E-health Support in People with Parkinson’s Disease with Smart Glasses: A Survey of User Requirements and Expectations in the Netherlands
Open accessAbstract
Recent advances in smart glasses, wearable computers in the form of glasses, bring new therapeutic and monitoring possibilities for people with Parkinson’s disease (PD). For example, it can provide visual and auditory cues during activities of daily living that have long been used to improve gait disturbances. Furthermore, smart glasses can personalize therapies based on the state of the user and/or the user environment in real-time using object recognition and motion tracking. To provide guidelines for developers in creating new PD applications for smart glasses, a self-reported questionnaire was designed to survey the requirements, constraints, and attitudes of people with PD with respect to this new technology. The survey was advertised online over an 11 month period on the website of the Parkinson Vereninging. The results were derived from 62 participants (54.8% men and 45.2% women, average age of 65.7 ± 9.1), representing a response rate of 79.5% . The participants were overall very enthusiastic about smart glasses as an assistive technology to facilitate daily living activities, especially its potential to self-manage motor problems and provide navigational guidance, thereby restoring their confidence and independence. The reported level of usage of mobile technologies like tablets and smartphones suggests that smart glasses could be adopted relatively easily, especially by younger people with PD. However, the respondents were concerned about the cost, appearance, efficacy, and potential side effects of smart glasses. To accommodate a wide range of symptoms, personal preferences, and comfort level with technology, smart glasses should be designed to allow simple operation and personalization.
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In general, individuals with epilepsy, Parkinson's disease, and stroke were positive towards using wearables.
“In general, individuals with epilepsy, PD, and stroke were positive towards using wearables, such as body-worn small separate sensor units [64], gloves [65], smart glasses [66], and “intelligent” clothes [67].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
Individuals with epilepsy, Parkinson's disease, and stroke reported a wide spectrum of expectations in terms of usability of wearables.
“Individuals with epilepsy, PD, and stroke reported a wide spectrum of expectations in terms of usability of wearables [65–69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
Both epilepsy and Parkinson's disease participants described waterproof design as a desirable feature of wearables.
“Both epilepsy and PD participants further described desirable features of wearables, including the possibility of real-time analysis of data, getting reminders to take drugs and waterproof design [66, 67, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
Participants with Parkinson's disease and stroke described that wearables should be easy to learn and use.
“Participants with PD and stroke described that wearables should be easy to learn and use [65, 66, 68, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
Parkinson's disease participants wanted wearables to assist with physiotherapy training, to improve gait and balance problems.
“PD participants wanted wearables to assist with physiotherapy training, to improve gait and balance problems [66].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
Both epilepsy and Parkinson's disease participants described the possibility of real-time analysis of data as a desirable feature of wearables.
“Both epilepsy and PD participants further described desirable features of wearables, including the possibility of real-time analysis of data, getting reminders to take drugs and waterproof design [66, 67, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
Both epilepsy and Parkinson's disease participants described getting reminders to take drugs as a desirable feature of wearables.
“Both epilepsy and PD participants further described desirable features of wearables, including the possibility of real-time analysis of data, getting reminders to take drugs and waterproof design [66, 67, 69].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [66]
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Cites
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,406 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373 · see citing works
Chang, A.-M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418490112 · Cited by 1,430 · cited 1× · see citing works
“Moreover, the usage of LED displays such as eReaders in the evening can negatively affect sleep, circadian rhythm, and daytime alertness [31] through the suppression of melatonin release [32–34] and a shift in the circadian clock [32, 35].”
BackgroundZeitzer, J. M., Dijk, D., Kronauer, R. E., Brown, E. N., & Czeisler, C. A. (2000) · The Journal of Physiology · doi:10.1111/j.1469-7793.2000.00695.x · Cited by 1,175 · see citing works
Retinal damage by light in rats.
Noell, W. K., Walker, V. S., Kang, B. S., & Berman, S. (1966) · PubMed · Cited by 1,107 · see citing works
A Phase Response Curve to Single Bright Light Pulses in Human Subjects
Khalsa, S. B. S., Jewett, M. E., Cajochen, C., & Czeisler, C. A. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.040477 · Cited by 1,040 · see citing works
Cueing training in the home improves gait-related mobility in Parkinson's disease: the RESCUE trial
Nieuwboer, A., Kwakkel, G., Rochester, L., Jones, D., van Wegen, E., Willems, A. M., Chavret, F., Hetherington, V, Baker, K., & Lim, I. (2007) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.200x.097923 · Cited by 857 · see citing works
Rhythmic auditory stimulation in gait training for Parkinson's disease patients
Thaut, M. H., McIntosh, G. C., Rice, R. R., Miller, R. A., Rathbun, J., & Brault, J. M. (1996) · Movement Disorders · doi:10.1002/mds.870110213 · Cited by 839 · see citing works
The pathogenesis of gait hypokinesia in Parkinson's disease
Morris, M. E., Iansek, R., Matyas, T. A., & Summers, J. J. (1994) · Brain · doi:10.1093/brain/117.5.1169 · Cited by 709 · see citing works
Retinal sensitivity to damage from short wavelength light
Ham, W. T., Mueller, H. A., & Sliney, D. H. (1976) · Nature · doi:10.1038/260153a0 · Cited by 704 · see citing works
Rhythmic auditory-motor facilitation of gait patterns in patients with Parkinson's disease.
McIntosh, G. C., Brown, S., Rice, R. R., & Thaut, M. H. (1997) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.62.1.22 · Cited by 642 · see citing works
Lim, I., van Wegen, E. E. H., de Goede, C. J. T., Deutekom, M. D. L. F., Nieuwboer, A., Willems, A., Jones, D. E., Rochester, L., & Kwakkel, G. (2005) · Clinical Rehabilitation · doi:10.1191/0269215505cr906oa · Cited by 494 · see citing works
The basal ganglia and posture.
MARTIN, J. P. (1967) · Medical Entomology and Zoology · Cited by 470 · see citing works
Dual-Task Decrements in Gait: Contributing Factors Among Healthy Older Adults
Hausdorff, J. M., Schweiger, A., Herman, T., Yogev‐Seligmann, G., & Giladi, N. (2008) · The Journals of Gerontology Series A · doi:10.1093/gerona/63.12.1335 · Cited by 449 · see citing works
Motor blocks in Parkinson's disease
Giladi, N., McMahon, D. J., Przedborski, S., Flaster, E. R., Guillory, S. A., Kostić, V., & Fahn, S. (1992) · Neurology · doi:10.1212/wnl.42.2.333 · Cited by 431 · see citing works
Wood, B., Rea, M. S., Plitnick, B., & Figueiro, M. G. (2013) · Applied Ergonomics · doi:10.1016/j.apergo.2012.07.008 · Cited by 428 · see citing works
Human Melatonin Suppression by Light is Intensity Dependent
Mclntyre, I. M., Norman, T. R., Burrows, G. D., & Armstrong, S. M. (1989) · Journal of Pineal Research · doi:10.1111/j.1600-079x.1989.tb00412.x · Cited by 389 · see citing works
Quantitative wearable sensors for objective assessment of Parkinson's disease
Maetzler, W., Domingos, J., Srulijes, K., Ferreira, J. J., & Bloem, B. R. (2013) · Movement Disorders · doi:10.1002/mds.25628 · Cited by 374 · see citing works
Self-citationVisual control of locomotion in Parkinson's disease
Azulay, J., Mesure, S., Amblard, B., Blin, O. J., Sangla, I., & Pouget, J. (1999) · Brain · doi:10.1093/brain/122.1.111 · Cited by 338 · see citing works
Compulsive use of dopamine replacement therapy in Parkinson's disease: reward systems gone awry?
Lawrence, A. D., Evans, A. H., & Lees, A. J. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00529-5 · Cited by 280 · see citing works
AN ANALYSIS OF PARKINSONIAN GAIT
KNUTSSON, E. (1972) · Brain · doi:10.1093/brain/95.3.475 · Cited by 260 · see citing works
Possible mechanisms of photoreceptor damage by light in mammalian eyes
Noell, W. K. (1980) · Vision Research · doi:10.1016/0042-6989(80)90055-3 · Cited by 248 · see citing works
Brainard, G. C., Lewy, A. J., Menaker, M., Fredrickson, R. H., Miller, L. S., Weleber, R. G., Cassone, V., & Hudson, D. (1988) · Brain Research · doi:10.1016/0006-8993(88)90820-7 · Cited by 233 · see citing works
Impulsive and compulsive behaviors in Parkinson's disease
Evans, A. H., Strafella, A. P., Weintraub, D. A., & Stacy, M. A. (2009) · Movement Disorders · doi:10.1002/mds.22505 · Cited by 233 · see citing works
Rhodopsin-mediated blue-light damage to the rat retina: effect of photoreversal of bleaching.
Grimm, C., Wenzel, A., Williams, T. P., Rol, P. O., Hafezi, F., & Remé, C. E. (2001) · PubMed · Cited by 232 · see citing works
Impact of physical therapy for Parkinson's disease: A critical review of the literature
Kwakkel, G., de Goede, C. J. T., & van Wegen, E. E. H. (2007) · Parkinsonism & Related Disorders · doi:10.1016/s1353-8020(08)70053-1 · Cited by 213 · see citing works
Walking patterns of men with parkinsonism.
Mp, M., Sb, S., Gm, G., & Wj, D. (1978) · PubMed · Cited by 199 · see citing works
Rochester, L., Nieuwboer, A., Baker, K., Hetherington, V., Willems, A.-M., Chavret, F., Kwakkel, G., Van Wegen, E., Lim, I., & Jones, D. (2007) · Journal of Neural Transmission · doi:10.1007/s00702-007-0756-y · Cited by 150 · see citing works
Disorders of Posture, Balance, and Gait in Parkinson's Disease
Rogers, M. W. (1996) · Clinics in Geriatric Medicine · doi:10.1016/s0749-0690(18)30203-9 · Cited by 137 · see citing works
Psychosocial factors in Parkinson's disease
MacCarthy, B., & Brown, R. G. (1989) · British Journal of Clinical Psychology · doi:10.1111/j.2044-8260.1989.tb00810.x · Cited by 126 · see citing works
McNaney, R., Vines, J., Roggen, D., Balaam, M., Zhang, P., Poliakov, I., & Olivier, P. L. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557092 · Cited by 124 · see citing works
Evaluation of a modified inverted walking stick as a treatment for Parkinsonian freezing episodes
Dietz, M. A., Goetz, C. G., & Stebbins, G. T. (1990) · Movement Disorders · doi:10.1002/mds.870050311 · Cited by 104 · see citing works
Parkinson’s disease-related disorders in the impulsive-compulsive spectrum
Wolters, E. C., van der Werf, Y. D., & van den Heuvel, O. A. (2008) · Journal of Neurology · doi:10.1007/s00415-008-5010-5 · Cited by 85 · see citing works
Does Cueing Training Improve Physical Activity in Patients With Parkinson’s Disease?
Lim, I., van Wegen, E. E. H., Jones, D. E., Rochester, L., Nieuwboer, A., Willems, A., Baker, K., Hetherington, V., & Kwakkel, G. (2010) · Neurorehabilitation and neural repair · doi:10.1177/1545968309356294 · Cited by 72 · see citing works
Brauer, S., Woollacott, M. H., Lamont, R. M., Clewett, S., O’Sullivan, J. D., Silburn, P. A., Mellick, G. D., & Morris, M. E. (2011) · BMC Neurology · doi:10.1186/1471-2377-11-90 · Cited by 70 · see citing works
The effects of visual rhythms and optic flow on stride patterns of patients with Parkinson's disease
van Wegen, E. E. H., Lim, I., de Goede, C. J. T., Nieuwboer, A., Willems, A., Jones, D. E., Rochester, L., Hetherington, V., Berendse, H. W., Zijlmans, J. C. M., et al. (2005) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2005.06.009 · Cited by 65 · see citing works
Quantitative assessments of gait and mobility in Parkinson's disease.
Stern, G. M., Se, F., Imms, F. J., & Prestidge, S. P. (1983) · PubMed · Cited by 64 · see citing works
Emerging therapies for gait disability and balance impairment: Promises and pitfalls
Maetzler, W., Nieuwhof, F., Hasmann, S. E., & Bloem, B. R. (2013) · Movement Disorders · doi:10.1002/mds.25682 · Cited by 57 · cited 2× · see citing works
“As these problems can persist in spite of optimal drug treatments and deep brain stimulation, alternative rehabilitation therapies are required [8].”
BackgroundSelf-citationHarnessing Cueing Training for Neuroplasticity in Parkinson Disease
van Wegen, E. E. H., Hirsch, M. A., Huiskamp, M., & Kwakkel, G. (2014) · Topics in Geriatric Rehabilitation · doi:10.1097/tgr.0000000000000005 · Cited by 29 · see citing works
Parkinson's disease and parkinsonism in the elderly
Meara, J., & Bhowmick, B. K. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511585012.004 · Cited by 28 · see citing works
Parkinson's Disease and Parkinsonism in the Elderly
(2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511585012 · Cited by 14 · see citing works
Time to Port Augmented Reality Health Apps to Smart Glasses?
Wiederhold, B. K. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2013.1503 · Cited by 13 · see citing works
Flagged first, then by citations
1 of the 43 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Johansson, D., Malmgren, K., & Alt Murphy, M. (2018) · Journal of Neurology · doi:10.1007/s00415-018-8786-y · Cited by 188 · see citing works
Physical therapy and occupational therapy in Parkinson's disease
Radder, D. L. M., Sturkenboom, I. H. W. M., van Nimwegen, M., Keus, S. H. J., Bloem, B. R., & de Vries, N. M. (2016) · International Journal of Neuroscience · doi:10.1080/00207454.2016.1275617 · Cited by 174 · see citing works
Self-citationDesigning, Conducting, and Reporting Survey Studies: A Primer for Researchers
Zimba, O., & Gasparyan, A. Y. (2023) · Journal of Korean Medical Science · doi:10.3346/jkms.2023.38.e403 · Cited by 171 · see citing works
A survey on computer-assisted Parkinson's Disease diagnosis
Pereira, C. R., Pereira, D. R., Weber, S. A. T., Hook, C., de Albuquerque, V. H. C., & Papa, J. P. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.08.007 · Cited by 143 · see citing works
Freezing of gait: Promising avenues for future treatment
Gilat, M., de Lima, A. L. S., Bloem, B. R., Shine, J. M., Nonnekes, J. H., & Lewis, S. J. G. (2018) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2018.03.009 · Cited by 110 · see citing works
Self-citationJanssen, S., Bolte, B., Nonnekes, J. H., Bittner, M., Bloem, B. R., Heida, T., Zhao, Y., & Wezel, R. J. A. V. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00279 · Cited by 89 · see citing works
Self-citationConvolutional Neural Networks Applied for Parkinson’s Disease Identification
Pereira, C. R., Pereira, D. R., Papa, J. P., de Rosa, G. H., & Yang, X. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50478-0_19 · Cited by 87 · see citing works
AlMahadin, G., Lotfi, A., Zysk, E., Siena, F. L., Carthy, M. M., & Breedon, P. (2020) · BMC Neurology · doi:10.1186/s12883-020-01996-7 · Cited by 87 · see citing works
Zhao, Y., Nonnekes, J. H., Storcken, E. J. M., Janssen, S., van Wegen, E. E. H., Bloem, B. R., Dorresteijn, L. D. A., van Vugt, J. P. P., Heida, T., & Wezel, R. J. A. V. (2016) · Journal of Neurology · doi:10.1007/s00415-016-8115-2 · Cited by 85 · see citing works
Self-citationParkinson's disease monitoring from gait analysis via foot-worn sensors
Aşuroğlu, T., Açıcı, K., Erdaş, Ç. B., Toprak, M. K., Erdem, H., & Oğul, H. (2018) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2018.06.002 · Cited by 80 · see citing works
A review on intelligent wearables: Uses and risks
Xue, Y. (2019) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.173 · Cited by 71 · see citing works
Smart Gait-Aid Glasses for Parkinson's Disease Patients
Ahn, D., Chung, H., Lee, H., Kang, K., Ko, P., Kim, N. S., & Park, T. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2655344 · Cited by 68 · see citing works
Neurorehabilitation for Parkinson's disease: Future perspectives for behavioural adaptation
Ekker, M. S., Janssen, S., Nonnekes, J. H., Bloem, B. R., & de Vries, N. M. (2015) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2015.08.031 · Cited by 66 · see citing works
Self-citationAccuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
Auepanwiriyakul, C., Waibel, S., Songa, J., Bentley, P., & Faisal, A. A. (2020) · Sensors · doi:10.3390/s20247313 · Cited by 56 · see citing works
Kenny, L., Moore, K., Riordan, C. O., Fox, S., Barton, J. J., Tedesco, S. A., Sica, M., Crowe, C., Alamäki, A., Condell, J. V., et al. (2022) · JMIR Formative Research · doi:10.2196/27418 · Cited by 41 · see citing works
Design of Motor Skill Recognition and Hierarchical Evaluation System for Table Tennis Players
Shi, Z., Jia, Y., Shi, G., Zhang, K., Ji, L., Wang, D., & Wu, Y. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3346880 · Cited by 28 · see citing works
Huang, J., Wang, H., Wu, Q., Yin, J., Zhou, H., & He, Y. (2024) · Interdisciplinary medicine · doi:10.1002/inmd.20230037 · Cited by 26 · see citing works
Murphy, M. A., Bergquist, F., Hagström, B., Hernández, N., Johansson, D., Ohlsson, F., Sandsjö, L., Wipenmyr, J., & Malmgren, K. (2019) · BMC Biomedical Engineering · doi:10.1186/s42490-019-0002-3 · Cited by 21 · see citing works
Impact of Smart Glasses on Patient Care Time in Emergency Medical Services Ambulance
Apiratwarakul, K., Cheung, L. W., & Ienghong, K. (2023) · Prehospital and Disaster Medicine · doi:10.1017/s1049023x23006489 · Cited by 16 · see citing works
Hirczy, S. S., Zabetian, C. P., & Lin, Y.-H. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1472691 · Cited by 15 · see citing works
Bona, S., Donvito, G., Cozza, F., Malberti, I., Vaccari, P., Lizio, A., Greco, L. C., Carraro, E., Sansone, V., & Lunetta, C. (2019) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2019.1683237 · Cited by 15 · see citing works
Designing socially acceptable mHealth technologies for Parkinson's disease self-management
Grosjean, S., Bate, E., & Mestre, T. (2020) · Finnish Journal of eHealth and eWelfare · doi:10.23996/fjhw.95231 · Cited by 11 · see citing works
Development of a Smart Glass Application for Wound Management
Klinker, K., Wiesche, M., & Krcmar, H. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-19504-5_11 · Cited by 7 · see citing works
Tsai, M.-F., Atputharaj, S., Zariffa, J., & Wang, R. H. (2022) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2022.2129851 · Cited by 6 · see citing works
Martens, K. A. E., Shine, J. M., & Lewis, S. J. G. (2017) · Springer eBooks · doi:10.1007/978-3-319-48980-3_25 · Cited by 3 · see citing works
Personalized Visualization of the Gestures of Parkinson’s Disease Patients with Virtual Reality
Sakkas, K., Dimitriou, E. G., Ntagka, N. E., Γιαννακέας, Ν., Kalafatakis, K., Tzallas, A. T., & Glavas, E. (2024) · Future Internet · doi:10.3390/fi16090305 · Cited by 3 · see citing works
DAPHNE: A Novel e-Health System for the Diagnosis and the Treatment of Parkinson’s Disease
Rovini, E., Santarelli, L., Esposito, D., Maremmani, C., & Cavallo, F. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-3-030-04672-9_19 · Cited by 3 · see citing works
Entrenamiento motor en el continuo de la realidad a la virtualidad
Torres-Narváez, M.-R., Sánchez, J., Pérez-Viatela, A., Arias, E. B., Villamil-Ballesteros, J., & Valero-Sánchez, K. (2018) · Revista de la Facultad de Medicina · doi:10.15446/.v66n1.59834 · Cited by 3 · see citing works
Das, J., Barry, G., Vitório, R. R., Walker, R. W., McDonald, C., Morris, R., & Stuart, S. (2025) · BMC Digital Health · doi:10.1186/s44247-025-00182-4 · Cited by 2 · see citing works
Eyewear-Based System for Sharing First-Person Video to Remote Viewers
Aiordăchioae, A. (2019) · E-Health and Bioengineering Conference (EHB) · doi:10.1109/ehb47216.2019.8969871 · Cited by 2 · see citing works
Liu, Y.-K., Huang, T.-Y., & Luong, M. H. N. (2020) · International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI) · doi:10.1145/3439231.3439251 · Cited by 1 · see citing works
Technological Devices as an Opportunity for People with Parkinson
Marešová, P. (2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-74935-8_6 · Cited by 1 · see citing works
Head and Neck Jerks and Tremor
Marani, E., & Heida, C. (2018) · Springer eBooks · doi:10.1007/978-3-319-92105-1_17
Grosjean, S., Bate, E., & Mestre, T. (2019) · doi:10.2196/preprints.16909
AlMahadin, G., Lotfi, A., Zysk, E., Siena, F. L., Carthy, M. M., & Breedon, P. (2020) · Figshare · doi:10.6084/m9.figshare.13257485
AlMahadin, G., Lotfi, A., Zysk, E., Siena, F. L., Carthy, M. M., & Breedon, P. (2020) · Figshare · doi:10.6084/m9.figshare.13257482
A LEAP Toward Precision Medicine for Parkinson's Disease
Oikonomou, E. D., Sakkas, K., Ntagka, N. E., Γιαννακέας, Ν., Kalafatakis, K., Μπανταλούκας-Αρτζμάντ, Α., Glavas, E., Tzallas, A. T., & Μιλτιάδους, Α. (2025) · South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) · doi:10.1109/seeda-cecnsm68644.2025.11330019
Papamichael, E., Michailidou, C., & Giannaki, C. D. (2026) · Digital Health · doi:10.1177/20552076261473784
- Authors
- Zhao, Y., Heida, T., van Wegen, E. E. H., Bloem, B. R., & van Wezel, R. J. A.
- Affiliations
- University of Twente (NL)
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
- Radboud University Medical Center (NL)
- Biomedical Signal and Systems, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
- Corresponding author
- Zhao, Yan
- Venue
- Journal of Parkinson’s Disease
- Publisher
- SAGE Publications
- Published
- 2015-06-01
- Volume
- 5
- Issue
- 2
- Pages
- 369-378
- ISSN
- 1877-7171 (ISSN-L)
- 1877-718X
- OpenAlex
- W1781325005
- Cited by
- 39
- References
- 43
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 2 · 2020: 6 · 2019: 8 · 2018: 7 · 2017: 3 · 2016: 3 · 2015: 1
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Parkinson s Disease (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- University of Twente Research Information (publishedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- VU Research Portal (submittedVersion, other-oa)
- University of Twente Research Information (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Fonds NutsOhra (1303-071)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (14-001, 058-14-001)
- Parkinson Vereniging
- FP7 People: Marie-Curie Actions (FP7-PEOPLE-2013-ITN, FP7-PEOPLE-2013)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- Parkinson's disease, smart glasses, wearable devices, user requirements, user expectations, assistive technology, gait disturbance, activities of daily living, self-management, technology adoption, technology acceptance, user preferences, e-health
- MeSH terms
- Activities of Daily Living, Adult, Aged, Aged, 80 and over, Eyeglasses, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Netherlands, Parkinson Disease, Surveys and Questionnaires, Self-Help Devices, Computers, Handheld
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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