SENSE-PARK: Supporting and Empowering Parkinson patients in their home environment using a Novel SEnsory information system that monitors daily-life-relevant parameters of PARKinson disease and their

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Quantitative home-based assessment of Parkinson’s symptoms: The SENSE-PARK feasibility and usability study

Publication . Ferreira, Joaquim J; Godinho, Catarina; Santos, Ana T.; Domingos, Josefa M. M.; Abreu, Daisy; Lobo, Raquel; Gonçalves, Nilza; Barra, Marcio; Larsen, Frank; Fagerbakke, Øyvind; Akeren, Ingvild; Wangen, Hilde; Serrano, J. 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

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.

2015Artigo científico

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Algorithm for turning detection and analysis validated under home-like conditions in patients with Parkinson’s disease and older adults using a 6 degree-of-freedom inertial measurement unit at the lower back

Publication . Pham, Minh H.; Elshehabi, Morad; Haertner, Linda; Heger, Tanja; Hobert, Markus A.; Faber, Gert S.; Salkovic, Dina; Ferreira, Joaquim J; Berg, Daniela; Sanchez-Ferro, Álvaro; van Dieën, Jaap H.; Maetzler, Walter

Introduction: Aging and age-associated disorders such as Parkinson's disease (PD) are often associated with turning difficulties, which can lead to falls and fractures. Valid assessment of turning and turning deficits specifically in non-standardized environments may foster specific treatment and prevention of consequences. Methods: Relative orientation, obtained from 3D-accelerometer and 3D-gyroscope data of a sensor worn at the lower back, was used to develop an algorithm for turning detection and qualitative analysis in PD patients and controls in non-standardized environments. The algorithm was validated with a total of 2,304 turns ≥90° extracted from an independent dataset of 20 PD patients during medication ON- and OFF-conditions and 13 older adults. Video observation by two independent clinical observers served as gold standard. Results: In PD patients under medication OFF, the algorithm detected turns with a sensitivity of 0.92, a specificity of 0.89, and an accuracy of 0.92. During medication ON, values were 0.92, 0.78, and 0.83. In older adults, the algorithm reached validation values of 0.94, 0.89, and 0.92. Turning magnitude (difference, 0.06°; SEM, 0.14°) and duration (difference, 0.004 s; SEM, 0.005 s) yielded high correlation values with gold standard. Overall accuracy for direction of turning was 0.995. Intra class correlation of the clinical observers was 0.92. Conclusion: This wearable sensor- and relative orientation-based algorithm yields very high agreement with clinical observation for the detection and evaluation of ≥90° turns under non-standardized conditions in PD patients and older adults. It can be suggested for the assessment of turning in daily life.

2017Artigo científico

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Entidade financiadora

European Commission

Programa de financiamento

FP7

Número da atribuição

288557