This pilot study will seek to use emotion recognition technology from video to link patient facial expressions, heart rate and respiratory rate changes, and movement patterns to patient pain scores.
During hospitalization, beginning after orthopedic surgery, study participants will be asked to wear a small motion detector on their wrist. A computer vision system which analyzes both whole-body movement as well as facial expressions will be used at the bedside to compare common signs and symptoms of post op pain to patient pain scores. Up to 30 study participants will be selected. Study participants will be asked to complete a written pain diary during waking hours.This information will be compared to the pain scores found in the patient's medical record and/or the amount and frequency of pain medications they receive.
Study Type
OBSERVATIONAL
Enrollment
6
Study participants will wear a small motion detection device and a regular Webcam will be placed near the wall facing the bed in each patient's hospital room. Study participants will be questioned about their sociodemographic, pain, and health history.
UF Health
Gainesville, Florida, United States
pain assessment (Correlate pain scores with motion measurements obtained through measurement of movement activity and video.)
Correlate pain scores with motion measurements obtained through measurement of movement activity and video.
Time frame: 1 day
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