Dybus Aleksandra, Paul Lorna, Wyke Sally, Brewster Stephen, Gill Jason M R, Ramsay Andrew, Campbell Evan
School of Medicine, University of Glasgow, Glasgow, UK.
School of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.
Technol Health Care. 2017 Dec 4;25(6):1157-1162. doi: 10.3233/THC-170970.
Smartphone sensors are underutilised in rehabilitation.
To validate the step count algorithm used in the STARFISH smartphone application.
Twenty-two healthy adults (8 male, 14 female) walked on a treadmill for 5 minutes at 0.44, 0.67, 0.90 and 1.33 m⋅s-1. Each wore an activPALTM and four Samsung Galaxy S3TM smartphones, with the STARFISH application running, in: 1) a belt carrycase, 2) a trouser or skirt pocket), 3a) a handbag on shoulder for females or 3b) shirt pocket for males and 4) an upper arm strap. Step counts of the STARFISH application and the activPALTM were compared at corresponding speeds and Bland-Altman statistics used to assess level of agreement (LOA).
The LOA between the STARFISH application and activPALTM varied across the four speeds and positions, but improved as speed increased. The LOA ranged from 105-177% at 0.44 m⋅s-1; 50-98% at 0.67 m⋅s-1; 19-67% at 0.9 m⋅s-1 and 8-53% at 1.33 m⋅s-1. The best LOAs were at 1.33 m⋅s-1 in the shirt pocket (8%) and upper arm strap (12%) positions.
Step counts measured by the STARFISH smartphone application are valid in most body positions especially at walking speeds of 0.9 m⋅s-1 and above.
智能手机传感器在康复领域未得到充分利用。
验证STARFISH智能手机应用程序中使用的步数计算算法。
22名健康成年人（8名男性，14名女性）在跑步机上以0.44、0.67、0.90和1.33米·秒⁻¹的速度行走5分钟。每个人都佩戴一个activPALTM和四部三星Galaxy S3TM智能手机，并运行STARFISH应用程序，分别放置在：1）腰带携带盒中；2）裤子或裙子口袋里；3a）女性的肩背手提包中或3b）男性的衬衫口袋里；4）上臂绑带处。比较STARFISH应用程序和activPALTM在相应速度下的步数，并使用Bland-Altman统计量评估一致性水平（LOA）。
STARFISH应用程序和activPALTM之间的LOA在四种速度和位置上有所不同，但随着速度增加而改善。在0.44米·秒⁻¹时，LOA范围为105 - 177%；在0.67米·秒⁻¹时为50 - 98%；在0.9米·秒⁻¹时为19 - 67%；在1.33米·秒⁻¹时为8 - 53%。最佳的LOA出现在1.33米·秒⁻¹时，分别是衬衫口袋（8%）和上臂绑带（12%）的位置。
STARFISH智能手机应用程序测量的步数在大多数身体位置都是有效的，尤其是在0.9米·秒⁻¹及以上的步行速度下。
