Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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The Estimation of Craniovertebral Angle using Wearable Sensor for Monitoring of Neck Posture in Real-Time

실시간 목 자세 모니터링을 위한 웨어러블 센서를 이용한 두개척추각 추정

  • Lee, Jaehyun (Interdisciplinary Program of Medical & Biological Engineering, University of Ulsan) ;
  • Chee, Youngjoon (Interdisciplinary Program of Medical & Biological Engineering, University of Ulsan)
  • 이재현 (울산대학교 대학원 전기전자컴퓨터공학과 의용생체공학전공) ;
  • 지영준 (울산대학교 대학원 전기전자컴퓨터공학과 의용생체공학전공)
  • Received : 2018.06.07
  • Accepted : 2018.12.18
  • Published : 2018.12.31
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Abstract

Nowdays, many people suffer from the neck pain due to forward head posture(FHP) and text neck(TN). To assess the severity of the FHP and TN the craniovertebral angle(CVA) is used in clinincs. However, it is difficult to monitor the neck posture using the CVA in daily life. We propose a new method using the cervical flexion angle(CFA) obtained from a wearable sensor to monitor neck posture in daily life. 15 participants were requested to pose FHP and TN. The CFA from the wearable sensor was compared with the CVA observed from a 3D motion camera system to analyze their correlation. The determination coefficients between CFA and CVA were 0.80 in TN and 0.57 in FHP, and 0.69 in TN and FHP. From the monitoring the neck posture while using laptop computer for 20 minutes, this wearable sensor can estimate the CVA with the mean squared error of 2.1 degree.

Keywords

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그림 3. CFA와 CVA 회귀분석 결과, (a) 텍스트넥 자세에서의 결과, (b) 거북목 자세에서의 결과, (c) 모든 자세에서의 결과. Fig. 3. Results of regression analysis with CVA and CFA (a) The results in text neck postures (b) The results in forward head postures, (c) Results in text neck postures and forward head postures.

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그림 4. dCFA와 dCVA 회귀분석 결과, (a) 텍스트넥 자세에서의 결과, (b) 거북목 자세에서의 결과, (c) 모든 자세에서의 결과. Fig. 4. Results of regression analysis with dCVA and dCFA (a) The results in text neck postures (b) The results in forward head postures, (c) Results in text neck postures and forward head postures.

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그림 5. 텍스트넥과 거북목 자세의 단계별 각도값 차이, (a) 각 단계별 텍스트넥에서의 dCVA-dCFA, (b) 각 단계별 거북목 자세에서의 dCVA–dCFA. Fig. 5. Analyzing difference of coefficient of determination on text neck postures and forward head postures ,(a) dCVA-dCFA in text neck postures on each step, (b)dCVA-dCFA in forward head postures on each step.

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그림 6. 20분간 랩탑컴퓨터 사용환경에서의 (a) 시간에 따른 추정 CVA과 기준 CVA 비교와 오차, (b) 추정 CVA와 기준 CVA의 Bland-Altman 분석. Fig. 6. (a) Plotting estimated CVA and reference CVA, (b) Bland-Altman analysis on estimated CVA with reference CVA on service environment of laptop compute for 20 minutes.

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그림 1. (a) X-ray를 이용한 두개척추각 측정, (b)목 자세 측정 웨어러블 디바이스(ALEX, NAMU Inc., Korea) 착용사진, (c) 3축 가속도 센서로 경추굴절각을 측정하는 원리. Fig. 1. (a) Measuring Craniovertebral angle using X-ray image, (b) The photo for putting on wearable device which can measure neck postures, (c) The measurement of cervical flexion angle using 3-axis accelerometer.

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그림 2. (a) 3D 모션 카메라와 마커를 사용한 두개척추각 측정, (b) 1단계(바른 자세)부터 5단계(목 최대 기울임 자세)까지의 목 자세 변화 사례. Fig. 2. (a) The measurement of Craniovertebral angle using 3D motion camera system, (b) neck posture changes in 5 steps from upright to maximal poor posture.

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