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Ancona S, Faraci FD, Khatab E, Fiorillo L, Gnarra O, Nef T, Bassetti CLA, Bargiotas P. Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature. J Neurol 2022; 269:100-110. [PMID: 33409603 DOI: 10.1007/s00415-020-10350-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/19/2020] [Accepted: 12/04/2020] [Indexed: 12/01/2022]
Abstract
At present, the standard practices for home-based assessments of abnormal movements in Parkinson's disease (PD) are based either on subjective tools or on objective measures that often fail to capture day-to-day fluctuations and long-term information in real-life conditions in a way that patient's compliance and privacy are secured. The employment of wearable technologies in PD represents a great paradigm shift in healthcare remote diagnostics and therapeutics monitoring. However, their applicability in everyday clinical practice seems to be still limited. We carried out a systematic search across the Medline Database. In total, 246 publications, published until 1 June 2020, were identified. Among them, 26 reports met the inclusion criteria and were included in the present review. We focused more on clinically relevant aspects of wearables' application including feasibility and efficacy of the assessment, the number, type and body position of the wearable devices, type of PD motor symptom, environment and duration of assessments and validation methodology. The aim of this review is to provide a systematic overview of the current knowledge and state-of-the-art of the home-based assessment of motor symptoms and fluctuations in PD patients using wearable technology, highlighting current problems and laying foundations for future works.
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Affiliation(s)
- Stefania Ancona
- Department of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland
| | - Francesca D Faraci
- Institute for Information Systems and Networking, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland
| | - Elina Khatab
- Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Luigi Fiorillo
- Institute for Information Systems and Networking, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.,Institute of Informatics, University of Bern, Bern, Switzerland
| | - Oriella Gnarra
- Department of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.,Sensory-Motor System Lab, IRIS, ETH Zurich, Zurich, Switzerland.,Neurotec, Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.,ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation, University of Bern, Bern, Switzerland
| | - Tobias Nef
- Department of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.,Neurotec, Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.,ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation, University of Bern, Bern, Switzerland
| | - Claudio L A Bassetti
- Department of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.,Neurotec, Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Panagiotis Bargiotas
- Department of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland. .,Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus.
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Czech M, Demanuele C, Erb MK, Ramos V, Zhang H, Ho B, Patel S. The Impact of Reducing the Number of Wearable Devices on Measuring Gait in Parkinson Disease: Noninterventional Exploratory Study. JMIR Rehabil Assist Technol 2020; 7:e17986. [PMID: 33084585 PMCID: PMC7641789 DOI: 10.2196/17986] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 08/07/2020] [Accepted: 08/16/2020] [Indexed: 12/18/2022] Open
Abstract
Background Measuring free-living gait using wearable devices may offer higher granularity and temporal resolution than the current clinical assessments for patients with Parkinson disease (PD). However, increasing the number of devices worn on the body adds to the patient burden and impacts the compliance. Objective This study aimed to investigate the impact of reducing the number of wearable devices on the ability to assess gait impairments in patients with PD. Methods A total of 35 volunteers with PD and 60 healthy volunteers performed a gait task during 2 clinic visits. Participants with PD were assessed in the On and Off medication state using the Movement Disorder Society version of the Unified Parkinson Disease Rating Scale (MDS-UPDRS). Gait features derived from a single lumbar-mounted accelerometer were compared with those derived using 3 and 6 wearable devices for both participants with PD and healthy participants. Results A comparable performance was observed for predicting the MDS-UPDRS gait score using longitudinal mixed-effects model fit with gait features derived from a single (root mean square error [RMSE]=0.64; R2=0.53), 3 (RMSE=0.64; R2=0.54), and 6 devices (RMSE=0.54; R2=0.65). In addition, MDS-UPDRS gait scores predicted using all 3 models differed significantly between On and Off motor states (single device, P=.004; 3 devices, P=.004; 6 devices, P=.045). Conclusions We observed a marginal benefit in using multiple devices for assessing gait impairments in patients with PD when compared with gait features derived using a single lumbar-mounted accelerometer. The wearability burden associated with the use of multiple devices may offset gains in accuracy for monitoring gait under free-living conditions.
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Affiliation(s)
- Matthew Czech
- Digital Medicine & Translational Imaging, Early Clinical Development, Pfizer Inc, Cambridge, MA, United States
| | - Charmaine Demanuele
- Digital Medicine & Translational Imaging, Early Clinical Development, Pfizer Inc, Cambridge, MA, United States
| | - Michael Kelley Erb
- Digital Medicine & Translational Imaging, Early Clinical Development, Pfizer Inc, Cambridge, MA, United States
| | - Vesper Ramos
- Digital Medicine & Translational Imaging, Early Clinical Development, Pfizer Inc, Cambridge, MA, United States
| | - Hao Zhang
- Digital Medicine & Translational Imaging, Early Clinical Development, Pfizer Inc, Cambridge, MA, United States
| | - Bryan Ho
- Tufts Medical Center, Boston, MA, United States
| | - Shyamal Patel
- Digital Medicine & Translational Imaging, Early Clinical Development, Pfizer Inc, Cambridge, MA, United States
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Serrao M, Chini G, Caramanico G, Bartolo M, Castiglia SF, Ranavolo A, Conte C, Venditto T, Coppola G, di Lorenzo C, Cardinali P, Pierelli F. Prediction of Responsiveness of Gait Variables to Rehabilitation Training in Parkinson's Disease. Front Neurol 2019; 10:826. [PMID: 31428039 PMCID: PMC6688512 DOI: 10.3389/fneur.2019.00826] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 07/17/2019] [Indexed: 01/14/2023] Open
Abstract
Background: Gait disorders represent one of the most disabling features of Parkinson's disease, which may benefit from rehabilitation. No consistent evidence exists about which gait biomechanical factors can be modified by rehabilitation and which clinical characteristic can predict rehabilitation-induced improvements. Objectives: The aims of the study were as follows: (i) to recognize the gait parameters modifiable by a short-term rehabilitation program; (ii) to evaluate the gait parameters that can normalize after rehabilitation; and (iii) to identify clinical variables predicting improvements in gait function after rehabilitation. Methods: Thirty-six patients affected by idiopathic Parkinson's disease in Hoehn-Yahr stage 1–3 and 22 healthy controls were included in the study. Both clinical and instrumental (gait analysis) evaluations were performed before and after a 10-weeks rehabilitation treatment. Time-distance parameters, lower limb joint, and trunk kinematics were measured. Results: At baseline evaluation with matched speed, almost all gait parameters were significantly different between patients and healthy controls. After the 10-weeks rehabilitation, most gait parameters improved, and spatial asymmetry and trunk rotation normalized. Multiple linear regression of gender combined with Unified Parkinson's Disease Rating Scale-III predicted both ΔSpeed and ΔStep length of both sides; gender combined with Unified Parkinson's Disease Rating Scale-II predicted ΔCadence; age combined with Hoehn-Yahr score and disease duration predicted Δtrunk rotation range of motion. Conclusions: Impaired gait parameters are susceptible to improvement by rehabilitation, and younger men with Parkinson's disease who are less severely affected and at early disease stage are more susceptible to improvements in gait function after a 10-weeks rehabilitation program.
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Affiliation(s)
- Mariano Serrao
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy.,Movement Analysis LAB, Policlinico Italia, Rome, Italy
| | - Giorgia Chini
- Movement Analysis LAB, Policlinico Italia, Rome, Italy
| | - Guido Caramanico
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy.,Movement Analysis LAB, Policlinico Italia, Rome, Italy
| | | | - Stefano Filippo Castiglia
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Alberto Ranavolo
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy
| | | | | | | | | | | | - Francesco Pierelli
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy.,IRCCS - Neuromed, Pozzilli, Italy
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A novel device for continuous monitoring of tremor and other motor symptoms. Neurol Sci 2018; 39:1333-1343. [PMID: 29736737 DOI: 10.1007/s10072-018-3414-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 04/20/2018] [Indexed: 10/16/2022]
Abstract
The clinical assessment of Parkinson's disease (PD) symptoms is typically performed with neurological examinations and simple motor tests. However, this only takes into account the severity of motor symptoms during the length of the recording and fails to capture variations in a patient's motor state, which change continuously during the day. Most of the current methods for long-term monitoring of extrapyramidal symptoms are based on the use of a wearable magneto-inertial device that evaluates the frequential content of signals in the range of movement disorders. However, the typical daily motor activities performed by patients may have a power spectrum into the same range of motor symptoms, and habitual activity may be indistinguishable from that due to movement disorders. In this work, we report a new device and method for the continuous and long-term monitoring of tremor due to PD and other movement disorders to reduce the probability of mistaking the discrimination between extrapyramidal symptoms and normal daily activity. The method is based on the evaluation of frequential data content from multi-axial sensors and on the identification of specific movement patterns that Parkinsonian and extrapyramidal symptoms are typically associated with. In this study, 16 patients with movement disorders were recruited. While results need to be extended with further studies and clinical trials, the proposed device appears promising and suitable for the use as part of clinical trials and routine clinical practice for supporting the evaluation of motor symptoms, disease progression, and the quantification of therapeutic effects.
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Martínez-Lemos RI, Ayán-Pérez C, Bouzas-Rico S. Test-retest reliability of the Wii Balance Board for assessing standing balance in young people with intellectual disability. INTERNATIONAL JOURNAL OF DEVELOPMENTAL DISABILITIES 2017; 65:231-238. [PMID: 34141343 PMCID: PMC8115488 DOI: 10.1080/20473869.2017.1403065] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Objectives: The main objective was to identify the test-retest reliability of the Wii Balance Board (WBB) for assessing standing balance when administered to a population of people with intellectual disability (ID). A secondary objective was to provide information regarding the reliability of the WBB, taking into account the severity of cognitive impairment. Methods: The WBB was administered two times to a group of 50 people (mean age: 20.44 ± 5.73 years) with mild (n=32), moderate (n=6), or severe ID (n=12) within a 15-day period. The relative reliability of the WBB for the 'standing balance with open eyes' test was analyzed by means of intraclass correlation coefficients (ICCs). The standard error measurement and the minimum detectable change were used to identify absolute reliability. Results: For the whole sample, the WBB showed a fair (ICC=0.71), poor (ICC=0.66), and excellent (ICC=0.99) relative reliability for assessing weight-bearing asymmetry, center of pressure, path length, and sway area, respectively. In people with moderate/severe ID, statistically significant differences between the WBB test and retest scores were found. The absolute reliability of the WBB was considered poor. Conclusion: The WBB showed accurate adequate test-retest reliability for assessing standing balance in young people with ID. When using this device with people with moderate/severe ID, it is advisable to perform several testing trials, in order to avoid a possible learning effect. Standard error of measurement and minimal detectable change were high, indicating that this device might not be sensitive enough to properly identify static balance changes in this population.
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Affiliation(s)
| | - Cárlos Ayán-Pérez
- Faculty of Education and Sport Sciences, Campus A Xunqueira, Pontevedra, Spain
| | - Sara Bouzas-Rico
- Faculty of Education and Sport Sciences, Campus A Xunqueira, Pontevedra, Spain
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