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; 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."

2015Journal article

Open access

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; 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

2015-03-13Lecture

Open access

A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease

Publication . 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’."

2016Journal article

Open access