Dataset: In-seat activity of wheelchair users measured over multiple epochs Stephen Sprigle1¶* Sharon Sonenblum1¶ Chen Feng2 1 Rehabilitation Engineering and Applied Research Lab, Georgia Institute of Technology, Atlanta, Georgia, United States of America 2 H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America Email contact: rearlab@gatech.edu This work was supported by the Office of the Assistant Secretary of Defense for Health Affairs, through the Spinal Cord Injury Research Program under Award No. W81XWH-17-1-0221. This data was used in the manuscript submitted and accepted for publication in the Public Library of Science journal PONE-D-18-24122R2 Pressure redistributing in-seat movement activities by persons with spinal cord injury over multiple epochs by Stephen Sprigle, Sharon Sonenblum, Chen Feng Full data collection and analysis methods can be found in the journal article, which is open access Data was collected between Jan2015- Apr2017 Data is divided into 3 worksheets in-seat activity: in-seat activity is the main outcome variable of the study demographic variables: self-reported PR: subjects were asked to estimate their frequency of performing pressure reliefs using an ordinal scale; other data is the actual measured frequency of performing pressure reliefs and weight shifts in-seat activity Columns: Subject - Unique identifier for each subject Visitnum - Number of visit to set-up the instrumentation; each visit corresponds to one epoch DayNumber - Day Number within each epoch daysSinceDischarge - Number of days since the subject was discharged TimeInChair- the amount of time that the chair is occupied each day in hours PRFrequency - the mean number of pressure reliefs per occupied hour each day WSFrequency- the mean number of weight shifts per occupied hour each day MaxTimeBetweenEvents - maximum time in minutes between an unweighting event such as a weight shift or out-of–chair transfer FreqActiveSegments - frequency of segments of time (per occupied hour each day) with a drop in load ? 30% and/or sufficient CoP movement to be defined as ‘active’. To be defined as active, the CoP of the body on the wheelchair cushion must meet the threshold of moving >10 cm over a 5 second window. %TimeReducedLoad - percent of occupied hours of the day with total load reduced by at least 30% demographic variables columns: Subject - Unique identifier for each subject Age - The age of subject when he (or she) visited for the first time Sex - 1 = Male; 2 = Female Race - 1 = Other; 3 = Black/African American; 5 = White LevelOfInjury - 1 = C5-C8; 2 = T1-T6; 3 = T7-L1 Occupation - 1 = Paid/Unpaid employment; 2 = Unemployed; 3 = Student Education - 1 = Attended or completed HS; 2 = Attended or completed college IsComplete - 1 = incomplete injury, 2 = complete injury Ambulation - 1 = non-ambulatory; 2 = able to ambulate (at least 2 steps) Sensation - 1 = no; 2 = yes Spasticity - 1 = Regularly throughout the day; 2 = A few times per day; 3 = Not every day, but several times during the week; 4 = Rarely, if ever LivingSituation_alone - 1= does not live alone; 2 = lives alone self-reported PR columns: Subject - Unique identity for each subject Visitnum - Number of visit to set-up the instrumentation; each visit corresponds to one epoch DayNumber - Day Number within each epoch PR_Frequency - Subject estimated pressure reliefs (PR), 1 = Once every 15 minutes; 2 = every 15-30 minutes; 3 = every 30-60 minutes; 4 = < once per hour PRFrequency-actual - Measured pressure reliefs, the mean number of pressure reliefs per occupied hour each day WSFrequency-actual - Measured weight shifts, the mean number of weight shifts per occupied hour each day Methods (full detail of the methods, including references to instrumentation can be found in the PLOS article) Full-time wheelchair users with spinal cord injury were recruited for the study. Subjects were recruited within their first year after completing rehabilitation following injury. Inclusion criteria included being an adult and using a wheelchair as his or her primary means of mobility. Participants were excluded if they reported ambulating within the home or if they had a condition that limited how long they could sit in their wheelchairs. All subjects provided informed consent to participate in the research protocol as approved by the Institutional Review Board of the Georgia Institute of Technology. Additional approval was received from the U.S. Army Medical Research and Materiel Command (USAMRMC), Office of Research Protections (ORP), Human Research Protection Office (HRPO). The Wheelchair In-seat Activity Monitor (WiSAT) consists of a data logger and seat sensor. The seat sensor is comprised of four 50 mm square Interlink FSR force sensors arranged in a trapezoidal pattern and positioned under the cushion. The data logger collected voltages from each sensor at 1 Hz. Each sensor was calibrated using bench tests to determine the voltage-force curves. Both WiSAT components were housed within the wheelchair cushion cover. During the visits to set-up the instrumentation, participants were asked several questions about their equipment, equipment use and aspects of their lives. Included in these questions was a request for the participants to estimate the frequency of performing pressure reliefs as ‘every 15 min’, ‘every 15-30 min’, ‘between 30-60 min’ or less than once per hour. These estimates were compared to actual measurements of in-seat activity. Two comparisons were made, one to the number of pressure reliefs performed and the second to the number of weight shifts.