title: Feasibility of Using Low-Cost Motion Capture for Automated Screening of Shoulder Motion Limitation after Breast Cancer Surgery.
abstract: OBJECTIVE
  To determine if a low-cost, automated motion analysis system using Microsoft Kinect could accurately measure shoulder motion and detect motion impairments in women following breast cancer surgery.
  
  
  METHODS
  Descriptive study of motion measured via 2 methods.
  
  
  METHODS
  Academic cancer center oncology clinic.
  
  
  METHODS
  20 women (mean age = 60 yrs) were assessed for active and passive shoulder motions during a routine post-operative clinic visit (mean = 18 days after surgery) following mastectomy (n = 4) or lumpectomy (n = 16) for breast cancer.
  
  
  METHODS
  Participants performed 3 repetitions of active and passive shoulder motions on the side of the breast surgery. Arm motion was recorded using motion capture by Kinect for Windows sensor and on video. Goniometric values were determined from video recordings, while motion capture data were transformed to joint angles using 2 methods (body angle and projection angle).
  
  
  METHODS
  Correlation of motion capture with goniometry and detection of motion limitation.
  
  
  RESULTS
  Active shoulder motion measured with low-cost motion capture agreed well with goniometry (r = 0.70-0.80), while passive shoulder motion measurements did not correlate well. Using motion capture, it was possible to reliably identify participants whose range of shoulder motion was reduced by 40% or more.
  
  
  CONCLUSIONS
  Low-cost, automated motion analysis may be acceptable to screen for moderate to severe motion impairments in active shoulder motion. Automatic detection of motion limitation may allow quick screening to be performed in an oncologist's office and trigger timely referrals for rehabilitation.
authors.affiliation: Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: Valeriya
authors.initials: V
authors.lastname: Gritsenko
authors.affiliation: Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: Eric
authors.initials: E
authors.lastname: Dailey
authors.affiliation: Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Kyle
authors.affiliation: Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: Matt
authors.initials: M
authors.lastname: Taylor
authors.affiliation: Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: Sean
authors.initials: S
authors.lastname: Whittacre
authors.affiliation: Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: Anne K
authors.initials: AK
authors.lastname: Swisher
mesh_terms: D000368:Aged; D001134:Arm Injuries / Q000175:diagnosis* / Q000209:etiology*; D001943:Breast Neoplasms / Q000150:complications* / Q000175:diagnosis / Q000601:surgery; D005260:Female; D006801:Humans; D008408:Mastectomy / Q000009:adverse effects; D015412:Mastectomy, Segmental / Q000009:adverse effects; D008875:Middle Aged; D011183:Postoperative Complications; D016059:Range of Motion, Articular; D012782:Shoulder / Q000503:physiopathology*