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力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来说很重要。虽然有许多间接和直接的方法来评估体力活动和能量消耗，但所有现行方法在适用于自由生活的个人方面都有严重的、有据可查的缺点。最近的研究表明，测量自由生活个体体力活动的最实用、最客观的方法是使用便携式活动监测器，这种监测器基于心率和加速度计的联合监控。在R21赠款的资助下，提议团队开发和评估了一种新的体力活动监测器(PAM-R21)，用于估计在不同活动强度水平(例如，久坐/轻度、中度、剧烈)下的能量消耗和花费的时间。使用心率和三轴加速度计，PAM-R21使用人工神经网络将心率和三轴加速度计数据转换为能量消耗估计值，在估计能量消耗、活动强度水平和心率方面优于唯一商用的集成心率/加速活动监测器(即ActiHeart)。本文提出的研究将利用以前开发的PAM-R21来创建和验证低调的下一代PAM-R01监视器；将在包括儿童、成人和老年人在内的不同人群中进行有效性和可靠性测试。PAM-R01还将在各种体力活动强度，包括活动之间的过渡期，与现有的结构化和模拟自由生活活动的活动监测器进行比较。PAM-R01将体积小、重量轻、不引人注目，并将具有无线传输能力；它代表着在推进有效、准确的体力活动测量方面迈出的重要一步。公共卫生相关性：体力活动是一种重要的行为，与降低大量负面健康后果的风险有关。然而，缺乏运动的流行率仍然高得令人无法接受；因此，减少缺乏运动的流行率是公共卫生倡议的一个主要重点。PAM-R01活动监测器的拟议开发有可能消除限制活动对健康影响的研究的一个重要障碍：缺乏准确、不引人注目和廉价的设备来测量自由生活的个人的体力活动。它在其他领域也有很大的应用潜力，如步态研究、疼痛管理、老年稳定性评估和跌倒监测。