Randomized trial of intelligent sensor system for early illness alerts in senior housing

Published On: 10-01-2017

Objectives: Measure the clinical effectiveness and cost-effectiveness of using sensor data from an environmentally embedded sensor system for early illness recognition. This sensor system has demonstrated in pilot studies to detect changes in function and in chronic diseases or...

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Exploring the feasibility and acceptability of sensor monitoring of gait and falls in the homes of persons with Multiple Sclerosis

Published On: 09-01-2016

Gait parameters variability and falls are problems for persons with MS and have not been adequately captured in the home. Our goal was to explore the feasibility and acceptability of monitoring of gait and falls in the homes of...

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Metrics from in-home sensor data to assess the effect of clinical therapies

Published On: 09-01-2017

A set of metrics and a methodology were developed to characterize a subject’s ability to ambulate. These metrics use the movement of the subject’s centroid as detected by an inexpensive depth camera system. The centroid is chosen as it...

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Continuous in-home symptom and mobility measures for individuals with Multiple Sclerosis: A case presentation

Published On: 08-01-2017

Gait impairment represents one of the most common and disabling symptoms of multiple sclerosis (MS). To identify which temporal or spatial parameters of gait could be used as outcome measures in interventional studies of individuals with MS with different...

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An automatic in-home fall detection system using Doppler radar signatures

Published On: 07-21-2016

One in three elders over the age of 65 falls each year in the United States. This paper describes a non-invasive fall detection system based on a Doppler radar sensor. The developed system has been tested in two environments:...

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Using embedded sensors in independent living to predict gait changes and falls

Published On: 07-26-2016

This study explored using Big Data, totaling 66 terabytes over 10 years, captured from sensor systems installed in independent living apartments to predict falls from pre-fall changes in residents’ Kinect-recorded gait parameters. Over a period of 3 to 48...

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Monitoring the relative blood pressure using a hydraulic bed sensor system

Published On: 07-13-2018

We propose a non-wearable hydraulic bed sensor system that is placed underneath the mattress to estimate the relative systolic blood pressure of a subject, which only differs from the actual blood pressure by a scaling and an offset factor....

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Assessment of fall characteristics from depth sensor videos

Published On: 07-01-2017

Falls are a major source of death and disability in older adults; little data, however, are available about the etiology of falls in community-dwelling older adults. Sensor systems installed in independent and assisted living residences of 105 older adults...

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Older adults’ perceptions and preferences of a fall risk assessment system: Exploring stages of acceptance model

Published On: 07-01-2017

Aging in place is a preferred and cost-effective living option for older adults. Research indicates that technology can assist with this goal. Information on consumer preferences will help in technology development to assist older adults to age in place....

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Exploratory analysis of older adults’ sedentary behavior in the primary living area using Kinect depth data

Published On: 02-22-2017

We describe case studies of clinically significant changes in sedentary behavior of older adults captured with a novel computer vision algorithm for depth data. An unobtrusive Microsoft Kinect sensor continuously recorded older adults’ activity in the primary living spaces...

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