scholarly journals Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study (Preprint)

2020 ◽  
Author(s):  
Maartje M S Hendriks ◽  
Jaap H van Lotringen ◽  
Marije Vos-van der Hulst ◽  
Noël L W Keijsers
Keyword(s):  
Inpatient Rehabilitation ◽  
Sensor Data ◽  
Sensor Technology ◽  
Movement Activity ◽  
Stroke Patients ◽  
Sleep Monitoring ◽  
Sleep Analysis ◽  
Cord Injury ◽  
Sleep Assessment ◽  
Hospital Rehabilitation

BACKGROUND Since adequate sleep is essential for optimal inpatient rehabilitation, there is an increased interest in sleep assessment. Unobtrusive, contactless, portable bed sensors show great potential for objective sleep analysis. OBJECTIVE The aim of this study was to investigate the feasibility of a bed sensor for continuous sleep monitoring overnight in a clinical rehabilitation center. METHODS Patients with incomplete spinal cord injury (iSCI) or stroke were monitored overnight for a 1-week period during their in-hospital rehabilitation using the Emfit QS bed sensor. Feasibility was examined based on missing measurement nights, coverage percentages, and missing periods of heart rate (HR) and respiratory rate (RR). Furthermore, descriptive data of sleep-related parameters (nocturnal HR, RR, movement activity, and bed exits) were reported. RESULTS In total, 24 participants (12 iSCI, 12 stroke) were measured. Of the 132 nights, 5 (3.8%) missed sensor data due to Wi-Fi (2), slipping away (1), or unknown (2) errors. Coverage percentages of HR and RR were 97% and 93% for iSCI and 99% and 97% for stroke participants. Two-thirds of the missing HR and RR periods had a short duration of ≤120 seconds. Patients with an iSCI had an average nocturnal HR of 72 (SD 13) beats per minute (bpm), RR of 16 (SD 3) cycles per minute (cpm), and movement activity of 239 (SD 116) activity points, and had 86 reported and 84 recorded bed exits. Patients with a stroke had an average nocturnal HR of 61 (SD 8) bpm, RR of 15 (SD 1) cpm, and movement activity of 136 (SD 49) activity points, and 42 reported and 57 recorded bed exits. Patients with an iSCI had significantly higher nocturnal HR (<i>t</i><sub>18</sub>=−2.1, <i>P</i>=.04) and movement activity (<i>t</i><sub>18</sub>=−1.2, <i>P</i>=.02) compared to stroke patients. Furthermore, there was a difference between self-reported and recorded bed exits per night in 26% and 38% of the nights for iSCI and stroke patients, respectively. CONCLUSIONS It is feasible to implement the bed sensor for continuous sleep monitoring in the clinical rehabilitation setting. This study provides a good foundation for further bed sensor development addressing sleep types and sleep disorders to optimize care for rehabilitants.

scholarly journals Bed Sensor Technology for Objective Sleep Monitoring Within the Clinical Rehabilitation Setting: Observational Feasibility Study

10.2196/24339 ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. e24339
Author(s):  
Maartje M S Hendriks ◽  
Jaap H van Lotringen ◽  
Marije Vos-van der Hulst ◽  
Noël L W Keijsers
Keyword(s):  
Inpatient Rehabilitation ◽  
Sensor Data ◽  
Sensor Technology ◽  
Movement Activity ◽  
Stroke Patients ◽  
Sleep Monitoring ◽  
Sleep Analysis ◽  
Cord Injury ◽  
Sleep Assessment ◽  
Hospital Rehabilitation

Background Since adequate sleep is essential for optimal inpatient rehabilitation, there is an increased interest in sleep assessment. Unobtrusive, contactless, portable bed sensors show great potential for objective sleep analysis. Objective The aim of this study was to investigate the feasibility of a bed sensor for continuous sleep monitoring overnight in a clinical rehabilitation center. Methods Patients with incomplete spinal cord injury (iSCI) or stroke were monitored overnight for a 1-week period during their in-hospital rehabilitation using the Emfit QS bed sensor. Feasibility was examined based on missing measurement nights, coverage percentages, and missing periods of heart rate (HR) and respiratory rate (RR). Furthermore, descriptive data of sleep-related parameters (nocturnal HR, RR, movement activity, and bed exits) were reported. Results In total, 24 participants (12 iSCI, 12 stroke) were measured. Of the 132 nights, 5 (3.8%) missed sensor data due to Wi-Fi (2), slipping away (1), or unknown (2) errors. Coverage percentages of HR and RR were 97% and 93% for iSCI and 99% and 97% for stroke participants. Two-thirds of the missing HR and RR periods had a short duration of ≤120 seconds. Patients with an iSCI had an average nocturnal HR of 72 (SD 13) beats per minute (bpm), RR of 16 (SD 3) cycles per minute (cpm), and movement activity of 239 (SD 116) activity points, and had 86 reported and 84 recorded bed exits. Patients with a stroke had an average nocturnal HR of 61 (SD 8) bpm, RR of 15 (SD 1) cpm, and movement activity of 136 (SD 49) activity points, and 42 reported and 57 recorded bed exits. Patients with an iSCI had significantly higher nocturnal HR (t18=−2.1, P=.04) and movement activity (t18=−1.2, P=.02) compared to stroke patients. Furthermore, there was a difference between self-reported and recorded bed exits per night in 26% and 38% of the nights for iSCI and stroke patients, respectively. Conclusions It is feasible to implement the bed sensor for continuous sleep monitoring in the clinical rehabilitation setting. This study provides a good foundation for further bed sensor development addressing sleep types and sleep disorders to optimize care for rehabilitants.

Poor Functional Status of Stroke Patients after Hospital Discharge: Scope for Intervention?

1992 ◽  
Vol 55 (10) ◽  
pp. 383-385 ◽  
Author(s):  
Susan Corr ◽  
Antony Bayer
Keyword(s):  
Social Services ◽  
Stroke Unit ◽  
Inpatient Rehabilitation ◽  
Stroke Patients ◽  
Outdoor Activities ◽  
Health And Social Services ◽  
Follow Up Study ◽  
Poor Functional Status ◽  
Hospital Rehabilitation

In a follow-up study of stroke patients discharged from hospital after inpatient rehabilitation in a stroke unit, day-to-day functioning was assessed using the Barthel Index and the Frenchay Activities Index. Levels of dependency recorded at discharge tended to persist or worsen over the subsequent 7 to 12 months and very few patients returned to any domestic, leisure or outdoor activities once they were back in the community. Those in residential care were especially disadvantaged. Contact with health and social services was minimal. The findings suggest that there is considerable need for continuing support and intervention for stroke patients after in-hospital rehabilitation. The occupational therapist would seem potentially well-suited to this role.

scholarly journals Machine Learning and Sensor Fusion for Estimating Continuous Energy Expenditure

AI Magazine ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 55 ◽  
Author(s):  
Nisarg Vyas ◽  
Jonathan Farringdon ◽  
David Andre ◽  
John Ivo Stivoric
Keyword(s):  
Machine Learning ◽  
Energy Expenditure ◽  
Sensor Data ◽  
Machine Learning Techniques ◽  
Sensor Technology ◽  
Health Goals ◽  
System A ◽  
Multi Sensor Data Fusion ◽  
Learning Techniques ◽  
Insight Into

In this article we provide insight into the BodyMedia FIT armband system — a wearable multi-sensor technology that continuously monitors physiological events related to energy expenditure for weight management using machine learning and data modeling methods. Since becoming commercially available in 2001, more than half a million users have used the system to track their physiological parameters and to achieve their individual health goals including weight-loss. We describe several challenges that arise in applying machine learning techniques to the health care domain and present various solutions utilized in the armband system. We demonstrate how machine learning and multi-sensor data fusion techniques are critical to the system’s success.

Validation of Wearable Sensor Technology to Measure Social Proximity of Young Children With Autism Spectrum Disorders

2021 ◽  
pp. 108835762110282
Author(s):  
Sarah N. Douglas ◽  
Yan Shi ◽  
Saptarshi Das ◽  
Subir Biswas
Keyword(s):  
Autism Spectrum Disorders ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Sensor System ◽  
Sensor Data ◽  
Sensor Technology ◽  
Future Research ◽  
Social Proximity ◽  
Children With Asd ◽  
Spectrum Disorders

Children with autism spectrum disorders (ASD) struggle to develop appropriate social skills, which can lead to later social rejection, isolation, and mental health concerns. Educators play an important role in supporting and monitoring social skill development for children with ASD, but the tools used by educators are often tedious, lack suitable sensitivity, provide limited information to plan interventions, and are time-consuming. Therefore, we conducted a study to evaluate the use of a sensor system to measure social proximity between three children with ASD and their peers in an inclusive preschool setting. We compared video-coded data with sensor data using point-by-point agreement to measure the accuracy of the sensor system. Results suggest that the sensor system can adequately measure social proximity between children with ASD and their peers. The next steps for sensor system validation are discussed along with clinical and educational implications, limitations, and future research directions.

Spinal Cord Tissue Bridges Validation Study: Predictive Relationships With Sensory Scores Following Cervical Spinal Cord Injury

2021 ◽  
Author(s):  
Andrew C. Smith ◽  
Denise R. O’Dell ◽  
Wesley A. Thornton ◽  
David Dungan ◽  
Eli Robinson ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
External Validation ◽  
Inpatient Rehabilitation ◽  
Spinal Cord Tissue ◽  
Light Touch ◽  
Post Injury ◽  
Data Set ◽  
Cord Injury ◽  
Predictive Relationships

Background: Using magnetic resonance imaging (MRI), widths of ventral tissue bridges demonstrated significant predictive relationships with future pinprick sensory scores, and widths of dorsal tissue bridges demonstrated significant predictive relationships with future light touch sensory scores, following spinal cord injury (SCI). These studies involved smaller participant numbers, and external validation of their findings is warranted. Objectives: The purpose of this study was to validate these previous findings using a larger independent data set. Methods: Widths of ventral and dorsal tissue bridges were quantified using MRI in persons post cervical level SCI (average 3.7 weeks post injury), and pinprick and light touch sensory scores were acquired at discharge from inpatient rehabilitation (average 14.3 weeks post injury). Pearson product-moments were calculated and linear regression models were created from these data. Results: Wider ventral tissue bridges were significantly correlated with pinprick scores (r = 0.31, p &lt; 0.001, N = 136) and wider dorsal tissue bridges were significantly correlated with light touch scores (r = 0.31, p &lt; 0.001, N = 136) at discharge from inpatient rehabilitation. Conclusion: This retrospective study’s results provide external validation of previous findings, using a larger sample size. Following SCI, ventral tissue bridges hold significant predictive relationships with future pinprick sensory scores and dorsal tissue bridges hold significant predictive relationships with future light touch sensory scores.

Abstract T P243: Mortality Among Transferred Hemorrhagic Stroke Patients in United States: An Analysis From National Database

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Malik M Adil ◽  
Shyam Prabhakaran
Keyword(s):  
Hospital Mortality ◽  
Hemorrhagic Stroke ◽  
Inpatient Rehabilitation ◽  
National Database ◽  
Stroke Patients ◽  
Discharge Outcomes ◽  
Hospital Transfer ◽  
Transferred Patients ◽  
Surgical Treatments ◽  
Acute Rehabilitation

Background: Hemorrhagic stroke patients may require inter-facility transfer for higher level of care. Limited data are available on outcome of transferred patients. Objective: To determine in-hospital mortality and discharge outcomes among transferred hemorrhagic stroke patients. Methods: Data from all patients admitted to US hospitals between 2008 and 2011 with a primary discharge diagnosis of hemorrhagic stroke [intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH)] were identified by ICD-9 codes (ICH: 431; SAH: 430). In separate models for ICH and SAH using logistic regression, the odds ratio (OR) and 95% confidence intervals (CI) for in-hospital mortality and good outcome (discharge home or inpatient rehabilitation) among transfer vs. non-transfers were estimated, after adjusting for potential confounders. Results: Of 290,395 patients with ICH, 48,749 (16.8%) arrived by inter-hospital transfer; for SAH, 25,726 (33%) of 78,156 were transfers. In-hospital mortality was lower among ICH transfers (21.2% vs. 23.2%; p=0.004). In adjusted analyses, in-hospital mortality was not significantly different (p=0.20) while discharge to home or inpatient rehabilitation was more likely among transferred ICH patients (OR 1.1, 95% CI 1.0-1.2, p=0.05). In-hospital mortality was lower for SAH transfers (17.4% vs. 22.9%, p<0.001) and remained significant in adjusted analyses (OR 0.7, 95% CI 0.6-0.8). Transferred SAH patients were also more likely to be discharged to home or inpatient rehabilitation (OR 1.2, 95% CI 1.1-1.4, p<0.001). Coiling and clipping procedures were significantly more common in SAH transferred patients while cerebral angiography, mechanical ventilation and gastrostomy were significantly higher in both ICH and SAH transfer patients. Conclusion: While ICH patients arriving by transfer have similar mortality as non-transfers, they are more likely to be discharged to home or acute rehabilitation. For SAH, transfer confers both mortality and outcome benefit. Definitive surgical treatments and aggressive medical supportive care at receiving hospitals may mediate the benefits of inter-hospital transfer in hemorrhagic stroke patients.

Older Adult Stroke Patients and Their Spousal Caregivers

1994 ◽  
Vol 75 (10) ◽  
pp. 608-615 ◽  
Author(s):  
Janice K. Purk ◽  
Rhoda A. Richardson
Keyword(s):  
Older Adult ◽  
Emotional Functioning ◽  
Inpatient Rehabilitation ◽  
Functional Independence ◽  
Spousal Caregivers ◽  
Stroke Patients

Using a sample of 44 couples, in each of which one member had suffered a stroke requiring an inpatient rehabilitation stay, the authors examined the morale of stroke patients older than 60 and their spousal caregivers. One hypothesis that guided this research was that the morale levels of older adult stroke patients would correlate with those of their spousal caregivers and with the patient's physical and emotional functioning. Gender and length of time since the stroke were hypothesized to have an effect on morale. Results indicated that morale of caregivers and care receivers were positively correlated. Moreover, functional independence predicted patient and spouse morale levels. Impressions of caregiving and morale of caregivers were correlated. These findings suggest a need to utilize a dyadic approach in research and intervention dealing with stroke patients whose spouses are providing care.

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