Browsing by Author "Maetzler, Walter"
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- New methods for the assessment of Parkinson’s Disease (2005 to 2015): a systematic reviewPublication . Sánchez-Ferro, Alvaro; Elshehabi, Morad; Godinho, Catarina; Salkovic, Dina; Hobert, Markus A.; Domingos, Josefa; van Uem, Janet MT.; Ferreira, Joaquim J.; Maetzler, Walter"BACKGROUND: The past decade has witnessed a highly dynamic and growing expansion of novel methods aimed at improving the assessment of Parkinson's disease with technology (NAM-PD) in laboratory, clinical, and home environments. However, the current state of NAM-PD regarding their maturity, feasibility, and usefulness in assessing the main PD features has not been systematically evaluated. METHODS: A systematic review of articles published in the field from 2005 to 2015 was performed. Of 9,503 publications identified in PubMed and the Web of Science, 848 full papers were evaluated, and 588 original articles were assessed to evaluate the technological, demographic, clinimetric, and technology transfer readiness parameters of NAM-PD. RESULTS: Of the studies, 65% included fewer than 30 patients, < 50% employed a standard methodology to validate diagnostic tests, 8% confirmed their results in a different dataset, and 87% occurred in a clinic or lab. The axial features domain was the most frequently studied, followed by bradykinesia. Rigidity and nonmotor domains were rarely investigated. Only 6% of the systems reached a technology level that justified the hope of being included in clinical assessments in a useful time period. CONCLUSIONS: This systematic evaluation provides an overview of the current options for quantitative assessment of PD and what can be expected in the near future. There is a particular need for standardized and collaborative studies to confirm the results of preliminary initiatives, assess domains that are currently underinvestigated, and better validate the existing and upcoming NAM-PD. © 2016 International Parkinson and Movement Disorder Society."
- Quantitative home-based assessment of Parkinson´s symptoms: The SENSE-PARK feasibility and usability studyPublication . Ferreira, Joaquim J.; Godinho, Catarina; Santos, Ana T.; Domingos, Josefa; Abreu, Daisy; Gonçalves, Nilza; Barra, Marcio; Larsen, Frank; Fagerbakke, Oyvind; Akeren, Ingvild; Wangen, Hilde; Serrano, Artur; Weber, Peter; Thoms, Andrea; Meckler, Stefan; Sollinger, Stefan; Van Uem, Janet; Hobert, A.; Maier, Katrin S.; Matthew, Helen; Isaacs, Tom; Duffen, Joy; Graessner, Holm; Maetzler, Walter"Background: Currently, assessment of symptoms associated with Parkinson’s disease is mainly performed in the clinic. However, these assessments have limitations because they provide only a snapshot of the condition. Methods: The feasibility and usability of an objective, continuous and relatively unobtrusive system (SENSE-PARK System), which consists of wearable sensors (three worn during the day and one worn at night), a smartphone-based App, a balance board and computer software, was tested 24/7 over 12 weeks in a study including 22 PD patients. During the first four weeks of the study, patients did not get feedback about their performance, during the last eight weeks they did. The study included seven clinical visits with standardized interviews, and regular phone contact. The primary outcome was the number of drop-outs during the study. As secondary outcomes, the Post-Study System Usability Questionnaire (PSSUQ), score and information obtained from the standardized interviews were used to evaluate the usability of the system. Results: All patients completed the study. The participants rated the usability of the SENSE-PARK System with a mean score of 2.67 (±0.49) on the PSSUQ. The interviews revealed that most participants liked using the system and appreciated that it signaled changes in their health condition. Conclusions: This 12 week controlled study demonstrates that the acceptance level of PD patients using the SENSE-PARK System as a home-based 24/7 assessment is very good. Particular emphasis should be given to a user-friendly design. Motivation to wear such a system can be increased by providing direct feedback about the individual health condition."
- Quantitative home-based assessment of Parkinson`s symptoms: The SENSE-PARK feasibility and usability studyPublication . Ferreira, Joaquim J.; Godinho, Catarina; Santos, Ana T.; Domingos, Josefa; Abreu, Daisy; Gonçalves, Nilza; Barra, Marcio; Larsen, Frank; Fagerbakke, Oyvind; Akeren, Ingvild; Wangen, Hilde; Serrano, Artur; Weber, Peter; Thoms, Andrea; Meckler, Stefan; Sollinger, Stefan; Van Uem, Janet; Hobert, Markus A.; Maier, Katrin S.; Matthew, Helen; Isaacs, Tom; Duffen, Joy; Graessner, Holm; Maetzler, Walter
- A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s diseasePublication . Godinho, Catarina; Domingos, Josefa; Cunha, Guilherme; Santos, Ana T.; Fernandes, Ricardo; Abreu, Daisy; Gonçalves, Nilza; Matthews, Helen; Isaacs, Tom; Duffen, Joy; Al-Jawad, Ahmed; Larsen, Frank; Serrano, Artur; Weber, Peter; Thoms, Andrea; Sollinger, Stefan; Graessner, Holm; Maetzler, Walter; Ferreira, Joaquim J."Background: There is growing interest in having objective assessment of health-related outcomes using technology-based devices that provide unbiased measurements which can be used in clinical practice and scientific research. Many studies have investigated the clinical manifestations of Parkinson’s disease using such devices. However, clinimetric properties and clinical validation vary among the different devices. Methods: Given such heterogeneity, we sought to perform a systematic review in order to (i) list, (ii) compare and (iii) classify technological-based devices used to measure motor function in individuals with Parkinson's disease into three groups, namely wearable, non-wearable and hybrid devices. A systematic literature search of the PubMed database resulted in the inclusion of 168 studies. These studies were grouped based on the type of device used. For each device we reviewed availability, use, reliability, validity, and sensitivity to change. The devices were then classified as (i) ‘recommended’, (ii) ‘suggested’ or (iii) ‘listed’ based on the following criteria: (1) used in the assessment of Parkinson’s disease (yes/no), (2) used in published studies by people other than the developers (yes/no), and (3) successful clinimetric testing (yes/no). Results: Seventy-three devices were identified, 22 were wearable, 38 were non-wearable, and 13 were hybrid devices. In accordance with our classification method, 9 devices were ‘recommended’, 34 devices were ‘suggested’, and 30 devices were classified as ‘listed’. Within the wearable devices group, the Mobility Lab sensors from Ambulatory Parkinson’s Disease Monitoring (APDM), Physilog®, StepWatch 3, TriTrac RT3 Triaxial accelerometer, McRoberts DynaPort, and Axivity (AX3) were classified as ‘recommended’. Within the non-wearable devices group, the Nintendo Wii Balance Board and GAITRite® gait analysis system were classified as ‘recommended’. Within the hybrid devices group only the Kinesia® system was classified as ‘recommended’."