期刊论文详细信息
Journal of Personalized Medicine
Smartphone-Based Body Location-Independent Functional Mobility Analysis in Patients with Parkinson’s Disease: A Step towards Precise Medicine
Joaquim J. Ferreira1  Raquel Bouça-Machado1  Filipa Pona-Ferreira1  Mariana Leitão1  Sara Alberto2  Diogo Vila-Viçosa2  Ricardo Matias2 
[1] CNS—Campus Neurológico Sénior, 2560-280 Torres Vedras, Portugal;Kinetikos, 3030-199 Coimbra, Portugal;
关键词: Parkinson’s disease;    digital health;    inertial sensors;    wearable technology;    gait evaluation;    spatiotemporal gait metrics;   
DOI  :  10.3390/jpm12050826
来源: DOAJ
【 摘 要 】

Ecological evaluation of gait using mobile technologies provides crucial information regarding the evolution of symptoms in Parkinson’s disease (PD). However, the reliability and validity of such information may be influenced by the smartphone’s location on the body. This study analyzed how the smartphone location affects the assessment of PD patients’ gait in a free-living environment. Twenty PD patients (mean ± SD age, 64.3 ± 10.6 years; 9 women (45%) performed 3 trials of a 250 m outdoor walk using smartphones in 5 different body locations (pants pocket, belt, hand, shirt pocket, and a shoulder bag). A method to derive gait-related metrics from smartphone sensors is presented, and its reliability is evaluated between different trials as well as its concurrent validity against optoelectronic and smartphone criteria. Excellent relative reliability was found with all intraclass correlation coefficient values above or equal to 0.85. High absolute reliability was observed in 21 out of 30 comparisons. Bland-Altman analysis revealed a high level of agreement (LoA between 4.4 and 17.5%), supporting the use of the presented method. This study advances the use of mobile technology to accurately and reliably quantify gait-related metrics from PD patients in free-living walking regardless of the smartphone’s location on the body.

【 授权许可】

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