Applying new sensing technology to healthcare maybe part of a solution the financial and demographic crisis facing global systems. Researchers applying approaches noninvasive patient monitoring diagnostics are assisted by features Sensing Health with Intelligence, Modularity, Mobility Experimental Reusability (SHIMMER™), flexible platform. Integrated peripherals, open software, modular expansion, specific power management hardware, library applications supported platform validation provide...

Falls are a major problem in older adults worldwide with an estimated 30% of elderly over 65 years age falling each year. The direct and indirect societal costs associated falls enormous. A system that could provide accurate automated assessment risk prior to would allow timely intervention ease the burden on overstretched healthcare systems worldwide. An objective method for assessing using body-worn kinematic sensors is reported. gait balance 349 community-dwelling was assessed while...

Falls are the most common cause of injury and hospitalization one principal causes death disability in older adults worldwide. This study aimed to determine if a method based on body-worn sensor data can prospectively predict falls community-dwelling adults, compare its prediction performance two standard methods same set.Data were acquired using sensors, mounted left right shanks, from 226 (mean age 71.5 ± 6.7 years, 164 female) quantify gait lower limb movement while performing 'Timed Up...

Background: frailty is an important geriatric syndrome linked to increased mortality, morbidity and falls risk. Methods: a total of 399 community-dwelling older adults were assessed using Fried's phenotype the timed up go (TUG) test. Tests quantified shank-mounted inertial sensors. We report regression-based method for assessment sensor data obtained during TUG. For comparison, was also same based on grip strength manual TUG time. Results: data, participants classified as frail or non-frail...

Falls are the leading global cause of accidental death and disability in older adults most common injury hospitalization. Accurate, early identification patients at risk falling, could lead to timely intervention a reduction incidence fall-related associated costs. We report statistical method for fall assessment using standard clinical factors (N = 748). also means improving this by automatically combining it, with algorithm based on inertial sensor data timed-up-and-go test. Furthermore,...

Abstract INTRODUCTION Early detection of Alzheimer's disease and cognitive impairment is critical to improving the healthcare trajectories aging adults, enabling early intervention potential prevention decline. METHODS To evaluate multi‐modal feature sets for assessing memory impairment, selection subsequent logistic regressions were used identify most salient features in classifying Rey Auditory Verbal Learning Test‐determined impairment. RESULTS Multimodal models incorporating graphomotor,...

Frailty is an important geriatric syndrome strongly linked to falls risk as well increased mortality and morbidity. Taken alone, are the most common cause of injury hospitalization one principal causes death disability in older adults worldwide. Reliable determination adults' frailty state concert with their could lead targeted intervention improved quality care. We report a mobile assessment platform employing inertial pressure sensors quantify balance mobility using three physical...

Falls are the most common cause of injury and hospitalization one principal causes death disability in older adults worldwide. Measures postural stability have been associated with incidence falls adults. The aim this study was to develop a model that accurately classifies fallers non-fallers using novel multi-sensor quantitative balance metrics can be easily deployed into home or clinic setting. We compared classification accuracy our an established method for risk assessment, Berg scale....

Postural sway during quiet standing is associated with falls risk in older adults. The aim of this study was to investigate the utility a range accelerometer-derived parameters centre mass (COM) displacement identifying adults at falling. A series instrumented balance trials were performed postural control group adults, categorised as fallers or non-fallers. During each trial, participants asked stand still possible under two conditions: comfortable stance (six repetitions) and semi-tandem...

Falls are among the most frequent and costly population health issues, costing $50bn each year in US. In current clinical practice, falls (and associated fall risk) often self-reported after "first fall", delaying primary prevention of development targeted interventions. Current methods for assessing risk can be subjective, inaccurate, have low inter-rater reliability, do not address factors contributing to (poor balance, gait speed, transfers, turning). 8521 participants (72.7 ± 12.0 years,...

Ageing incurs a natural decline of postural control which has been linked to an increased risk falling. Accurate balance assessment is important in identifying instability and informing targeted interventions prevent falls older adults. Inertial sensor (IMU) technology offers low-cost means for objective quantification human movement. This paper describes two studies carried out advance the use IMU-based assessments Study 1 (N = 39) presents development new IMU-derived measures. 2 248)...

Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product performance, robustness extensibility. Wearable physiological monitoring systems been utilized a variety of studies, particularly those investigating ECG or EMG during human movement sleep monitoring. These require extensive validation ensure accurate repeatable functionality. Here we validate the signals (EMG, GSR) SHIMMER (Sensing Health with...

Development of a flexible wireless sensor platform for measurement biomechanical and physiological variables related to functional movement would be vital step towards effective ambulatory monitoring early detection risk factors in the ageing population. The small form factor, wirelessly enabled SHIMMER has been developed this end. This study is focused assessing utility use human gait analysis. Temporal parameters derived from tri-axial gyroscope contained are compared against those...

A cross-sectional study on patients with early-stage multiple sclerosis (MS) was conducted to examine the reliability of manual and automatic mobility measures derived from shank-mounted inertial sensors during Timed Up Go (TUG) test, compared control subjects. Furthermore, we aimed determine if disease status [as measured by Multiple Sclerosis Impact Scale (MSIS-20) Expanded Disability Status Score (EDSS)] can be explained measurements obtained using sensors. We also MS could automatically...

An instrumented version of the five-times-sit-to-stand test was performed in homes a group older adults, categorised as fallers or non-fallers. Tri-axial accelerometers were secured to sternum and anterior thigh each participant during assessment. Accelerometer data then used examine timing movement, well root mean squared amplitude, jerk spectral edge frequency mediolateral (ML) acceleration total assessment, sit-stand-sit component postural transition (sit-stand stand-sit). Differences...

This study compares the performance of algorithms for body-worn sensors used with a spatiotemporal gait analysis platform to GAITRite electronic walkway. The mean error in detection time (true error) heel strike and toe-off was 33.9 ± 10.4 ms 3.8 28.7 ms, respectively. ICC temporal parameters step, stride, swing stance found be greater than 0.84, indicating good agreement. Similarly, spatial parameters—stride length velocity—the 0.88. Results show excellent concurrent validity parameters, at...

Assessment of health and physical function using smartphones (mHealth) has enormous potential due to the ubiquity their provide low cost, scalable access care as well frequent, objective measurements, outside clinical environments. Validation algorithms outcome measures used by mHealth apps is paramount importance, poorly validated have been found be harmful patients. Falls are a complex, common costly problem in older adult population. Deficits balance postural control strongly associated...