Skip to main content
Top
Published in: Journal of Neurology 8/2018

Open Access 01-08-2018 | Review

Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: a mixed-methods systematic review

Authors: Dongni Johansson, Kristina Malmgren, Margit Alt Murphy

Published in: Journal of Neurology | Issue 8/2018

Login to get access

Abstract

Objectives

Wearable technology is increasingly used to monitor neurological disorders. The purpose of this systematic review was to synthesize knowledge from quantitative and qualitative clinical researches using wearable sensors in epilepsy, Parkinson’s disease (PD), and stroke.

Methods

A systematic literature search was conducted in PubMed and Scopus spanning from 1995 to January 2017. A synthesis of the main findings, reported adherence to wearables and missing data from quantitative studies, is provided. Clinimetric properties of measures derived from wearables in laboratory, free activities in hospital, and free-living environment were also evaluated. Qualitative thematic synthesis was conducted to explore user experiences and acceptance of wearables.

Results

In total, 56 studies (50 reporting quantitative and 6 reporting qualitative data) were included for data extraction and synthesis. Among studies reporting quantitative data, 5 were in epilepsy, 21 PD, and 24 studies in stroke. In epilepsy, wearables are used to detect and differentiate seizures in hospital settings. In PD, the focus is on quantification of cardinal motor symptoms and medication-evoked adverse symptoms in both laboratory and free-living environment. In stroke upper extremity activity, walking and physical activity have been studied in laboratory and during free activities. Three analytic themes emerged from thematic synthesis of studies reporting qualitative data: acceptable integration in daily life, lack of confidence in technology, and the need to consider individualization.

Conclusions

Wearables may provide information of clinical features of interest in epilepsy, PD and stroke, but knowledge regarding the clinical utility for supporting clinical decision making remains to be established.
Appendix
Available only for authorised users
Literature
4.
go back to reference Richardson WS, Wilson MC, Nishikawa J, Hayward RS (1995) The well-built clinical question: a key to evidence-based decisions. ACP J Club 123(3):A12–A13PubMed Richardson WS, Wilson MC, Nishikawa J, Hayward RS (1995) The well-built clinical question: a key to evidence-based decisions. ACP J Club 123(3):A12–A13PubMed
17.
go back to reference Bayly J, Carino J, Petrovski S, Smit M, Fernando DA, Vinton A, Yan B, Gubbi JR, Palaniswami MS, O’Brien TJ (2013) Time-frequency mapping of the rhythmic limb movements distinguishes convulsive epileptic from psychogenic nonepileptic seizures. Epilepsia 54(8):1402–1408. https://doi.org/10.1111/epi.12207 CrossRefPubMed Bayly J, Carino J, Petrovski S, Smit M, Fernando DA, Vinton A, Yan B, Gubbi JR, Palaniswami MS, O’Brien TJ (2013) Time-frequency mapping of the rhythmic limb movements distinguishes convulsive epileptic from psychogenic nonepileptic seizures. Epilepsia 54(8):1402–1408. https://​doi.​org/​10.​1111/​epi.​12207 CrossRefPubMed
19.
go back to reference Dunnewold RJ, Hoff JI, van Pelt HC, Fredrikze PQ, Wagemans EA, van Hilten BJ (1998) Ambulatory quantitative assessment of body position, bradykinesia, and hypokinesia in Parkinson’s disease. J Clin Neurophysiol 15(3):235–242CrossRefPubMed Dunnewold RJ, Hoff JI, van Pelt HC, Fredrikze PQ, Wagemans EA, van Hilten BJ (1998) Ambulatory quantitative assessment of body position, bradykinesia, and hypokinesia in Parkinson’s disease. J Clin Neurophysiol 15(3):235–242CrossRefPubMed
29.
go back to reference Rodriguez-Molinero A, Sama A, Perez-Martinez DA, Perez Lopez C, Romagosa J, Bayes A, Sanz P, Calopa M, Galvez-Barron C, de Mingo E, Rodriguez Martin D, Gonzalo N, Formiga F, Cabestany J, Catala A (2015) Validation of a portable device for mapping motor and gait disturbances in Parkinson’s disease. JMIR mHealth uHealth 3(1):e9. https://doi.org/10.2196/mhealth.3321 CrossRefPubMedPubMedCentral Rodriguez-Molinero A, Sama A, Perez-Martinez DA, Perez Lopez C, Romagosa J, Bayes A, Sanz P, Calopa M, Galvez-Barron C, de Mingo E, Rodriguez Martin D, Gonzalo N, Formiga F, Cabestany J, Catala A (2015) Validation of a portable device for mapping motor and gait disturbances in Parkinson’s disease. JMIR mHealth uHealth 3(1):e9. https://​doi.​org/​10.​2196/​mhealth.​3321 CrossRefPubMedPubMedCentral
38.
go back to reference Skidmore FM, Mackman CA, Pav B, Shulman LM, Garvan C, Macko RF, Heilman KM (2008) Daily ambulatory activity levels in idiopathic Parkinson disease. J Rehabil Res Dev 45(9):1343–1348CrossRefPubMed Skidmore FM, Mackman CA, Pav B, Shulman LM, Garvan C, Macko RF, Heilman KM (2008) Daily ambulatory activity levels in idiopathic Parkinson disease. J Rehabil Res Dev 45(9):1343–1348CrossRefPubMed
48.
go back to reference Uswatte G, Foo WL, Olmstead H, Lopez K, Holand A, Simms LB (2005) Ambulatory monitoring of arm movement using accelerometry: an objective measure of upper-extremity rehabilitation in persons with chronic stroke. Arch Phys Med Rehabil 86(7):1498–1501CrossRefPubMed Uswatte G, Foo WL, Olmstead H, Lopez K, Holand A, Simms LB (2005) Ambulatory monitoring of arm movement using accelerometry: an objective measure of upper-extremity rehabilitation in persons with chronic stroke. Arch Phys Med Rehabil 86(7):1498–1501CrossRefPubMed
58.
go back to reference Haeuber E, Shaughnessy M, Forrester LW, Coleman KL, Macko RF (2004) Accelerometer monitoring of home- and community-based ambulatory activity after stroke. Arch Phys Med Rehabil 85(12):1997–2001CrossRefPubMed Haeuber E, Shaughnessy M, Forrester LW, Coleman KL, Macko RF (2004) Accelerometer monitoring of home- and community-based ambulatory activity after stroke. Arch Phys Med Rehabil 85(12):1997–2001CrossRefPubMed
60.
69.
go back to reference Cancela J, Pastorino M, Tzallas AT, Tsipouras MG, Rigas G, Arredondo MT, Fotiadis DI (2014) Wearability assessment of a wearable system for Parkinson’s disease remote monitoring based on a body area network of sensors. Sensors (Basel) 14(9):17235–17255. https://doi.org/10.3390/s140917235 CrossRef Cancela J, Pastorino M, Tzallas AT, Tsipouras MG, Rigas G, Arredondo MT, Fotiadis DI (2014) Wearability assessment of a wearable system for Parkinson’s disease remote monitoring based on a body area network of sensors. Sensors (Basel) 14(9):17235–17255. https://​doi.​org/​10.​3390/​s140917235 CrossRef
73.
75.
go back to reference Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, Goncalves N, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Serrano A, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W, Ferreira JJ (2016) A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease. J Neuroeng Rehabil 13:24. https://doi.org/10.1186/s12984-016-0136-7 CrossRefPubMedPubMedCentral Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, Goncalves N, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Serrano A, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W, Ferreira JJ (2016) A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease. J Neuroeng Rehabil 13:24. https://​doi.​org/​10.​1186/​s12984-016-0136-7 CrossRefPubMedPubMedCentral
77.
go back to reference Espay AJ, Bonato P, Nahab FB, Maetzler W, Dean JM, Klucken J, Eskofier BM, Merola A, Horak F, Lang AE, Reilmann R, Giuffrida J, Nieuwboer A, Horne M, Little MA, Litvan I, Simuni T, Dorsey ER, Burack MA, Kubota K, Kamondi A, Godinho C, Daneault JF, Mitsi G, Krinke L, Hausdorff JM, Bloem BR, Papapetropoulos S, Movement Disorders Society Task Force on T (2016) Technology in Parkinson’s disease: Challenges and opportunities. Mov Disord 31(9):1272–1282. https://doi.org/10.1002/mds.26642 CrossRefPubMedPubMedCentral Espay AJ, Bonato P, Nahab FB, Maetzler W, Dean JM, Klucken J, Eskofier BM, Merola A, Horak F, Lang AE, Reilmann R, Giuffrida J, Nieuwboer A, Horne M, Little MA, Litvan I, Simuni T, Dorsey ER, Burack MA, Kubota K, Kamondi A, Godinho C, Daneault JF, Mitsi G, Krinke L, Hausdorff JM, Bloem BR, Papapetropoulos S, Movement Disorders Society Task Force on T (2016) Technology in Parkinson’s disease: Challenges and opportunities. Mov Disord 31(9):1272–1282. https://​doi.​org/​10.​1002/​mds.​26642 CrossRefPubMedPubMedCentral
Metadata
Title
Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: a mixed-methods systematic review
Authors
Dongni Johansson
Kristina Malmgren
Margit Alt Murphy
Publication date
01-08-2018
Publisher
Springer Berlin Heidelberg
Published in
Journal of Neurology / Issue 8/2018
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-018-8786-y

Other articles of this Issue 8/2018

Journal of Neurology 8/2018 Go to the issue