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Analyzing Sensor-Based Time Series Data to Track Changes in Physical Activity during Inpatient Rehabilitation

Overview of attention for article published in Sensors, September 2017
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
30 patents

Readers on

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113 Mendeley
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Article details
Title
Analyzing Sensor-Based Time Series Data to Track Changes in Physical Activity during Inpatient Rehabilitation
Published in
Sensors, September 2017
DOI 10.3390/s17102219
Pubmed ID
Authors
Abstract

Time series data collected from sensors can be analyzed to monitor changes in physical activity as an individual makes a substantial lifestyle change, such as recovering from an injury or illness. In an inpatient rehabilitation setting, approaches to detect and explain changes in longitudinal physical activity data collected from wearable sensors can provide value as a monitoring, research, and motivating tool. We adapt and expand our Physical Activity Change Detection (PACD) approach to analyze changes in patient activity in such a setting. We use Fitbit Charge Heart Rate devices with two separate populations to continuously record data to evaluate PACD, nine participants in a hospitalized inpatient rehabilitation group and eight in a healthy control group. We apply PACD to minute-by-minute Fitbit data to quantify changes within and between the groups. The inpatient rehabilitation group exhibited greater variability in change throughout inpatient rehabilitation for both step count and heart rate, with the greatest change occurring at the end of the inpatient hospital stay, which exceeded day-to-day changes of the control group. Our additions to PACD support effective change analysis of wearable sensor data collected in an inpatient rehabilitation setting and provide insight to patients, clinicians, and researchers.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 23%
Student > Bachelor 19 17%
Other 8 7%
Student > Master 7 6%
Researcher 7 6%
Other 18 16%
Unknown 28 25%
Readers by discipline
Readers by discipline Count As %
Computer Science 21 19%
Engineering 13 12%
Medicine and Dentistry 13 12%
Sports and Recreations 9 8%
Nursing and Health Professions 7 6%
Other 16 14%
Unknown 34 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2026.
All research outputs
#6,581,471
of 30,457,780 outputs
Outputs from Sensors
#3,490
of 33,903 outputs
Outputs of similar age
#87,328
of 341,207 outputs
Outputs of similar age from Sensors
#45
of 296 outputs
Altmetric has tracked 30,457,780 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 33,903 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,207 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.