Technology in Parkinson’s disease: challenges and opportunities

Espay, Alberto J., Bonato, Paolo, Nahab, Fatta B., Maetzler, Walter, Dean, John M., Klucken, Jochen, Eskofier, Bjoern M., Merola, Aristide +21 more·2016·Movement Disorders

Cited by (654)

Items 201–300 of 654

  1. Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson’s Disease: An Integrated Approach Based on Azure Kinect
    Gianluca Amprimo, Giulia Masi, Lorenzo Priano, Corrado Azzaro, Federica Galli, Giuseppe Pettiti, Alessandro Mauro, Claudia Ferraris · 2022 · Sensors
  2. Parkinson's Disease Biomarkers: Where Are We and Where Do We Go Next?
    Lana M. Chahine, Matthew B. Stern · 2017 · Movement Disorders Clinical Practice
  3. Wearable multisource quantitative gait analysis of Parkinson's diseases
    Junxiao Xie, Huan Zhao, Junyi Cao, Qiumin Qu, Hongmei Cao, Wei‐Hsin Liao, Yaguo Lei, Linchuan Guo · 2023 · Computers in Biology and Medicine
  4. Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis
    Ilias Tougui, Mehdi Zakroum, Ouassim Karrakchou, Mounir Ghogho · 2024 · Scientific Reports
  5. The Opportunity for Telehealth to Support Neurological Health Care
    Amanda M. Cardinale · 2018 · Telemedicine Journal and e-Health
  6. Towards early disease modification of Parkinson’s disease: a review of lessons learned in the Alzheimer field
    Marthe Smedinga, Sirwan K.L. Darweesh, Bastiaan R. Bloem, Bart Post, Edo Richard · 2020 · Journal of Neurology
  7. Early balance impairment in Parkinson’s Disease: Evidence from Robot-assisted axial rotations
    Alessandro Zampogna, Ilaria Mileti, Francesca Martelli, Marco Paoloni, Zaccaria Del Prete, Eduardo Palermo, Antonio Suppa · 2021 · Clinical Neurophysiology
  8. Tablet-Based Application for Objective Measurement of Motor Fluctuations in Parkinson Disease
    Benjamin D. Wissel, Georgia Mitsi, Alok Kumar Dwivedi, Spyridon Papapetropoulos, Sydney Larkin, José Ricardo López Castellanos, Emily Shanks, Andrew P. Duker, Federico E Rodriguez‐Porcel, Jennifer E. Vaughan et al. · 2018 · Digital Biomarkers
  9. Objective evaluation of bradykinesia in Parkinson’s disease using an inexpensive marker-less motion tracking system
    Wee Lih Lee, Nicholas C. Sinclair, Mary Beth Jones, Joy L Tan, Elizabeth L. Proud, Richard F. Peppard, Hugh J. McDermott, Thushara Perera · 2019 · Physiological Measurement
  10. A Smart Device System to Identify New Phenotypical Characteristics in Movement Disorders
    Julian Varghese, Stephan Niewöhner, Iñaki Soto‐Rey, Stephanie Schipmann-Miletić, Nils Warneke, Tobias Warnecke, Martin Dugas · 2019 · Frontiers in Neurology
  11. Spatio-Temporal Attention and Magnification for Classification of Parkinson’s Disease from Videos Collected via the Internet
    Mohammad Rafayet Ali, Javier Hernandez, Earl Ray Dorsey, Mohammed Ehsan Hoque, Daniel McDuff · 2020 · International Conference on Automatic Face and Gesture Recognition
  12. Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
    Gloria P. Vergara-Diaz, Jean‐François Daneault, Federico Parisi, Chen Admati, Christina Alfonso, Matilde Bertoli, Edoardo Bonizzoni, Gabriela Ferreira Carvalho, Gianluca Costante, Eric Eduardo Fabara et al. · 2021 · Scientific Data
  13. WaistonBelt X: A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change
    Nakamura, Yugo, Matsuda, Yuki, Arakawa, Yutaka, Yasumoto, Keiichi · 2019 · Sensors
  14. New Era in disease modification in Parkinson's disease: Review of genetically targeted therapeutics
    S. Pablo Sardi, Tanya Simuni · 2018 · Parkinsonism & Related Disorders
  15. Patient-Centric Care for Parkinson's Disease: From Hospital to the Community
    Yin Minn Aye, Sylvia Liew, Shermyn Neo, Wei Li, Hwee-Lan Ng, Shu-Ting Chua, Wentao Zhou, Wing‐Lok Au, Eng‐King Tan, Kay Yaw Tay et al. · 2020 · Frontiers in Neurology
  16. Amantadine ER (Gocovri®) Significantly Increases ON Time Without Any Dyskinesia: Pooled Analyses From Pivotal Trials in Parkinson's Disease
    R. Hauser, R. Walsh, R. Pahwa, Dustin Chernick, Andrea E. Formella · 2021 · Frontiers in Neurology
  17. Clinical milestones in Parkinson's disease: Past, present, and future
    Luca Marsili, Abhimanyu Mahajan · 2021 · Journal of the Neurological Sciences
  18. Objective measurement versus clinician-based assessment for Parkinson’s disease
    Andrea Guerra, Valentina D’Onofrio, Florinda Ferreri, Matteo Bologna, Angelo Antonini · 2023 · Expert Review of Neurotherapeutics
  19. Co-designing Customizable Clinical Dashboards with Multidisciplinary Teams: Bridging the Gap in Chronic Disease Care
    Diogo Branco, Margarida Móteiro, Raquel Bouça‐Machado, Rita Miranda, Tiago Reis, Élia Decoroso, Rita Cardoso, Joana Ramalho, Filipa Rato, Joana Malheiro et al. · 2024 · CHI Conference on Human Factors in Computing Systems
  20. Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    Jihye Ryu, Joe Vero, Roseanne D. Dobkin, Elizabeth Barbara Torres · 2019 · Journal of Visualized Experiments
  21. A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinson’s Disease
    Han Zhang, Chuantao Li, Wei Liu, Jingying Wang, Junhong Zhou, Shouyan Wang · 2020 · Sensors
  22. Technology outcome measures in neuromuscular disorders: A systematic review
    Sara Bortolani, Chiara Brusa, Enrica Rolle, Mauro Monforte, Valeria De Arcangelis, Enzo Ricci, Tiziana Mongini, Giorgio A. Tasca · 2021 · European Journal of Neurology
  23. Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease
    Beatriz Muñoz, Daniela Álvarez-García, Hugo Juan Camilo Clavijo-Moran, Jaime Valderrama, Melisa García-Peña, Carlos Alfonso Herrán, Christian Camilo Urcuqui, Andrés Navarro-Cadavid, Jorge Orozco · 2022 · Frontiers in Human Neuroscience
  24. No relevant association of kinematic gait parameters with Health-related Quality of Life in Parkinson’s disease
    Kristina Bettecken, Felix P. Bernhard, Jennifer Sartor‐Pfeiffer, Markus A. Hobert, Marc Hofmann, Till Gladow, Janet M.T. van Uem, Inga Liepelt‐Scarfone, Walter Maetzler · 2017 · PLoS ONE
  25. App-Based Bradykinesia Tasks for Clinic and Home Assessment in Parkinson’s Disease: Reliability and Responsiveness
    Dustin A. Heldman, Enrique Urrea‐Mendoza, Lilia Lovera, David A. Schmerler, Xiomara Garcia, Mohammad Edrees Mohammad, Maria Catalina U. McFarlane, Joseph P. Giuffrida, Alberto Javier Espay, Hubert H. Fernandez · 2017 · Journal of Parkinson s Disease
  26. Sensor-based algorithmic dosing suggestions for oral administration of levodopa/carbidopa microtablets for Parkinson’s disease: a first experience
    Ilias Thomas, Moudud Alam, Filip Bergquist, Dongni Buvarp, Mevludin Memedi, Dag Nyholm, Jerker Westin · 2019 · Journal of Neurology
  27. The Use of Digital Technology and Media in German Parkinson’s Disease Patients
    Franz Marxreiter, Ulrike Buttler, Heiko Gaßner, Florin Gandor, Till Gladow, Bjoern M. Eskofier, Jürgen Winkler, Georg Ebersbach, Jochen Klucken · 2019 · Journal of Parkinson s Disease
  28. Vibrotactile biofeedback devices in Parkinson’s disease: a narrative review
    Helena R. Gonçalves, Margarida Rodrigues, Cristina P. Santos · 2021 · Medical & Biological Engineering & Computing
  29. Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson’s disease and other synucleinopathies: SMARTSPEECH
    Tomáš Kouba, Vojtěch Illner, Jan Rusz · 2022 · BMJ Open
  30. Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study
    Jonas Bendig, Anja Spanz, Jana Leidig, Anika K. Frank, Marcus Stahr, Heinz Reichmann, Kai F. Loewenbrück, Björn H. Falkenburger · 2022 · JMIR Formative Research
  31. A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring
    Daniel Krauss, Lukas Engel, Tabea Ott, Johanna Bräunig, Robert Richer, Markus Gambietz, Nils C. Albrecht, Eva Maria Hille, Ingrid Ullmann, Matthias Braun et al. · 2024 · IEEE Open Journal of Engineering in Medicine and Biology
  32. Objective assessment of gait and posture in premanifest and manifest Huntington disease — A multi-center study
    Heike Beckmann, Stefan Cornelius Bohlen, Carsten Saft C, Rainer Hoffmann, Joachim Gerß, Lisa M. Muratori, Erich Bernd Ringelstein, G. Bernhard Landwehrmeyer, Ralf Reilmann · 2018 · Gait & Posture
  33. Ten Opportunities and Challenges for Advancing Student-Centered Multimodal Learning Analytics
    Sharon L. Oviatt · 2018 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  34. Pilot Evaluation of a Pragmatic Network for Integrated Care and Self‐Management in Parkinson's Disease
    Tiago Mestre, Dorothy Kessler, Diane Côté, Clare E. Liddy, Kednapa Thavorn, Monica Taljaard, David Grimes · 2020 · Movement Disorders
  35. Could Wearable and Mobile Technology Improve the Management of Essential Tremor?
    Daneault, Jean-Francois · 2018 · Frontiers in Neurology
  36. Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case–Control Study
    Lianne Mobbs, Vinuja Fernando, Rannulu Dineth Fonseka, Pragadesh Natarajan, Monish Maharaj, Ralph J. Mobbs · 2025 · Sensors
  37. A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson’s disease using an ambulatory monitor
    Hamid Khodakarami, Navid Shokouhi, Malcolm Kenneth Horne · 2021 · Journal of NeuroEngineering and Rehabilitation
  38. Parkinson’s Disease Patient Monitoring: A Real-Time Tracking and Tremor Detection System Based on Magnetic Measurements
    Filippo Milano, Gianni Cerro, Francesco Santoni, Alessio De Angelis, Gianfranco Miele, Angelo Rodio, Antonio Moschitta, Luigi Ferrigno, Paolo Carbone · 2021 · Sensors
  39. Hold that pose: capturing cervical dystonia's head deviation severity from video
    Zheng Zhang, Elizabeth Cisneros, Ha Yeon Lee, Jeanne P. Vu, Qiyu Chen, Casey N. Benadof, Jacob Whitehill, Ryin Rouzbehani, Dominique T. Sy, Jeannie S. Huang et al. · 2022 · Annals of Clinical and Translational Neurology
  40. Hurdles to developing and scaling remote patients’ health management tools and systems: a scoping review
    Barimwotubiri Ruyobeza, Sara S. Saartjie Grobbelaar, Adéle Botha · 2022 · Systematic Reviews
  41. Prediction of freezing of gait based on self-supervised pretraining via contrastive learning
    Yi Xia, Hua Dong Sun, Baifu Zhang, Yangyang Xu, Qiang Ye · 2023 · Biomedical Signal Processing and Control
  42. Patient-driven N-of-1 in Parkinson’s Disease
    Sara S. Riggare, Kenton T. Unruh, Jasmine Sturr, Josefa Domingos, Jonathan A. Stamford, Per Svenningsson, Maria Hägglund · 2017 · Methods of Information in Medicine
  43. A novel device for continuous monitoring of tremor and other motor symptoms
    L. Battista, A. Romaniello · 2018 · Neurological Sciences
  44. Parkinson's disease and wearable devices, new perspectives for a public health issue: an integrative literature review
    Bruno Bastos Godoi, Gabriel Donato Amorim, Daniel Gonçalves Quiroga, Vanessa M. Holanda, Thiago Júlio, Marcelo Benedet Tournier · 2019 · Revista da Associação Médica Brasileira
  45. Advances in sensor and wearable technologies for Parkinson's disease
    Álvaro Sánchez‐Ferro, Walter Maetzler · 2016 · Movement Disorders
  46. Data-Driven Models for Objective Grading Improvement of Parkinson’s Disease
    Abdul Haleem Butt, Erika Rovini, Hamido Fujita, Carlo Maremmani, Filippo Cavallo · 2020 · Annals of Biomedical Engineering
  47. A wavelet-based approach to monitoring Parkinson's disease symptoms
    Avishai Wagner, Naama Fixler, Yehezkel S. Resheff · 2017 · IEEE International Conference on Acoustics Speech and Signal Processing
  48. A multiple motion sensors index for motor state quantification in Parkinson's disease
    Somayeh Aghanavesi, Jerker Westin, Filip Bergquist, Dag Nyholm, Håkan Askmark, Sten Magnus Aquilonius, Radu Constantinescu, Alexander Vladimirovich Medvedev, Jack Spira, Fredrik Ohlsson et al. · 2020 · Computer Methods and Programs in Biomedicine
  49. Untitled work
    2020 · 10.1145/3394486.3406479
  50. Acceptance and perception of wearable technologies: A survey on Brazilian and European companies
    Gislene Cássia S. Schwambach, Óscar Hernández López, Michele Kremer Sott, Leonel Pablo Tedesco, Rolf Fredi Molz · 2021 · Technology in Society
  51. Harmonic ratio is the most responsive trunk-acceleration derived gait index to rehabilitation in people with Parkinson’s disease at moderate disease stages
    Stefano Filippo Castiglia, Dante Trabassi, Roberto De Icco, Antonella Tatarelli, Micol Avenali, Michele Corrado, Valentina Grillo, Gianluca Coppola, Alessandro Denaro, Cristina Tassorelli et al. · 2022 · Gait & Posture
  52. End Users’ and Other Stakeholders’ Needs and Requirements in the Development of a Personalized Integrated Care Platform (PROCare4Life) for Older People With Dementia or Parkinson Disease: Mixed Methods Study
    Mona Gamal Abd Elnaser Ahmed, Mayca Marín, Daniella How, Elda Judica, Peppino Tropea, Ellen Bentlage, Joaquim José Ferreira, Raquel Bouça‐Machado, Michael Brach · 2022 · JMIR Formative Research
  53. Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson’s Disease Management: Perspectives of Patients and Neurologists
    Carlos Antonio Godoy, Francesco Miele, Laura Mäkitie, Eleonora Fiorenzato, Maija Koivu, Lytske Jantien Bakker, Carin A. Uyl‐de Groot, Ken Redekop, Welmoed Kirsten van Deen · 2024 · Patient
  54. Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease
    Nils Roth, Martin Ullrich, Arne Küderle, Till Gladow, Franz Marxreiter, Heiko Gaßner, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier · 2022 · IEEE Journal of Biomedical and Health Informatics
  55. Robotic technology for Parkinson's disease: Needs, attitudes and concerns of individuals with Parkinson's disease and their family members. A focus group study
    Azriel Kaplan, Shirel Barkan-Slater, Yair Zlotnik, Shelly Levy‐Tzedek · 2023 · International Journal of Human-Computer Studies
  56. Distinguishing features of Parkinson’s disease fallers based on wireless insole plantar pressure monitoring
    Cara Herbers, Raymond Zhang, Arthur G. Erdman, Matthew D. Johnson · 2024 · npj Parkinson s Disease
  57. Patient perspectives on the use of digital medical devices and health data for AI-driven personalised medicine in Parkinson’s Disease
    Ivana Paccoud, Mayca Marín Valero, Laura Carrasco Marín, Noémi Bontridder, Alzhraa Ibrahim, Jürgen Winkler, Messaline Fomo, Stefano Sapienza, Fouad Khoury, Jean‐Christophe Corvol et al. · 2024 · Frontiers in Neurology
  58. Pupillary Response to Cognitive Demand in Parkinson’s Disease: A Pilot Study
    Melike Kahya, Sanghee Moon, Kelly E. Lyons, Rajesh Pahwa, Abiodun Akinwuntan, Hannes Devos · 2018 · Frontiers in Aging Neuroscience
  59. Recent advances in understanding and treatment of Parkinson’s disease
    Arjun Tarakad, Joseph J. Jankovic · 2020 · Faculty Reviews
  60. Domotics, smart homes and Parkinson’s disease
    Alastair John Noyce · 2021 · UCL Discovery (University College London)
  61. Physical Activity
    Gita Khalili Moghaddam, Christopher Robin Lowe · 2018 · SpringerBriefs in applied sciences and technology
  62. Near-Optimal Energy Management for Energy Harvesting IoT Devices Using Imitation Learning
    Nuzhat Yamin, Ganapati Bhat · 2022 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  63. Parkinson’s disease, antiparkinson medicines, and driving
    E. Alvarez · 2016 · Expert Review of Neurotherapeutics
  64. Societal Burden and Persisting Unmet Needs of Parkinson’s Disease
    К. Ray Chaudhuri, Nataliya Titova · 2019 · European Neurological Review
  65. Commercial symptom monitoring devices in Parkinson’s disease: benefits, limitations, and trends
    Daniel Rodríguez-Martín, Carlos Pérez‐López · 2024 · Frontiers in Neurology
  66. Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data
    Hwayoung Park, Changhong Youm, Sang‐Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim · 2025 · Journal of NeuroEngineering and Rehabilitation
  67. Clinical Trials for Neurogenic Orthostatic Hypotension: A Comprehensive Review of Endpoints, Pitfalls, and Challenges
    Jose‐Alberto Palma, Horacio Kaufmann · 2020 · Seminars in Neurology
  68. Clinical utility of a personalized and long-term monitoring device for Parkinson's disease in a real clinical practice setting: An expert opinion survey on STAT-ON™
    D. Santos García, Nuria López-Ariztegui, Esther Cubo, Ana Vinagre‐Aragón, R. García-Ramos, C. Borrué, Gustavo Fernández‐Pajarín, Nuria Suelves Caballol, Iria Cabo, José María Barrios-López et al. · 2020 · Neurología
  69. Smartphones for musculoskeletal research – hype or hope? Lessons from a decennium of mHealth studies
    Anna L. Beukenhorst, Katie L. Druce, Diederik De Cock · 2022 · BMC Musculoskeletal Disorders
  70. Parkinson's disease diagnosis by voice data using particle swarm optimization-extreme learning machine approach
    Musatafa Abbas Abbood Albadr, Masri Binti Ayob, Sabrina Binti Tiun, Raad Z. Homod, Fahad Taha AL‐Dhief, Mohammed Hasan Mutar · 2024 · Multimedia Tools and Applications
  71. A framework to standardize gait study protocols in Parkinson's disease
    Martina Mancini, Jeffrey M. Hausdorff, Elisa Pelosin, Paolo Bonato, Richard M. Camicioli, Terry D. Ellis, Jochen Klucken, Larry Gifford, Alfonso A. Fasano, Alice Nieuwboer et al. · 2025 · Journal of Parkinson s Disease
  72. Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors
    Jean‐François Daneault, Sunghoon Ivan Lee, Fatemeh Noushin Golabchi, Shyamal Patel, Ludy C. Shih, Sabrina Paganoni, Paolo Bonato · 2017 · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies
  73. Assessing Upper Extremity Motor Dysfunction Using an Augmented Reality Game
    Marina Anca Cidota, Paulina J.M. Bank, P. W. Ouwehand, Stephan G. Lukosch · 2017 · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR
  74. Decomposition of complex movements into primitives for Parkinson's disease assessment
    Eleftheria Kyriaki Pissadaki, Avner Abrami, Stephen Heisig, Erhan Bilal, M. Cavallo, Paul W. Wacnik, Kelley Erb, Daniel R. Karlin, Peter R. Bergethon, S. P. Amato et al. · 2018 · IBM Journal of Research and Development
  75. Evolution of the digital biomarker ecosystem
    Justin M. Wright, Oliver B. Regele, Lampros C. Kourtis, Sean M. Pszenny, Rhea Sirkar, Christopher Kovalchick, Graham B. Jones · 2017 · Digital Medicine
  76. Wearable sensors for assessing disease severity and progression in Progressive Supranuclear Palsy
    Filomena Abate, Michela Russo, Carlo Ricciardi, Maria Francesca Tepedino, Maria Romano, Roberto Erro, Maria Teresa Pellecchia, Marianna Amboni, Paolo Barone, Marina Picillo · 2023 · Parkinsonism & Related Disorders
  77. Present and Future of Parkinson’s Disease in Spain: PARKINSON-2030 Delphi Project
    Diego Santos‐García, Marta Blázquez Estrada, Matilde Calopa, Francisco Escamilla Sevilla, Eric Freire, Pedro Ruiz, Francisco Grandas, Jaime Kulisevsky, Lydia López Manzanares, Juan Carlos Martínez‐Castrillo et al. · 2021 · Brain Sciences
  78. Parkinson's disease and Covid-19: The effect and use of telemedicine
    Aleksandra M. Podlewska, Daniel J. van Wamelen · 2022 · International review of neurobiology
  79. Parkinson’s disease multimodal complex treatment improves gait performance: an exploratory wearable digital device-supported study
    Raphael Scherbaum, Andreas Moewius, Judith Oppermann, Johanna Geritz, Clint Hansen, Ralf Gold, Walter Maetzler, Lars Tönges · 2022 · Journal of Neurology
  80. Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states: Results from 7 patients
    Ilias Thomas, Filip Bergquist, Constantinescu Radu, Dag Nyholm, Marina Senek, Mevludin Memedi · 2017 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  81. Domotics, Smart Homes, and Parkinson’s Disease
    Cristina Simonet, Alastair John Noyce · 2021 · Journal of Parkinson s Disease
  82. Recent progress in wearable tactile sensors combined with algorithms based on machine learning and signal processing
    Xin Jiang, Ruoran Chen, Hongwei Zhu · 2021 · APL Materials
  83. Do neuropsychiatric fluctuations temporally match motor fluctuations in Parkinson’s disease?
    Eleonora Del Prete, Emmanuelle Schmitt, Sara Meoni, Valérie Fraix, Anna Castrioto, Pierre Pélissier, Roberto Ceravolo, Elena Moro · 2022 · Neurological Sciences
  84. Assessment of the Elderly on Perceived Needs, Benefits and Barriers: Inputs for the Design of Intelligent Assistive Technology
    Erlito M. Albina, Alexander Arcenio Hernandez · 2018 · International Conference on ICT and Knowledge Engineering
  85. Outcome Measures for Evaluating the Effect of a Multidisciplinary Intervention on Axial Symptoms of Parkinson's Disease
    Raquel Bouça‐Machado, Filipa Pona‐Ferreira, Nilza Gonçalves, Mariana Leitão, Ricardo Cacho, Ana Castro Caldas, Joaquim José Ferreira, and CNS Multidisciplinary Team · 2020 · Frontiers in Neurology
  86. Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease
    Karen Otte, Tobias Ellermeyer, Tim-Sebastian Vater, Marlen Voigt, Daniel Kroneberg, Ludwig Rasche, Theresa Krüger, Hanna Marie Röhling, Bastian Kayser, Sebastian Mansow‐Model et al. · 2020 · Sensors
  87. Self-tracking in Parkinson's The Lived Efforts of Self-management
    Jenny Vafeiadou, Asimina Vasalou, George Roussos · 2021 · Proceedings of the ACM on Human-Computer Interaction
  88. Intraoperative Quantification of MDS-UPDRS Tremor Measurements Using 3D Accelerometry: A Pilot Study
    Annemarie Smid, Jan Willem J. Elting, J. Marc C. van Dijk, Bert Otten, D. L. Marinus Oterdoom, Katalin Tamási, Tjitske Heida, Teus van Laar, Gea Drost · 2022 · Journal of Clinical Medicine
  89. Exploring crowdsourced self-care techniques: A study on Parkinson’s disease
    Elina Kuosmanen, Eetu Huusko, Niels van Berkel, Francisco Nunes, Julio Vega, Jorge Gonçalves, Mohamed Khamis, Augusto Esteves, Denzil Ferreira, Simo Johannes Hosio · 2023 · International Journal of Human-Computer Studies
  90. Highly sensitive biosensor based on IGZO thin-film transistors for detection of Parkinson's disease
    Tongzheng Li, Tongying Xu, Zhengyang Yao, Yanan Ding, Guoxia Liu, Fukai Shan · 2023 · Applied Physics Letters
  91. SensorGAN: A Novel Data Recovery Approach for Wearable Human Activity Recognition
    Dina Hussein, Ganapati Bhat · 2023 · ACM Transactions on Embedded Computing Systems
  92. Digital biomarkers in Parkinson’s disease
    Anastasia M. Bougea · 2024 · Advances in clinical chemistry
  93. Response to Telemedicine Visits From Patients With Parkinsonism During the COVID-19 Pandemic on Postvisit Surveys
    Wissam Deeb, Christopher W. Hess, Noheli Bedenfield, Bhavana Patel, Kathryn P. L. Moore, Melissa J. Armstrong · 2021 · Journal of Patient Experience
  94. Feasibility of a Mobile-Based System for Unsupervised Monitoring in Parkinson’s Disease
    Raquel Bouça‐Machado, Filipa Pona‐Ferreira, Mariana Leitão, Ana Clemente, Diogo Vila‐Viçosa, Linda Azevedo Kauppila, Rui M. Costa, Ricardo Matias, Joaquim José Ferreira · 2021 · Sensors
  95. Wearable Piezoelectric Energy Harvesting From Human Gait: Modeling and Experimental Validation
    Yiğit Tuncel, Toygun Başaklar, Umit Yusuf Ogras · 2022 · IEEE Sensors Journal
  96. Kinematic and Clinical Outcomes to Evaluate the Efficacy of a Multidisciplinary Intervention on Functional Mobility in Parkinson's Disease
    Raquel Bouça‐Machado, Diogo Branco, Gustavo Fonseca, Raquel Fernandes, Daisy Abreu, Tiago Guerreiro, Joaquim José Ferreira, The CNS Physiotherapy Study group · 2021 · Frontiers in Neurology
  97. The Parkinson’s disease waiting room of the future: measurements, not magazines
    Jay L. Alberts, Umar Shuaib, Hubert H. Fernandez, Benjamin L. Walter, David Schindler, Mandy Miller Koop, Anson B. Rosenfeldt · 2023 · Frontiers in Neurology
  98. The Difficulties of Managing Pain in People Living with Frailty: The Potential for Digital Phenotyping
    Jemima Collins, David Andrew Walsh, John R. F. Gladman, Monica Pătraşcu, Bettina Sandgathe Husebo, Esmee Adam, Alison Cowley, Adam Lee Gordon, Giulia Ogliari, Hanneke J. A. Smaling et al. · 2024 · Drugs & Aging
  99. Rate of motor progression in Parkinson’s disease: a systematic review and meta-analysis
    Ayla Pauwels, Albert L G Phan, Catherine Ding, Thanh G. Phan, Peter A. Kempster · 2024 · Frontiers in Neurology
  100. Wearable Sensors for Prodromal Motor Assessment of Parkinson’s Disease using Supervised Learning
    Erika Rovini, Alessandra Moschetti, Laura Fiorini, Dario Esposito, Carlo Maremmani, Filippo Cavallo · 2019 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)