3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement (University of Massachusetts, Amherst, USA, June 17-19, 2013).
3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement (University of Massachusetts, Amherst, USA, June 17-19, 2013).
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第三届身体活动和运动动态监测国际会议（美国阿默斯特马萨诸塞大学，2013 年 6 月 17-19 日）。
DOI：
10.1088/0967-3334/35/11/2179
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发表时间：
2014
影响因子：
3.2
通讯作者：
Staudenmayer,John
中科院分区：
文献类型：
--
作者：
Stansfield,Ben;Clemes,Stacy;John,Dinesh;Meijer,Kenneth;Melanson,Ed;Rowlands,Alex;Staudenmayer,John
本期《生理测量》焦点期刊是继美国阿默斯特马萨诸塞大学成功主办的“第三届身体活动和运动动态监测国际会议 (ICAMPAM2013)”之后发布的。会议由帕蒂·弗里德森（马萨诸塞大学阿默斯特分校）和大卫·巴塞特（田纳西大学诺克斯维尔分校）联合主持，会议重点是一个国际科学委员会，汇集了来自北美、欧洲、亚洲和澳大利亚的专业知识。近年来，随着设备的改进和数据解释方法的进步，身体活动和运动的动态监测取得了显着进展。 ICAMPAM 会议在将研究人员聚集在一起推进这些领域发挥了关键作用，为有关新发展的展示、讨论和辩论提供了论坛。 ICAMPAM2013 上提出了 200 多份摘要，探讨身体活动、久坐行为和睡眠测量的主题。该内容不仅强调了人们当前对维持和增强健康以及参与功能性日常活动的身体活动的兴趣，而且还强调了久坐行为和睡眠作为影响我们健康的生活方式组成部分的日益重要性。本焦点问题包含根据会议摘要编写的精选完整出版物，并提供了对会议期间涵盖的领域的深入了解。基于人群的研究创新凸显了腕式动态监测设备在提高依从性方面的潜力。然而，对从这些设备收集的大量数据进行分析还需要进一步发展，这一主题在会议期间受到了适当的关注（Ellis 等人，2014 年；Trost 等人，2014 年）。监测动态身体活动和运动的方法受到审查，提出了进展并评估了方法的变化。例子包括增强磨损时间表征（Berendsen 等人，2014 年）、确定最短磨损时间（Hislop 等人，2014 年）以及为最低数据收集要求提供指导（Kang 等人，2014 年）。提出了使用现有设备改进数据分析的建议（例如 Tulchin-Francis 等人，2014 年），以帮助优化数据利用。 Li 和Zhang 还展示了一种提高关节角度惯性测量性能的方法（Li 和Zhang 2014）。移动电话等无处不在的技术的使用提供了一个可用于定期收集身体活动和运动数据的平台。因此，会议演讲包括对处理现实世界数据质量的方法进行检查以开发有用的结果是适当的（Del Rosario 等人，2014 年）。虽然 ICAMPAM 有着促进方法开发的历史，但也非常注重应用定制方法来深入了解特定人群（例如帕金森病（Benka Wallén 等人，2014 年）、自行式轮椅使用者（Kooijmans 等人，2014 年）、
This focus issue of Physiological Measurement follows the successful ‘3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM2013)’, hosted by the University of Massachusetts, Amherst, USA. The conference was jointly Chaired by Patty Freedson (University of Massachusetts, Amherst) and David Bassett (University of Tennessee, Knoxville) with a focus shaped by an international scientific committee bringing together expertise from North America, Europe, Asia and Australasia. Ambulatory monitoring of physical activity and movement has progressed significantly in recent years with improvements in devices and concurrent advances in data interpretation methods. The ICAMPAM conferences have played a key role in bringing together researchers advancing these fields, providing a forum for presentation, discussion and debate on new developments.Over 200 abstracts were presented at ICAMPAM2013 exploring the themes of physical activity, sedentary behaviour and sleep measurement. This content highlights current interest in, not only the physical activity that people perform to maintain and enhance health and engage in functional everyday activity, but also the growing importance of sedentary behaviour and sleep as components of lifestyle that impact on our wellbeing. This focus issue contains selected full publications developed from conference abstracts and provides an insight into the areas covered during the conference. Innovations in population based studies have highlighted the potential of wrist mounted ambulatory monitoring devices to increase compliance. There is, however, a need for considerable further development in the analysis of the wealth of data collected from these devices, a subject that received appropriate attention during the conference (Ellis et al 2014, Trost et al 2014). Methods of monitoring ambulatory physical activity and movement were placed under scrutiny with advances proposed and changes in methods assessed. Examples include the enhancement of wear-time characterisation (Berendsen et al 2014), establishing minimum wear-time (Hislop et al 2014) and providing guidance for minimum data collection requirements (Kang et al 2014). Proposals for improvements in data analysis using existing devices were put forward (eg Tulchin-Francis et al 2014) to help optimise data exploitation. Also Li and Zhang demonstrated a method of improving the performance of inertial measurement of joint angles (Li and Zhang 2014). The use of ubiquitous technologies, eg mobile phones, provides a platform that might be used to routinely collect data on physical activity and movement. It was appropriate, therefore, that conference presentations included examination of methods to cope with real world data quality to develop useful outcomes (Del Rosario et al 2014). Whilst ICAMPAM has a history of promoting methods development there is also a strong focus on the application of methods tailored to gain insight into specific populations (eg Parkinson’s disease (Benka Wallén et al 2014), Self-propelled wheelchair users (Kooijmans et al 2014),