Detection of venous needle dislodgement during haemodialysis using fractional order shape index ratio and fuzzy colour relation analysis

Chia-Hung Lin; Wei-Ling Chen; Chung-Dann Kan; Ming-Jui Wu; Yi-Chen Mai

doi:10.1049/htl.2015.0022

Detection of venous needle dislodgement during haemodialysis using fractional order shape index ratio and fuzzy colour relation analysis

Healthc Technol Lett. 2015 Nov 19;2(6):149-55. doi: 10.1049/htl.2015.0022. eCollection 2015 Dec.

Authors

Chia-Hung Lin¹, Wei-Ling Chen², Chung-Dann Kan³, Ming-Jui Wu⁴, Yi-Chen Mai⁵

Affiliations

¹ Department of Electrical Engineering , Kao-Yuan University , Kaohsiung City 82151 , Taiwan.
² Department of Engineering and Maintenance , Kaohsiung Veterans General Hospital , Kaohsiung City 81362 , Taiwan.
³ Department of Surgery , National Cheng Kung University Hospital, College of Medicine , National Cheng Kung University , Tainan City 70101 , Taiwan.
⁴ Department of Internal Medicine , Kaohsiung Veterans General Hospital , Tainan Branch, Tainan City 71051 , Taiwan.
⁵ Department of Aeronautics and Astronautics , National Cheng Kung University , Tainan City 70101 , Taiwan.

Abstract

Venous needle dislodgement (VND) is a life-threatening complication during haemodialysis (HD) treatment. When VND occurs, it only takes a few minutes for blood loss in an adult patient. According to the ANNA (American Nephrology Nurses' Association) VND survey reports, VND is a concerning issue for the nephrology nurses/staff and patients. To ensure HD care and an effective treatment environment, this Letter proposes a combination of fractional order shape index ratio (SIR) and fuzzy colour relation analysis (CRA) to detect VND. If the venous needle drops out, clinical examinations show that both heart pulses and pressure wave variations have a low correlation at the venous anatomic site. Therefore, fractional order SIR is used to quantify the differences in transverse vibration pressures (TVPs) between the normal condition and meter reading. Linear regression shows that the fractional order SIR has a high correlation with the TVP variation. Fuzzy CRA is designed in a simple and visual message manner to identify the risk levels. A worst-case study demonstrated that the proposed model can be used for VND detection in clinical applications.

Keywords: TVP variation; VND detection; blood loss; blood pressure measurement; cardiology; colour relation analysis; fractional order SIR; fuzzy CRA; haemodialysis care; haemodialysis treatment; heart pressure wave variation; heart pulse variation; linear regression; patient monitoring; patient treatment; regression analysis; risk analysis; risk level; shape index ratio; transverse vibration pressure; venous anatomic site; venous needle dislodgement.