Search results for: Silvia Del Din

Items from 1 to 20 out of 26 results

article

Digital Mobility Measures: A Window into Real‐World Severity and Progression of Parkinson's Disease

Anat Mirelman, Jana Volkov, Amit Salomon, Eran Gazit, more

Background Real‐world monitoring using wearable sensors has enormous potential for assessing disease severity and symptoms among persons with Parkinson's disease (PD). Many distinct features can be extracted, reflecting multiple mobility domains. However, it is unclear which digital measures are related to PD severity and are sensitive to disease progression. Objectives The aim was to identify...

article

Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning

Anat Mirelman, Mor Ben Or Frank, Michal Melamed, Lena Granovsky, more

Movement Disorders > 36 > 9 > 2144 - 2155

Background It is not clear how specific gait measures reflect disease severity across the disease spectrum in Parkinson's disease (PD). Objective To identify the gait and mobility measures that are most sensitive and reflective of PD motor stages and determine the optimal sensor location in each disease stage. Methods Cross‐sectional wearable‐sensor records were collected in 332 patients with...

article

Tossing and Turning in Bed: Nocturnal Movements in Parkinson's Disease

Anat Mirelman, Inbar Hillel, Lynn Rochester, Silvia Del Din, more

Movement Disorders > 35 > 6 > 959 - 968

Background Sleep disturbances and nocturnal hypokinesia are common in Parkinson's disease (PD). Recent work using wearable technologies showed fewer nocturnal movements in PD when compared with controls. However, it is unclear how these manifest across the disease spectrum. Objectives We assessed the prevalence of sleep disturbances and nocturnal hypokinesia in early and advanced PD and their relation...

article

Reply to “Quantitative Motor Functioning in Prodromal Parkinson Disease”

Walter Maetzler, Silvia Del Din, Morad Elshehabi, Brook Galna, more

Annals of Neurology > 86 > 6 > 981 - 982

article

Gait analysis with wearables predicts conversion to Parkinson disease

Silvia Del Din, Morad Elshehabi, Brook Galna, Markus A. Hobert, more

Annals of Neurology > 86 > 3 > 357 - 367

Objective Quantification of gait with wearable technology is promising; recent cross‐sectional studies showed that gait characteristics are potential prodromal markers for Parkinson disease (PD). The aim of this longitudinal prospective observational study was to establish gait impairments and trajectories in the prodromal phase of PD, identifying which gait characteristics are potentially early...

article

Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults

Matilde Bertoli, Andrea Cereatti, Diana Trojaniello, Laura Avanzino, more

BioMedical Engineering OnLine > 2018 > 17 > 1 > 1-14

Background The use of miniaturized magneto-inertial measurement units (MIMUs) allows for an objective evaluation of gait and a quantitative assessment of clinical outcomes. Spatial and temporal parameters are generally recognized as key metrics for characterizing gait. Although several methods for their estimate have been proposed, a thorough error analysis across different pathologies, multiple clinical...

article

Comprehensive measurement of stroke gait characteristics with a single accelerometer in the laboratory and community: a feasibility, validity and reliability study

Sarah A. Moore, Aodhan Hickey, Sue Lord, Silvia Del Din, more

Journal of NeuroEngineering and Rehabilitation > 2017 > 14 > 1 > 1-10

Background Application of objective measurement of stroke gait with accelerometer-based wearable technology and associated algorithms is increasing, despite reports questioning the accuracy of this technique in quantifying specific stroke-related gait impairments. The aim of this study is to determine the feasibility, validity and reliability of a low-cost open-source system incorporating algorithms...

article

A model of free-living gait: A factor analysis in Parkinson’s disease

Rosie Morris, Aodhán Hickey, Silvia Del Din, Alan Godfrey, more

Gait & Posture > 2017 > 52 > C > 68-71

Gait is a marker of global health, cognition and falls risk. Gait is complex, comprised of multiple characteristics sensitive to survival, age and pathology. Due to covariance amongst characteristics, conceptual gait models have been established to reduce redundancy and aid interpretation. Previous models have been derived from laboratory gait assessments which are costly in equipment and time. Body-worn...

article

Altered EMG patterns in diabetic neuropathic and not neuropathic patients during step ascending and descending

Fabiola Spolaor, Zimi Sawacha, Gabriella Guarneri, Silvia Del Din, more

Journal of Electromyography and Kinesiology > 2016 > 31 > C > 32-39

Diabetic peripheral neuropathy (DPN) causes motor control alterations during daily life activities. Tripping during walking or stair climbing is the predominant cause of falls in the elderly subjects with DPN and without (NoDPN). Surface Electromyography (sEMG) has been shown to be a valid tool for detecting alterations of motor functions in subjects with DPN. This study aims at investigating the...

article

Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial

Anat Mirelman, Lynn Rochester, Inbal Maidan, Silvia Del Din, more

The Lancet > 2016 > 388 > 10050 > 1170-1182

Age-associated motor and cognitive deficits increase the risk of falls, a major cause of morbidity and mortality. Because of the significant ramifications of falls, many interventions have been proposed, but few have aimed to prevent falls via an integrated approach targeting both motor and cognitive function. We aimed to test the hypothesis that an intervention combining treadmill training with non-immersive...

article

Free‐living monitoring of Parkinson's disease: Lessons from the field

Silvia Del Din, Alan Godfrey, Claudia Mazzà, Sue Lord, more

Movement Disorders > 31 > 9 > 1293 - 1313

Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the body and/or paired with mobile devices (eg, smart phones) allowing continuous patient monitoring in unsupervised, habitual environments (termed free‐living). Wearable technologies are revolutionizing approaches to health care as a result of their utility, accessibility, and affordability. They are positioned to transform...

chapter

Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometer

Alan Godfrey, Alan Bourke, Silvia Del Din, Rosie Morris, more

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) > 651 - 654

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Technological developments have seen the miniaturization of sensors, small enough to be embedded in wearable devices facilitating unobtrusive and longitudinal monitoring in free-living environments. Concurrently, the advances in algorithms have been ad-hoc and fragmented. To advance the mainstream use of wearable technology and improved functionality of algorithms all methodologies must be unified...

chapter

Toward a low-cost gait analysis system for clinical and free-living assessment

Cassim Ladha, Silvia Del Din, Kianoush Nazarpour, Aodhan Hickey, more

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) > 1874 - 1877

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a...

chapter

Accelerometer-based gait assessment: Pragmatic deployment on an international scale

Silvia Del Din, Aodhan Hickey, Simon Woodman, Hugo Hiden, more

2016 IEEE Statistical Signal Processing Workshop (SSP) > 1 - 5

2016 IEEE Statistical Signal Processing Workshop (SSP)

Gait is emerging as a powerful tool to detect early disease and monitor progression across a number of pathologies. Typically quantitative gait assessment has been limited to specialised laboratory facilities. However, measuring gait in home and community settings may provide a more accurate reflection of gait performance because: (1) it will not be confounded by attention which may be heightened...

article

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

Silvia Del Din, Alan Godfrey, Lynn Rochester

IEEE Journal of Biomedical and Health Informatics > 2016 > 20 > 3 > 838 - 847

Measurement of gait is becoming important as a tool to identify disease and disease progression, yet to date its application is limited largely to specialist centers. Wearable devices enables gait to be measured in naturalistic environments, however questions remain regarding validity. Previous research suggests that when compared with a laboratory reference, measurement accuracy is acceptable for...

article

Time-dependent changes in postural control in early Parkinson’s disease: what are we missing?

Silvia Del Din, Alan Godfrey, Shirley Coleman, Brook Galna, more

Medical & Biological Engineering & Computing > 2016 > 54 > 2-3 > 401-410

Impaired postural control (PC) is an important feature of Parkinson’s disease (PD), but optimal testing protocols are yet to be established. Accelerometer-based monitors provide objective measures of PC. We characterised time-dependent changes in PC in people with PD and controls during standing, and identified outcomes most sensitive to pathology. Thirty-one controls and 26 PD patients were recruited:...

article

Free-living gait characteristics in ageing and Parkinson’s disease: impact of environment and ambulatory bout length

Silvia Del Din, Alan Godfrey, Brook Galna, Sue Lord, more

Journal of NeuroEngineering and Rehabilitation > 2016 > 13 > 1 > 1-12

Background Gait is emerging as a powerful diagnostic and prognostic tool, and as a surrogate marker of disease progression for Parkinson’s disease (PD). Accelerometer-based body worn monitors (BWMs) facilitate the measurement of gait in clinical environments. Moreover they have the potential to provide a more accurate reflection of gait in the home during habitual behaviours. Emerging research suggests...

chapter

Within trial validation and reliability of a single tri-axial accelerometer for gait assessment

Alan Godfrey, Silvia Del Din, Gillian Barry, John C. Mathers, more

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society > 5892 - 5895

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Gait is a sensitive biomarker of decline in both cognitive and physical function. Therefore, the collection of gait data is an important feature of clinical assessments. Accelerometer-based body worn sensors are quickly becoming the preferred tool for assessing gait because they are small, useable in a wide variety of settings, offer more continuous spatio-temporal analysis and are inexpensive when...

article

Stair ascending and descending task could be a valid tool for assessing diabetic subjects balance alterations

Zimi Sawacha, Fabiola Spolaor, Silvia Del Din, Gabriella Guarneri, more

Gait & Posture > 2014 > 40 > Supplement 1 > S9-S10

article

Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study

Silvia Del Din, Alessandra Bertoldo, Zimi Sawacha, Johanna Jonsdottir, more

Journal of NeuroEngineering and Rehabilitation > 2014 > 11 > 1 > 1-12

Background The ability to walk independently is a primary goal for rehabilitation after stroke. Gait analysis provides a great amount of valuable information, while functional magnetic resonance imaging (fMRI) offers a powerful approach to define networks involved in motor control. The present study reports a new methodology based on both fMRI and gait analysis outcomes in order to investigate the...

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INFONA - science communication portal

Search results for: Silvia Del Din

Digital Mobility Measures: A Window into Real‐World Severity and Progression of Parkinson's Disease

Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning

Tossing and Turning in Bed: Nocturnal Movements in Parkinson's Disease

Reply to “Quantitative Motor Functioning in Prodromal Parkinson Disease”

Gait analysis with wearables predicts conversion to Parkinson disease

Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults

Comprehensive measurement of stroke gait characteristics with a single accelerometer in the laboratory and community: a feasibility, validity and reliability study

A model of free-living gait: A factor analysis in Parkinson’s disease

Altered EMG patterns in diabetic neuropathic and not neuropathic patients during step ascending and descending

Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial

Free‐living monitoring of Parkinson's disease: Lessons from the field

Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometer

Toward a low-cost gait analysis system for clinical and free-living assessment

Accelerometer-based gait assessment: Pragmatic deployment on an international scale

Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use

Time-dependent changes in postural control in early Parkinson’s disease: what are we missing?

Free-living gait characteristics in ageing and Parkinson’s disease: impact of environment and ambulatory bout length

Within trial validation and reliability of a single tri-axial accelerometer for gait assessment

Stair ascending and descending task could be a valid tool for assessing diabetic subjects balance alterations

Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study

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