Design the Home Care Platform for the Monitoring of A Hemodialysis Arteriovenous Graft by Intelligent Physiological Signal
Recruitment status was Recruiting
Most patients with end-stage renal disease require hemodialysis. An arteriovenous fistula (AVF) or a prosthetic arteriovenous graft (AVG) is the preferred accesses for this. After its surgical creation, the fistular vein immediately faces a tremendous blood flow and the venous lumen is gradually dilated and the wall thickened, producing an access that can be routinely needled and deliver sufficient blood flow for dialysis. However, many hemodialysis patients will experience access stenosis, dysfunction, and even thrombosis, which are the most common complications of a hemodialysis access.
Most physicians, in-charge nurses of the hemodialysis unit, patient, and/or the family use traditional stethoscope as a convenient method to evaluate the patency and function of a hemodialysis access before, during, and after each session of dialysis. The acoustic signal of an access is always affected by environmental noises, non-specific in nature, and the sensitivity to detect stenosis is very low.
With the development and use of electronic stethoscope, the proprietary ambient noise acoustically cancels out an average of 75% of distracting room noise, greatly enhancing overall utility. However, the output acoustic signals are still apprehended by the ear, which is the main source of bias and errors of detection.
Our study purpose is to apply the signal processing technology to transfer the acoustic signals into simple visual signals that provide an easy way to read. It can be used by a professional medical staff, a non-professional person responsible for taking care, or even the patient himself, disability or not, as an early screening detector of stenosis or dysfunction of a hemodialysis access.
|Study Design:||Observational Model: Case-Only
Time Perspective: Prospective
|Contact: Chih-Yang Chan, MD, PhDemail@example.com|
|Far Eastern Memorial Hospital||Recruiting|
|Contact: Chih-Yang Chan, MD, PhD 886-8966-7000 firstname.lastname@example.org|