Lista de obras - Stephen J Redmond - Dominio Público Uruguay

A comparison of activity classification in younger and older cohorts using a smartphone

artículo científico publicado en 2014

Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people.

artículo científico

Barometric pressure and triaxial accelerometry-based falls event detection

artículo científico publicado en 2010

Bottom-up subspace clustering suggests a paradigm shift to prevent fall injuries

artículo científico publicado en 2015

Can Triaxial Accelerometry Accurately Recognize Inclined Walking Terrains?

artículo científico publicado en 2010

Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea.

artículo científico publicado en 2006

Classification of low systemic vascular resistance using photoplethysmogram and routine cardiovascular measurements

artículo científico publicado en 2010

Classifying Torque, Normal Force and Direction Using Monkey Afferent Nerve Spike Rates

Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone

artículo científico publicado en 2020

Design of a decision-support architecture for management of remotely monitored patients

artículo científico publicado en 2010

Design of an unobtrusive system for fall detection in multiple occupancy residences

artículo científico publicado en 2013

Development of a standard fall data format for signals from body-worn sensors : the FARSEEING consensus.

artículo científico publicado en 2013

Electrocardiogram signal quality measures for unsupervised telehealth environments.

artículo científico publicado en 2012

Encoding of tangential torque in responses of tactile afferent fibres innervating the fingerpad of the monkey

article

Energy expenditure estimation during normal ambulation using triaxial accelerometry and barometric pressure

artículo científico publicado en 2012

Estimating Lower Body Kinematics Using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count

artículo científico publicado en 2021

Estimating Lower Limb Kinematics Using a Lie Group Constrained Extended Kalman Filter with a Reduced Wearable IMU Count and Distance Measurements

artículo científico publicado en 2020

Estimation of cardiac output and systemic vascular resistance using a multivariate regression model with features selected from the finger photoplethysmogram and routine cardiovascular measurements

artículo científico publicado en 2013

Estimation of cardiac output and total peripheral resistance in preterm infants by arterial waveform analysis

artículo científico publicado en 2013

Generating tactile afferent stimulation patterns for slip and touch feedback in neural prosthetics

artículo científico publicado en 2013

Inertial measurements of free-living activities: assessing mobility to predict falls

artículo científico publicado en 2014

Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recognition Rate of Human Postures and Activities

scientific article published on 26 June 2019

Longitudinal falls-risk estimation using triaxial accelerometry

artículo científico publicado en 2009

Multivariate classification of systemic vascular resistance using photoplethysmography

artículo científico publicado en 2011

New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians

artículo científico publicado en 2015

Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data

artículo científico publicado en 2014

Signal quality measures for pulse oximetry through waveform morphology analysis.

artículo científico publicado en 2011

Signal quality measures for unsupervised blood pressure measurement.

artículo científico publicado en 2012

Signal quality measures on pulse oximetry and blood pressure signals acquired from self-measurement in a home environment.

artículo científico publicado en 2014

Simulated unobtrusive falls detection with multiple persons

artículo científico publicado en 2012

Study protocol for the PHANTOM study: prehospital assessment of noninvasive tissue oximetry monitoring

artículo científico publicado en 2014

Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device.

artículo científico publicado en 2016

Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.

artículo científico publicado en 2015

Lista de obras de Stephen J Redmond

A comparison of activity classification in younger and older cohorts using a smartphone

Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people.

Barometric pressure and triaxial accelerometry-based falls event detection

Bottom-up subspace clustering suggests a paradigm shift to prevent fall injuries

Can Triaxial Accelerometry Accurately Recognize Inclined Walking Terrains?

Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea.

Classification of low systemic vascular resistance using photoplethysmogram and routine cardiovascular measurements

Classifying Torque, Normal Force and Direction Using Monkey Afferent Nerve Spike Rates

Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone

Design of a decision-support architecture for management of remotely monitored patients

Design of an unobtrusive system for fall detection in multiple occupancy residences

Development of a standard fall data format for signals from body-worn sensors : the FARSEEING consensus.

Electrocardiogram signal quality measures for unsupervised telehealth environments.

Encoding of tangential torque in responses of tactile afferent fibres innervating the fingerpad of the monkey

Energy expenditure estimation during normal ambulation using triaxial accelerometry and barometric pressure

Estimating Lower Body Kinematics Using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count

Estimating Lower Limb Kinematics Using a Lie Group Constrained Extended Kalman Filter with a Reduced Wearable IMU Count and Distance Measurements

Estimation of cardiac output and systemic vascular resistance using a multivariate regression model with features selected from the finger photoplethysmogram and routine cardiovascular measurements

Estimation of cardiac output and total peripheral resistance in preterm infants by arterial waveform analysis

Generating tactile afferent stimulation patterns for slip and touch feedback in neural prosthetics

Inertial measurements of free-living activities: assessing mobility to predict falls

Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recognition Rate of Human Postures and Activities

Longitudinal falls-risk estimation using triaxial accelerometry

Multivariate classification of systemic vascular resistance using photoplethysmography

New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians

Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data

Signal quality measures for pulse oximetry through waveform morphology analysis.

Signal quality measures for unsupervised blood pressure measurement.

Signal quality measures on pulse oximetry and blood pressure signals acquired from self-measurement in a home environment.

Simulated unobtrusive falls detection with multiple persons

Study protocol for the PHANTOM study: prehospital assessment of noninvasive tissue oximetry monitoring

Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device.

Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.