Observational Study of a Wearable Sensor and Smartphone Application Supporting Unsupervised Exercises to Assess Pain and Stiffness | Zendy

Caroline G. M. Perraudin | Zendy; Vittorio Illiano | Zendy; Francesc Calvo | Zendy; Emer O’Hare | Zendy; Seamas C. Donnelly | Zendy; Ronan Mullan | Zendy; Oliver Sander | Zendy; Brian Caulfield | Zendy; Jonas F. Dorn | Zendy

Open Access

Observational Study of a Wearable Sensor and Smartphone Application Supporting Unsupervised Exercises to Assess Pain and Stiffness

Author(s) -

Caroline G. M. Perraudin,

Vittorio Illiano,

Francesc Calvo,

Emer O’Hare,

Seamas C. Donnelly,

Ronan Mullan,

Oliver Sander,

Brian Caulfield,

Jonas F. Dorn

Publication year - 2018

Publication title -

digital biomarkers

Language(s) - English

Resource type - Journals

ISSN - 2504-110X

DOI - 10.1159/000493277

Subject(s) - morning stiffness , medicine , observational study , physical therapy , test (biology) , accelerometer , psychological intervention , physical medicine and rehabilitation , osteoarthritis , morning , rheumatoid arthritis , wearable computer , psoriatic arthritis , computer science , alternative medicine , paleontology , pathology , biology , embedded system , operating system , psychiatry

Evaluation of pain and stiffness in patients with arthritis is largely based on participants retrospectively reporting their self-perceived pain/stiffness. This is subjective and may not accurately reflect the true impact of therapeutic interventions. We now have access to sensor-based systems to continuously capture objective information regarding movement and activity.

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