A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor

基于无线、多模式、人工神经网络的身体活动监测器

• 批准号: 8116994
• 负责人: GLENN A GAESSER
• 金额: $ 46.86万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-19 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8116994
• 关键词: Acceleration; Accounting; Adhesives; Adult; Ankle; Applications Grants; Area; Attention; Behavior; Behavioral; Biological Neural Networks; Body mass index; Calibration; Chest; Child; Computer software; Data; Data Collection; Data Set; Development; Devices; Diet; Docking; Doctor of Philosophy; Elderly; Electrodes; Energy Metabolism; Ensure; Epidemiologist; Epidemiology; Exercise; Exercise Physiology; Exploratory/Developmental Grant; Force of Gravity; Freedom; Frequencies; Funding; Gait; General Population; Grant; Health; Heart Rate; Hip region structure; Indirect Calorimetry; Individual; Iowa; Joints; Kinesiology; Laboratories; Lead; Left; Life; Light; Limb structure; Literature; Location; Marketing; Measurement; Measures; Methods; Modeling; Monitor; Motion; NIH Program Announcements; Network-based; Neural Network Simulation; Outcome; Pain management; Partner in relationship; Performance; Phase; Physical activity; Population; Population Heterogeneity; Prevalence; Price; Principal Investigator; Procedures; Production; Protocols documentation; Public Health; Reader; Reporting; Research; Research Personnel; Research Support; Risk; Scientist; Simulate; Solutions; Sternum; Structure; System; Techniques; Technology; Testing; Time; Training; Universities; Validation; Validity and Reliability; Variant; Virginia; Walking; Weight; Wireless Technology; Work; Wrist; base; data exchange; design; digital; ergonomics; falls; human subject; improved; instrument; mathematical model; next generation; novel; professor; programs; prospective; prototype; research study; sedentary; transmission process

DESCRIPTION (provided by applicant): Accurate measurement of physical activity in children and adults is a challenging problem that is important to epidemiologists, exercise scientists, clinicians, and behavioral researchers. Although there are a number of indirect and direct methods to assess physical activity and energy expenditure, all current methods have serious, well-documented shortcomings vis-`a-vis application to free-living individuals. Recent research has shown that the most practical, objective method for measuring physical activity in free-living individuals is the use of portable activity monitors that are based on the joint monitoring of heart rate and accelerometry. Under R21 grant funding, the proposing team developed and evaluated a novel Physical Activity Monitor (the PAM-R21) for use in estimating both energy expenditure and the time spent at different activity intensity levels (e.g., sedentary/light, moderate, vigorous). Using heart rate and triaxial accelerometry, the PAM-R21, which uses artificial neural networks to convert heart rate and triaxial accelerometer data into estimates of energy expenditure, outperformed the only commercially-available integrated heart rate/acceleration activity monitor (viz., Actiheart) in terms of estimated energy expenditure, activity intensity level, and heart rate. The research proposed herein will leverage the previously-developed PAM-R21 to create and validate a low-profile, next-generation PAM-R01 monitor; validity and reliability testing will be performed in diverse populations that will include children, adults, and seniors. The PAM-R01 will also be compared with existing activity monitors in both structured and simulated free-living activities across a broad range of physical activity intensities, including the transitional periods between activities. The PAM-R01 will be small, lightweight, and unobtrusive, and will have wireless transmission capabilities; it represents an important step in the advancement of effective, accurate measurement of physical activity. PUBLIC HEALTH RELEVANCE: Physical activity is an important behavior that is related to reduce risk of a large number of negative health outcomes. However, the prevalence of physical inactivity remains unacceptably high; reducing the prevalence of inactivity is, therefore, a major focus of public health initiatives. The proposed development of the PAM- R01 activity monitor has the potential to remove one significant barrier that restricts research on the health effects of activity: the lack of an accurate, unobtrusive, and inexpensive device for measuring physical activity in free-living individuals. It also has strong potential for application in other areas, such as gait studies, pain management, and geriatric stability assessment and fall monitoring.

描述（由申请人提供）：准确测量儿童和成人的体育活动是一个具有挑战性的问题，对流行病学家，运动科学家，临床医生和行为研究人员很重要。尽管有许多间接和直接的方法来评估体育锻炼和能量消耗，但所有当前方法都有严重，有据可查的缺点，相对于自由生活的个体应用。最近的研究表明，衡量自由生活个体体育活动的最实用的客观方法是使用基于心率和加速度计的关节监测的便携式活动监测器。在R21赠款资金下，提议团队开发并评估了一个新型的体育活动监测仪（PAM-R21），用于估算能量消耗和在不同活动强度水平上花费的时间（例如久坐/轻度，中度，有力）。 PAM-R21使用心率和三轴加速度测定法，它使用人工神经网络将心率和三轴加速度计转换为能量消耗的估计值，在估计的能量消耗级别的估计的能量消耗率和心脏级别上，超过了唯一的商业综合心率/加速度综合的心率/加速度综合性心率/加速度监测器（VIZ，ACTIH）。本文提出的研究将利用先前开发的PAM-R21来创建和验证低调的下一代PAM-R01监视器；有效性和可靠性测试将在包括儿童，成人和老年人在内的不同人群中进行。 PAM-R01还将与在各种体育活动强度（包括活动之间的过渡期）中的结构化和模拟自由生活活动中的现有活动监测器进行比较。 PAM-R01将很小，轻巧且不引人注目，并且具有无线传输功能。它代表了进步有效，准确测量体育活动的重要步骤。公共卫生相关性：体育活动是一种重要行为，与降低大量负面健康结果的风险有关。然而，身体不活动的流行率仍然很高。因此，降低不活动的患病率是公共卫生计划的主要重点。 PAM-R01活动监测仪的拟议开发有可能消除限制活动影响研究的重要障碍：缺乏准确，毫不显着且廉价的设备来衡量自由生活个体的体育活动。它在其他领域也具有强大的应用潜力，例如步态研究，疼痛管理和老年稳定性评估和跌倒监测。