pilotto, M. Catania, A. Galbiati, C. Hansen, R. Romijnders, A. Corbani, S. Nocivelli, S. Masciocchi, A. Imarisio, M. Rizzetti, L. Ferini-Strambi, W. Maetzler, A. Padovani (Brescia, Italy)

Goalkeeper Game: a new assessment tool for prediction of gait performance under complex condition in people with Parkinson’s disease

R. Stern, M. d'Alencar, Y. Uscapi, M. Gubitoso, A. Roque, A. Helene, M. Piemonte (São Carlos, Brazil)

Home videos made on smart phone supplements paper based diary for correct identification of Motor states in Parkinson’s disease

D. Dash, R. Singh, D. Vibha, M. Tripathi (Delhi, India)

IMU-based study on Gait and Balance in Parkinson´s disease and healthy subjects

J.R Pérez Sánchez, M. González-Sánchez, A. Muñoz González, A. Hernández-Sosa, J. Segura-Buisán, M. Schmid, C. Cermeño, E. Luque Buzo, B. De-La-Casa Fages, A. Contreras Chicote, J.L Pons, D. Torricelli, F. Grandas (Madrid, Spain)

Inertial sensor-based kinematics in the differential diagnosis of Parkinson’s disease and atypical parkinsonisms

M. Mendonça, P. Ferreira, R. Barbosa, B. Meira, J. da Silva, R. Costa, R. Matias (Lisboa, Portugal)

Instrumented Detection of Fluctuations with Wearable Devices in Parkinson’s Disease

G. Rigas, D. Kakalou, N. Tachos, K. Tsamis, N. Kostikis, A. Marcante, R. Di Mitri, M. Di Pumpo, S. Konitsiotis, D. Fotiadis (Ioannina, Greece)

Kinematic analysis of tremor characteristics in patients with essential tremor

A. Sampalli, J. Lee, P. Rizek (Toronto, ON, Canada)

Monitoring gait in Parkinson’s disease (PD) at home with connected insoles: a feasibility study

L. farid, A.S rolland, G. Baille, D. Jacobs, E. Bezard, L. Defebvre, A. Delval, D. Devos, D. Guehl, C. Moreau (Lille, France)

Not so simple: the challenge of developing a non-motor symptoms app (NMS Assist) for people with Parkinson’s (PwP)

T. Gorst, T. Dominey, J. Whipps, S. Whipps, J. Cooke, S. Mullin, I. Maramba, E. Edwards, C. Carroll (Plymouth, United Kingdom)

O-arm stereotactic imaging in deep brain stimulation surgery workflow: A utility and cost-effectiveness analysis

L. Furlanetti, H. Hasegawa, A. Oviedova, A. Raslan, M. Samuel, R. Selway, K. Ashkan (London, United Kingdom)

Objective measurement of limb bradykinesia using marker-less tracking algorithm with 2D-video of PD patients

J.H Shin, S.H Jeon, R. Kim, S.M Park, J.H Choi, J.N Ong, H.J Kim, B. Jeon (Seoul, Republic of Korea)

Passively measuring motor behavior in daily life: preliminary reliability and validity in individuals recently diagnosed with Parkinson’s disease

F. Lipsmeier, K. Taylor, A. Thomann, R. Postuma, W. Cheng, B. van Lier, E. Volkova-Volkmar, D. Trundell, W. Zago, A. Boulay, G. Pagano, C. Gossens, M. Lindemann (Basel, Switzerland)

PD Conversations: Creation of an Online Parkinson’s Community

N. Yarab, D. Ojeda, J. McClure, A. Janicke, V. Todaro, L. Pearl, C. Whitlock, A. Diaz (Miami, FL, USA)

Real-World Evidence for a Smartwatch-based Parkinson’s Motor Assessment App in Patients Undergoing Therapy Changes

A. Hadley, D. Riley, D. Heldman (Cleveland, OH, USA)

Recent Trends in Complications after Deep Brain Stimulation Implantation: Insights from Big Data Analysis

W. Hamel, M. Pötter-Nerger, R. Agarwal, A. Connolly, S. Rosenberg, B. Cheeran, A. Sharan (Hamburg, Germany)

Remote monitoring of physical activity and falls in patients with Huntington’s disease using wearable sensors

J. Adams, R. Dorsey, E. Waddell, M. Coffey, C. Tarolli, R. Schneider, M. Zahiri, A. Varizi, H. Nguyen (Rochester, NY, USA)

Remote monitoring of physical activity in Veterans with Parkinson’s disease

K. Waddell, S. Wood, S. Koganti, J. Morley (Philadelphia, PA, USA)

Slow Motion Analysis of Repetitive Tapping (SMART) test: a new means to assess bradykinesia

C. Simonet, C. Lambert, R. Rees, M. Galmes, A. Schrag, A. Noyce (London, United Kingdom)

Smartphone applications in Parkinson’s disease: current data on disease monitoring, medication adherence, and movement modulation

S. Tripathi, A. Malhotra, S. Barkan, C. Henchcliffe, H. Sarva (New York City, NY, USA)

Smartphone-based context awareness to improve ambulatory Parkinson’s monitoring

A. Hadley, B. Walter, A. Espay, D. Heldman (Cleveland, OH, USA)

Technology-based therapy response and prognostic biomarkers in Parkinson’s disease: results from a prospective evaluation of a de novo PD patients’ cohort

G. Di Lazzaro, M. Ricci, T. Schirinzi, S. Scalise, G. Saggio, N.B Mercuri, A. Pisani (Rome, Italy)

Test-Retest Reliability of Sensor-Based Telemonitoring of Parkinsonian Gait at Home

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

The diagnostic value of smartphone-based instrumented Timed Up & Go test in different movement disorders

G. Yahalom, S. Israeli-Korn, T. Fay-Karmon, V. Livneh, K. Tchelet, Z. Yekutieli, A. Stark-Inbar, S. Hassin-Baer, H. Yahalom, M. Linder (Jerusalem, Israel)

The Efficacy of Teleconsultation for Management of Movement Disorders in Thailand

W. Phuenpathom, P. Jagota, R. Bhidayasiri (Bangkok, Thailand)

The Unique Voiceprint Changed In Parkinson’s Disease

F. XU (CHENGDU, China)

Towards a method for accurate detection of diphasic dyskinesia

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

Usability assessments in patients with Parkinson’s disease: The foundation for a holistic telemedical solution (TelePark)

J. Bendig, M. Prieto-Jarabo, A. Koppitz, B. Falkenburger, H. Reichmann, K. Löwenbrück (Dresden, Germany)

Use in Clinical Practice of a Personalised and Long-term Monitoring Device for Parkinson´s Disease: STAT-ON

D. Santos García, N. López Ariztegui, E. Cubo, A. Vinagre Aragón, R. García Ramos, C. Borrué, G. Fernández Pajarín, N. Caballol, I. Cabo, J. Barrios López, J. Hernández Vara, M.A Avila, C. Gasca Salas, S. Escalante, P. Manrique, R. Pérez Noguera, M. Álvarez Sauco, M. Sierra, M.G Monje, A. Sánchez Ferro, S. Novo, F. Alonso, D. Macías, I. Legarda, A. Rojo, I. Fernández, M.T Buongiorno, P. Pastor, P. García Ruíz (A Coruña, Spain)

User experience of body-worn sensors: perception of patients and health professionals for Parkinson’s disease at home follow-up

C. Virbel-Fleischman, Y. Rétory, S. Hardy, J.C Corvol, D. Grabli (Paris, France)

Using telemedicine and wearable technology to establish a virtual clinic for people with Parkinson’s

L. Evans, B. Mohamed, C. Thomas (Cardiff, United Kingdom)

Utility of deep brain stimulation remote programming for Parkinson’s disease during the COVID-19 outbreak

CC. Zhang, K.W Zhu, Z.Y Lin, B.M Sun, D.Y Li (Shanghai, China)

Video-based computer vision system exhibits concurrent validity with clinical ratings of head tremor severity in cervical dystonia

J. Vu, L. Le, X. Guo, R. Rouzbehani, D. Sy, R. Elble, G. Stebbins, C. Comella, D. Peterson (La Jolla, CA, USA)

Wearable sensors: a real-world characterization of Parkinson’s disease

E. Waddell, K. Dinesh, S. Jensen-Roberts, T. Myers, M. Coffey, K. Lizarraga, E. Dorsey, C. Tarolli, R. Schneider, G. Sharma, J. Adams (Rochester, NY, USA)