{"id":419,"date":"2017-04-14T21:53:51","date_gmt":"2017-04-14T21:53:51","guid":{"rendered":"http:\/\/www.runningunraveled.com\/?p=419"},"modified":"2017-08-11T17:51:04","modified_gmt":"2017-08-12T00:51:04","slug":"unlv-research-study-2016-validation","status":"publish","type":"post","link":"https:\/\/runscribe.com\/unlv-research-study-2016-validation\/","title":{"rendered":"UNLV Research Study — Validation"},"content":{"rendered":"

UNLV\/RunScribe Study \u2014 Summer 2016<\/strong><\/span><\/p>\n

Purpose<\/strong>:
\nThe primary purpose of the project was to compare RunScribe metrics with high speed video and motion capture data measurements over an expanded range of running speeds and fitness levels. A secondary purpose was to investigate possible relationships between RunScribe metrics and running economy.<\/p>\n

Methods:<\/strong>
\n Subjects<\/strong>
\nSubjects: 23 runners. The runners represent a wide range of running performance and include a mixture of UNLV athletes, student recreational runners, and runners from the local triathlete and running community. The time commitment for the runner was approximately 1.5 hours (one day test) to complete the study.<\/p>\n

Instruments<\/strong><\/p>\n

Equipment included an instrumented force treadmill (Bertec FIT), portable metabolic system (Cosmed K4b2), a 10-camera motion capture system (Vicon), and 4 RunScribe sensors. Kinetic and kinematic post processing was conducted using custom laboratory software (Visual3D and Matlab).<\/p>\n

Procedures
\n<\/strong>Subjects were included in the study if they were currently running at least 10 km per week and had run at least a 5 km race in the past 6 months. Upon arrival, subjects completed a short running history survey and university approved informed consent form. Following completion of documentation, subjects were instructed to complete a 5-minute warm-up on the treadmill, serving as a warm-up and treadmill familiarization period. At the end of the 5-min warm-up period, subjects were asked to choose their preferred running speed (PRS) that would be representative of a 30 minute run on the treadmill. This speed was blind to the subject and were the average of 3 trials. Subjects were instrumented with a lower extremity cluster marker set(for the motion capture system), 4-RunScribe sensors and portable metabolic system. Subjects performed 3 speed conditions on the treadmill, with all systems collecting simultaneously. The three treadmill running speed conditions were PRS, plus 2 additional speeds as a function of their LT (Lactate Threshold) pace (90% & 80%). Conditions lasted upwards of 10 minutes per condition. Once the subject achieves steady state running, they ran for 5 more minutes. Motion capture occurred in 15 sec windows. The order of speed conditions was randomized across subjects.<\/p>\n

Deliverables:<\/strong><\/p>\n