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Long-Term Objective Physical Activity Measurements using a Wireless Accelerometer Following Minimally Invasive Transforaminal Interbody Fusion Surgery

Overview of attention for article published in Asian Spine Journal, April 2016
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Title
Long-Term Objective Physical Activity Measurements using a Wireless Accelerometer Following Minimally Invasive Transforaminal Interbody Fusion Surgery
Published in
Asian Spine Journal, April 2016
DOI 10.4184/asj.2016.10.2.366
Pubmed ID
Authors

Kevin Phan, Ralph J. Mobbs

Abstract

We report on a case of a patient who underwent minimally invasive transforaminal lumbar interbody fusion (mi-TLIF) with objective physical activity measurements performed preoperatively and postoperatively at up to 12-months using wireless accelerometer technology. In the first postoperative month following surgery, the patient had reduced mobility, taking 2,397 steps over a distance of 1.8 km per day. However, the number of steps taken and distance travelled per day had returned to baseline levels by the second postoperative month. At one-year follow-up, the patient averaged 5,095 steps per day in the month over a distance of 3.8 km; this was a 60% improvement in both steps taken and distance travelled compared to the preoperative status. The use of wireless accelerometers is feasible in obtaining objective physical activity measurements before and after lumbar interbody fusion and may be applicable to other related spinal surgeries as well.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Other 6 15%
Student > Bachelor 5 13%
Researcher 5 13%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Nursing and Health Professions 3 8%
Engineering 3 8%
Computer Science 1 3%
Economics, Econometrics and Finance 1 3%
Other 6 15%
Unknown 13 33%