Antioquia es un departamento en el noroeste de Colombia. Es el sexto departamento más extenso y el segundo más poblado después de Bogotá. Limita con otros departamentos colombianos y el mar Caribe. Su capital y ciudad más grande es Medellín.
Working at the Royal BC Museum in Victoria, BC as well as being a fan of visiting museums wherever I go, I have put together a few simple tips for visiting a museum. Share your tips with me @GoughKim
Body Weight-Normalized Energy Expenditure Estimation Using Combined Activity ...Marco Altini
Presentation for EMBC 2013 — Wearable sensors have great potential for accurate estimation of Energy Expenditure (EE) in daily life. Advances in wearable technology (miniaturization, lower costs), and machine learning techniques as well as recently developed self-monitoring movements, such as the Quantified Self, are facilitating mass adoption. However, EE estimations are affected by a person’s body weight (BW). BW is a confounding variable preventing meaningful individual and group comparisons. In this paper we present a machine learning approach for BW normalization and activities clustering. In our approach to activity-specific EE modeling, we adopt a genetic algorithm- based clustering scheme, not only based on accelerometer (ACC) features, but also on allometric coefficients derived from 19 subjects performing a wide set of lifestyle and gym activities. We show that our approach supports making comparisons be- tween individuals performing the same activities independently of BW, while maintaining accuracy in the EE estimate.
Demonstration paper - Personalized Physical Activity Monitoring on the MoveMarco Altini
This document discusses personalizing physical activity monitoring to account for between-person variability. It shows that two people of the same size can burn the same amount of calories from daily activities but have different heart rates due to differences in fitness level. To personalize monitoring, it normalizes heart rate data using a heart rate normalization factor for low-intensity activities. Normalizing heart rate data leads to better estimates of energy expenditure compared to not normalizing during activities like running, biking and walking.
Este documento describe una agencia de promociones BTL (abajo de la línea) que crea e implementa estrategias promocionales creativas y efectivas dirigidas a públicos segmentados. Su objetivo es crear experiencias interactivas que incrementen el valor de la marca, generen sentido de pertenencia y lealtad hacia la marca, y lleguen al público meta de sus clientes. La agencia ofrece una variedad de servicios BTL como activaciones, lanzamientos, degustaciones, muestreos, ferias comerciales, volanteo, shows, publicidad
Quick start guide of the Heart Rate Variability Logger app, an app that lets you record, plot and export time and frequency domain Heart Rate Variability Features (includes experience sampling, rr-interval correction, comparison between recordings, activity monitoring & step counting, location tracking).
iPhone app: https://itunes.apple.com/us/app/heart-rate-variability-logger/id683984776?ls=1&mt=8
android app: https://play.google.com/store/apps/details?id=ma.hrvlogger&hl=en
More information and implementation details can be found here: http://www.marcoaltini.com/2/post/2013/12/heart-rate-variability-logger-app-details.html
Antioquia es un departamento en el noroeste de Colombia. Es el sexto departamento más extenso y el segundo más poblado después de Bogotá. Limita con otros departamentos colombianos y el mar Caribe. Su capital y ciudad más grande es Medellín.
Working at the Royal BC Museum in Victoria, BC as well as being a fan of visiting museums wherever I go, I have put together a few simple tips for visiting a museum. Share your tips with me @GoughKim
Body Weight-Normalized Energy Expenditure Estimation Using Combined Activity ...Marco Altini
Presentation for EMBC 2013 — Wearable sensors have great potential for accurate estimation of Energy Expenditure (EE) in daily life. Advances in wearable technology (miniaturization, lower costs), and machine learning techniques as well as recently developed self-monitoring movements, such as the Quantified Self, are facilitating mass adoption. However, EE estimations are affected by a person’s body weight (BW). BW is a confounding variable preventing meaningful individual and group comparisons. In this paper we present a machine learning approach for BW normalization and activities clustering. In our approach to activity-specific EE modeling, we adopt a genetic algorithm- based clustering scheme, not only based on accelerometer (ACC) features, but also on allometric coefficients derived from 19 subjects performing a wide set of lifestyle and gym activities. We show that our approach supports making comparisons be- tween individuals performing the same activities independently of BW, while maintaining accuracy in the EE estimate.
Demonstration paper - Personalized Physical Activity Monitoring on the MoveMarco Altini
This document discusses personalizing physical activity monitoring to account for between-person variability. It shows that two people of the same size can burn the same amount of calories from daily activities but have different heart rates due to differences in fitness level. To personalize monitoring, it normalizes heart rate data using a heart rate normalization factor for low-intensity activities. Normalizing heart rate data leads to better estimates of energy expenditure compared to not normalizing during activities like running, biking and walking.
Este documento describe una agencia de promociones BTL (abajo de la línea) que crea e implementa estrategias promocionales creativas y efectivas dirigidas a públicos segmentados. Su objetivo es crear experiencias interactivas que incrementen el valor de la marca, generen sentido de pertenencia y lealtad hacia la marca, y lleguen al público meta de sus clientes. La agencia ofrece una variedad de servicios BTL como activaciones, lanzamientos, degustaciones, muestreos, ferias comerciales, volanteo, shows, publicidad
Quick start guide of the Heart Rate Variability Logger app, an app that lets you record, plot and export time and frequency domain Heart Rate Variability Features (includes experience sampling, rr-interval correction, comparison between recordings, activity monitoring & step counting, location tracking).
iPhone app: https://itunes.apple.com/us/app/heart-rate-variability-logger/id683984776?ls=1&mt=8
android app: https://play.google.com/store/apps/details?id=ma.hrvlogger&hl=en
More information and implementation details can be found here: http://www.marcoaltini.com/2/post/2013/12/heart-rate-variability-logger-app-details.html
The document discusses problems with the production and consumption of juices and functional beverages in Russia. It notes that current technologies are not maximizing the extraction of juices and substances from raw materials. A new technology is proposed that fully extracts juices and retains biologically active substances. This would allow the production of new enriched juice samples and functional products to improve public health. The technology could be used by food companies and the products consumed nationwide.
Slides for my PhD defense. Title: "Personalization of energy expenditure and cardiorespiratory fitness estimation using
wearable sensors in supervised and unsupervised free-living conditions" - Full text: http://www.marcoaltini.com/uploads/1/3/2/3/13234002/20150919_thesis.pdf
Alfalah Insurance Co. Ltd. is a subsidiary of Abu Dhabi Group established in 2006. It aims to be a leading insurer providing comprehensive and flexible insurance. Its mission is to provide world-class service, increase security for clients, and enhance confidence in Pakistan's insurance industry. It has over 230 million in paid-up capital and offices across major Pakistani cities. Alfalah offers various property, engineering, and pecuniary insurance products and has an A+ rating from PACRA. While it has strengths like its rating and guidelines, it faces weaknesses in awareness and specialization. It sees opportunities in expanding services but threats from competition. Its financial highlights show increasing business year-over-year.
Personalizing Energy Expenditure Estimation Using a Cardiorespiratory Fitness...Marco Altini
Presentation for Pervasive Health 2013.
Paper Abstract: Accurate Energy Expenditure (EE) estimation is key in understanding how behavior and daily physical activity (PA) patterns affect health, especially in today’s sedentary society. Wearable accelerometers (ACC) and heart rate (HR) sensors have been widely used to monitor physical activity and estimate EE. However, current EE estimation algorithms have not taken into account a person’s cardiorespiratory fitness (CRF), even though CRF is the main cause of inter-individual variation in HR during exercise. In this paper we propose a new algorithm, which is able to significantly reduce EE estimate error and inter-individual variability, by automatically modeling CRF, without requiring users to perform specific fitness tests. Results show a decrease in Root Mean Square Error (RMSE) between 28 and 33% for walking, running and biking activities, compared to state of the art activity-specific EE algorithms combining ACC and HR.
The document discusses problems with the production and consumption of juices and functional beverages in Russia. It notes that current technologies are not maximizing the extraction of juices and substances from raw materials. A new technology is proposed that fully extracts juices and retains biologically active substances. This would allow the production of new enriched juice samples and functional products to improve public health. The technology could be used by food companies and the products consumed nationwide.
Slides for my PhD defense. Title: "Personalization of energy expenditure and cardiorespiratory fitness estimation using
wearable sensors in supervised and unsupervised free-living conditions" - Full text: http://www.marcoaltini.com/uploads/1/3/2/3/13234002/20150919_thesis.pdf
Alfalah Insurance Co. Ltd. is a subsidiary of Abu Dhabi Group established in 2006. It aims to be a leading insurer providing comprehensive and flexible insurance. Its mission is to provide world-class service, increase security for clients, and enhance confidence in Pakistan's insurance industry. It has over 230 million in paid-up capital and offices across major Pakistani cities. Alfalah offers various property, engineering, and pecuniary insurance products and has an A+ rating from PACRA. While it has strengths like its rating and guidelines, it faces weaknesses in awareness and specialization. It sees opportunities in expanding services but threats from competition. Its financial highlights show increasing business year-over-year.
Personalizing Energy Expenditure Estimation Using a Cardiorespiratory Fitness...Marco Altini
Presentation for Pervasive Health 2013.
Paper Abstract: Accurate Energy Expenditure (EE) estimation is key in understanding how behavior and daily physical activity (PA) patterns affect health, especially in today’s sedentary society. Wearable accelerometers (ACC) and heart rate (HR) sensors have been widely used to monitor physical activity and estimate EE. However, current EE estimation algorithms have not taken into account a person’s cardiorespiratory fitness (CRF), even though CRF is the main cause of inter-individual variation in HR during exercise. In this paper we propose a new algorithm, which is able to significantly reduce EE estimate error and inter-individual variability, by automatically modeling CRF, without requiring users to perform specific fitness tests. Results show a decrease in Root Mean Square Error (RMSE) between 28 and 33% for walking, running and biking activities, compared to state of the art activity-specific EE algorithms combining ACC and HR.