Emer P Doheny

Emer P Doheny
University College Dublin | UCD · School of Electrical and Electronic Engineering and Insight Centre for Data Analytics

PhD

About

47
Publications
16,673
Reads
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1,040
Citations
Introduction
Emer Doheny is a senior research fellow with the Neuromuscular Systems Research group, and the Insight Centre for Data Analytics. Her research focuses on applying signal processing methods to wearable and mobile sensor data for sleep, respiration, and activity monitoring, for applications in wellness and health.
Additional affiliations
January 2013 - February 2017
ResMed Ltd.
Position
  • Engineer
Description
  • Developing algorithms for assessment of sleep and respiration using a non-contact sensor. Clinical trial design, and research on sleep, sleep disordered breathing and chronic disease monitoring.
July 2009 - December 2012
St. James's Hospital
Position
  • Technology Research for Independent Living (TRIL)
July 2009 - January 2013
Intel
Position
  • Engineer
Description
  • Research in technologies for ageing and independent living applications. Algorithm development for falls risk and frailty risk assessment, using inertial sensor data.

Publications

Publications (47)
Conference Paper
Background Objective evaluation of gait impairment in Huntington’s Disease (HD) is challenging both in clinical trials and clinical practice. Algorithms, such as Teager-Kaiser Gait Event Detection (TKGED), enable detection of initial (IC) and terminal (TC) contact, using accelerometers on the shanks [1]. TKGED has not been validated in HD despite k...
Conference Paper
Background Physical activity has been implicated in improving symptom management and quality of life in Huntington’s disease (HD). Verifying the role of physical activity in HD requires accurate quantification of exercise metrics. Aim To assess the reliability and validity of Fitbit® Charge 4 step-count compared to research accelerometers and obse...
Conference Paper
Background The impact of modifiable lifestyle factors on Huntington’s Disease (HD) is an emerging area of interest in the HD community. DOMINO-HD is the first study of its kind to integrate prospective longitudinal physical activity, sleep and nutrition metrics to explore the interplay between multi-domain environmental factors and HD outcomes. Ai...
Conference Paper
Background Changes in voice are a characteristic symptom of Huntington’s disease (HD), and can be associated with lack of motor control (dysarthria) or cognitive impairment. Objective quantitative measures of voice that can be performed within the clinic or home may provide a method to monitor disease progression and help target interventions. Aim...
Article
The five times sit-to-stand test (FTSS) is an established functional test, used clinically as a measure of lower-limb strength, endurance and falls risk. We report a novel method to estimate and classify cognitive function, balance impairment and falls risk using the FTSS and body-worn inertial sensors. 168 community dwelling older adults received...
Conference Paper
Background Sleep is affected by Huntington’s disease (HD), and sleep quality is linked to neurodegeneration. Wearable devices, such as Fitbit, use inertial sensors and photoplethysmography to estimate sleep stages during sleep, providing a low-cost solution for home-based sleep monitoring. While Fitbit devices have been validated in healthy individ...
Conference Paper
Background Body composition is a strong indicator of nutritional and health status. Dual energy X-ray absorptiometry (DXA), multifrecuency bioelectrical impedance analysis (BIA), anthropometry and, skinfolds are non invasive methods to assess body composition with different levels of reliability. The validity of anthropometric and skinfolds to esti...
Conference Paper
Background There is a need for accurate quantitative measures of speech in Huntington’s disease that can be used for home and in-clinic assessment. Mobile devices provide an easy-to-use, low-cost alternative to laboratory standard microphone-amplifier equipment but require validation prior to clinical use Aims To establish if mobile devices are su...
Conference Paper
Gait analysis has many potential applications in understanding the activity profiles of individuals in their daily lives, particularly when studying the progression of recovery following injury, or motor deterioration in pathological conditions. One of the many challenges of conducting such analyses in the home environment is the correct and automa...
Conference Paper
Wearable inertial sensors offer the possibility to monitor sleeping position and respiration rate during sleep, enabling a comfortable and low-cost method to remotely monitor patients. Novel methods to estimate respiration rate and position during sleep using accelerometer data are presented, with algorithm performance examined for two sensor locat...
Article
Recent advances in wearable sensors enable recording of electromyography (EMG) outside the laboratory for extended periods of time. However, the properties of wearable EMG systems designed for long-term recording may differ from those of laboratory-standard systems, potentially impacting data. This study evaluated EMG features derived from signals...
Article
Study Objectives To assess the sleep detection and staging validity of a non-contact, commercially available bedside bio-motion sensing device (S+, ResMed) and evaluate the impact of algorithm updates. Methods Polysomnography data from 27 healthy adult participants was compared epoch-by-epoch to synchronized data that were recorded and staged by a...
Conference Paper
Wearable accelerometers can be used to quantify movement during swimming, enabling objective performance analysis. This study examined arm acceleration during front crawl swimming, and investigated how accelerometer-derived features change with lap times. Thirteen participants swam eight 50m laps using front crawl with a tri-axial accelerometer att...
Article
The high prevalence of obstructive sleep apnea has led to increasing interest in ambulatory diagnosis. The SleepMinder™ (SM) is a novel non‐contact device that employs radiofrequency wave technology to assess the breathing pattern, and thereby estimate obstructive sleep apnea severity. We assessed the performance of SleepMinder™ in the home diagnos...
Conference Paper
Full-text available
Non-contact sensing technology can allow quantitative measurement of sleep beyond the hospital setting, in a user-friendly and cost-effective manner. Wrist actigraphy has been extensively validated as an alternative to polysomnography (PSG), the gold standard in sleep monitoring. Results reported in the literature indicate actigraphy-based devices...
Poster
Full-text available
Introduction Expanding recognition of sleep’s importance has created a vast commercial market for sleep monitoring devices. Device reliability is generally presumed, despite low performance: typically, high sleep-detecting sensitivity (≥95%) but poor wake-detecting specificity (≤40%). To describe the validity of a novel device and illustrate the im...
Article
Full-text available
Frailty is an important geriatric syndrome strongly linked to falls risk as well as increased mortality and morbidity. Taken alone, falls are the most common cause of injury and hospitalization and one of the principal causes of death and disability in older adults worldwide. Reliable determination of older adults' frailty state in concert with the...
Article
Full-text available
frailty is an important geriatric syndrome linked to increased mortality, morbidity and falls risk. a total of 399 community-dwelling older adults were assessed using Fried's frailty phenotype and the timed up and go (TUG) test. Tests were quantified using shank-mounted inertial sensors. We report a regression-based method for assessment of frailty...
Article
Full-text available
Recent research has provided evidence suggesting a link between inefficient processing of multisensory information and incidence of falling in older adults. Specifically, Setti et al. (Exp Brain Res 209:375-384, 2011) reported that older adults with a history of falling were more susceptible than their healthy, age-matched counterparts to the sound...
Article
The current study examined the role of vision in spatial updating and its potential contribution to an increased risk of falls in older adults. Spatial updating was assessed using a path integration task in fall-prone and healthy older adults. Specifically, participants conducted a triangle completion task in which they were guided along two sides...
Article
Full-text available
Aging-related decline in functional mobility is associated with loss of independence. This decline may be mitigated through programs of physical activity. Despite reports of aging-related mobility impairment in middle-aged adults, this age group has been largely overlooked in terms of exercise programs that target functional mobility and the preser...
Article
Full-text available
Falls are the most common cause of injury and hospitalization and one of the principal causes of death and disability in older adults worldwide. Measures of postural stability have been associated with the incidence of falls in older adults. The aim of this study was to develop a model that accurately classifies fallers and non-fallers using novel...
Article
Full-text available
We investigated three methods for estimating centre of pressure excursions, as measured using a portable pressure sensor matrix, in order to deploy similar technology into the homes of older adults for longitudinal monitoring of postural control and falls risk. We explored the utility of these three methods as markers of falls risk in a cohort of 1...
Article
Postural sway during quiet standing is associated with falls risk in older adults. The aim of this study was to investigate the utility of a range of accelerometer-derived parameters of centre of mass (COM) displacement in identifying older adults at risk of falling. A series of instrumented standing balance trials were performed to investigate pos...
Article
Full-text available
This study compares the performance of algorithms for body-worn sensors used with a spatiotemporal gait analysis platform to the GAITRite electronic walkway. The mean error in detection time (true error) for heel strike and toe-off was 33.9 ± 10.4 ms and 3.8 ± 28.7 ms, respectively. The ICC for temporal parameters step, stride, swing and stance tim...
Article
Full-text available
Falls are the most common cause of injury and hospitalization and one of the principal causes of death and disability in older adults worldwide. This study aimed to determine if a method based on body-worn sensor data can prospectively predict falls in community-dwelling older adults, and to compare its falls prediction performance to two standard...
Article
One in three adults aged over 65 falls every year, resulting in enormous costs to society. Incidents of falling vary with time of day, peaking in the early morning. The aim of this study was to determine if the ability of instrumented gait and balance assessments to discriminate between participants based on their falls history varies diurnally. Bo...
Article
It has previously been shown that older adults may be less efficient than younger adults at processing multisensory information, and that older adults with a history of falling may be less efficient than a healthy cohort when processing audio–visual stimuli (Setti et al., 2011). We investigated whether body stance has an effect on older adults’ abi...
Article
Gait impairment is associated with increased falls risk. The gait of 321 community dwelling elderly adults was assessed using the TRIL Gait Analysis Platform (GAP), which was specially designed for ease of use in a research clinic setting by non-experts. The GAP featured body-worn kinematic sensors, a pressure sensitive electronic walkway, and two...
Article
Full-text available
Recent advances in body-worn sensor technology have increased the scope for harnessing quantitative information from the timed-up-and-go test (TUG), well beyond simply the time taken to perform the test. Previous research has shown that the quantitative TUG method can differentiate fallers from non-fallers with greater success than the manually tim...
Article
Full-text available
An instrumented version of the five-times-sit-to-stand test was performed in the homes of a group of older adults, categorised as fallers or non-fallers. Tri-axial accelerometers were secured to the sternum and anterior thigh of each participant during the assessment. Accelerometer data were then used to examine the timing of the movement, as well...
Article
Full-text available
Falls in the elderly are a major problem worldwide with enormous associated economic and societal costs. Minimum ground clearance (MGC) is an important gait variable when considering trip-related falls risk. This study aimed to investigate the clinical relevance of inertial sensor derived parameters, previously shown to be related to MGC. Previous...
Article
Inertial sensors have become increasingly popular in gait analysis, due to their highly portable, low cost, and potentially wireless nature. However, accurate spatial gait analysis using few sensors remains a challenge. A gyroscope-based algorithm for spatial gait analysis is presented. This novel algorithm (SGA) uses data from a single gyroscope a...
Article
Full-text available
Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product performance, robustness and extensibility. Wearable physiological monitoring systems have been utilized in a variety of studies, particularly those investigating ECG or EMG during human movement or sleep monitori...
Article
The effect of subcutaneous fat thickness, electrode size and inter-electrode distance on the minimum stimulus current necessary for fiber excitation was examined in an attempt to improve the efficacy of neuromuscular electrical stimulation (NMES) in obese populations. A three-dimensional finite element model of the human thigh was developed and use...
Article
Joint centre displacement may occur following total elbow replacement due to aseptic loosening or surgical misalignment, and has been linked to implant failure. In this study, the effects of joint centre displacement were examined using a neuromusculoskeletal model of the elbow joint. Isometric contractions were simulated at a range of joint angles...
Article
Full-text available
Transcutaneous electrical stimulation is a widely used technique to relieve the symptoms of various neuromuscular disorders and to improve muscle strength. It is currently being investigated in the treatment of obesity to physically enable and encourage increased levels of voluntary exercise. Due to the high resistivity of subcutaneous fat tissue,...
Article
The purpose of this study was to examine the effect of joint angle on the relationship between force and electromyogram (EMG) amplitude and median frequency, in the biceps, brachioradialis and triceps muscles. Surface EMG were measured at eight elbow angles, during isometric flexion and extension at force levels from 10% to 100% of maximum voluntar...
Article
In this study, the effect of changing the geometry of the elbow joint was examined using a neuromusculoskeletal model. The position of the center of the joint was altered in order to simulate aseptic loosing or misalignment of the humeral component of a total elbow replacement. The effect of this change on model parameters, including the muscle mom...

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Projects

Project (1)
Project
Development of non-contact sleep and respiration monitoring devices for both consumer and medical applications