A WIRELESS, MULTIMODE, ARTIFICIAL NEURAL NETWORK-BASED PHYSICAL ACTIVITY MONITOR
Glenn A Gaesser, Professor
Arizona State University-tempe Campus, Orspa, Tempe, Az 85287-3503
Grant 5R01HL091006-03 from National Heart, Lung, And Blood Institute
Abstract: 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-
Relevance: 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. 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
Project start date: 2008-09-19
Project end date: 2013-06-30
Budget start date: 1-JUL-2010
Budget end date: 30-JUN-2011
PFA/PA: http://Excellgen.com
A WIRELESS, MULTIMODE, ARTIFICIAL NEURAL NETWORK-BASED PHYSICAL ACTIVITY MONITOR
Glenn A Gaesser, Professor
Arizona State University-polytechnic Cmp, Orspa, Tempe, Az 85287-3503
Grant 5R01HL091006-02 from National Heart, Lung, And Blood Institute
Abstract: 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-
Relevance: 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. 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
Project start date: 2008-09-19
Project end date: 2013-06-30
Budget start date: 1-JUL-2009
Budget end date: 30-JUN-2010
PFA/PA: IMPACT OF RESISTANCE TRAINING ON INSULIN SENSITIVITY
Glenn A Gaesser, Professor And Director
University Of Virginia Charlottesville Box 400195 Charlottesville, Va 229044195
Grant 5M01RR000847-270979 from National Center For Research Resources IRG: CLR
Abstract: This pilot study will examine the acute and chronic effects of resistance exercise on insulin sensitivity in sedentary, middle-aged men and women. Insulin sensitivity will be assessed before training, 22-24 hours after a single exercise session, and again 22-24 hours after the last training session. The primary purpose of the protocol is to determine whether performing multiple (3) sets per training session is superior to performing just one (1) set with respect to improving insulin sensivity."
Keywords: exercise, human middle age (35-64), insulin sensitivity /resistance, muscle function, body physical activity, clinical research, human subject
Project start date: 1985-12-01
Project end date: 2001-02-28
A Wireless, Multimode, Artificial Neural Network-Based Physical Activity Monitor
Glenn A Gaesser, Professor And Director
Exercise And Wellnessarizona State University-polytechnic Cmp
orspa
tempe, Az 852873503
Grant 1R01HL091006-01A1 from National Heart, Lung, And Blood Institute IRG: ZRG1
Abstract: 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-
Keywords: 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. 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
Project start date: 2008-09-19
Project end date: 2013-06-30
1R01HL091006-01A1 (2008): $452531
Validation Of An Integrated Heart Rate/Activity Monitor
Glenn A Gaesser, Professor And Director
University Of Virginia Charlottesville Box 400195 Charlottesville, Va 229044195
Grant 5R21CA112323-02 from National Cancer Institute IRG: ZRG1
Abstract: A principle objective of the Program Announcement to which this grant proposal is responsive is to "support research to improve physical activity measurement through improved instruments, technologies, or statistical/analytic techniques" for use in "general and diverse populations." The work proposed under this exploratory/developmental R21 grant application will involve the validation of a new Physical Activity Monitor (PAM) that was recently developed as a collaborative effort by the University of Virginia and Barron Associates, Inc. Novel features of the PAM device include (1) the ability to collect inertial sensor and heart rate measurement data simultaneously in a single, discreet, low-profile device; and (2) measurement of the six degree-of-freedom (6-DOF) body-axes accelerations of the wearer s center of mass (CM), which allows complete discrimination of the translational and rotational motions of their CM in three-dimensional space. This capability translates into more accurate activity energy expenditure estimates than is possible with other commercial actigraphs. The PAM system also enables accurate tracking of the timing, frequency, and intensity of physical activity. Both raw and processed data can be stored in PAM system memory for subsequent off-line uploading to a PC or personal digital assistant (PDA), or alternatively uploaded on-line in real time, via Bluetooth wireless communications. Focus of the proposed Year 1 effort will be to validate the accuracy of the PAM energy expenditure estimates and time spent at different activity intensity levels against a metabolic measurement system in a retrospective study of 90 healthy adults. Precision of the PAM system (i.e., inter- and intra-instrument reliability) will also be assessed in the Year 1 effort. The proposed Year 2 effort will involve the prospective validation of the PAM system against the metabolic measurement system in a similar subject population, and comparison of PAM estimates with that of other "professional-grade" activity monitors that are suitable for field use. Physical activities on which subjects will be tested range from simulated activities of daily living, to "naximal aerobic effort. The PAM system has strong potential to impact adverse health effects of physical inactivity, such as cardiovascular disease, obesity and type 2 diabetes. The PAM system will also be of benefit in sleep studies gait studies, pain management, geriatric stability assessment and fall monitoring, and diagnosis of ADHD, to name lust a few applications.
Keywords: actigraphy, biomedical equipment development, body physical activity, monitoring device, heart rate, portable biomedical equipment, clinical research, human subject
Project start date: 2004-08-20
Project end date: 2007-07-31
5R21CA112323-02 (2005): $113625
Validation Of An Integrated Heart Rated/Activity Monitor
Glenn A Gaesser, Professor And Director
University Of Virginia Charlottesville Box 400195 Charlottesville, Va 229044195
Grant 1R21CA112323-01A1 from National Cancer Institute IRG: ZRG1
Abstract: A principle objective of the Program Announcement to which this grant proposal is responsive is to "support research to improve physical activity measurement through improved instruments, technologies, or statistical/analytic techniques" for use in "general and diverse populations." The work proposed under this exploratory/developmental R21 grant application will involve the validation of a new Physical Activity Monitor (PAM) that was recently developed as a collaborative effort by the University of Virginia and Barron Associates, Inc. Novel features of the PAM device include (1) the ability to collect inertial sensor and heart rate measurement data simultaneously in a single, discreet, low-profile device; and (2) measurement of the six degree-of-freedom (6-DOF) body-axes accelerations of the wearer s center of mass (CM), which allows complete discrimination of the translational and rotational motions of their CM in three-dimensional space. This capability translates into more accurate activity energy expenditure estimates than is possible with other commercial actigraphs. The PAM system also enables accurate tracking of the timing, frequency, and intensity of physical activity. Both raw and processed data can be stored in PAM system memory for subsequent off-line uploading to a PC or personal digital assistant (PDA), or alternatively uploaded on-line in real time, via Bluetooth wireless communications. Focus of the proposed Year 1 effort will be to validate the accuracy of the PAM energy expenditure estimates and time spent at different activity intensity levels against a metabolic measurement system in a retrospective study of 90 healthy adults. Precision of the PAM system (i.e., inter- and intra-instrument reliability) will also be assessed in the Year 1 effort. The proposed Year 2 effort will involve the prospective validation of the PAM system against the metabolic measurement system in a similar subject population, and comparison of PAM estimates with that of other "professional-grade" activity monitors that are suitable for field use. Physical activities on which subjects will be tested range from simulated activities of daily living, to "naximal aerobic effort. The PAM system has strong potential to impact adverse health effects of physical inactivity, such as cardiovascular disease, obesity and type 2 diabetes. The PAM system will also be of benefit in sleep studies gait studies, pain management, geriatric stability assessment and fall monitoring, and diagnosis of ADHD, to name lust a few applications.
Keywords: actigraphy, biomedical equipment development, body physical activity, monitoring device, heart rate, portable biomedical equipment, clinical research, human subject
Project start date: 2004-08-20
Project end date: 2006-07-31
1R21CA112323-01A1 (2004): $126429
IMPACT OF RESISTANCE TRAINING ON INSULIN SENSITIVITY
Glenn A Gaesser, Professor And Director
University Of Virginia Charlottesville Box 400195 Charlottesville, Va 229044195
Grant 5M01RR000847-310979 from National Center For Research Resources IRG: CLR
Keywords: exercise, human middle age (35-64), insulin sensitivity /resistance, muscle function, body physical activity, clinical research, human subject