Hanuka Adi, Itzhak Maor, Berger Alon, Orbach Mony, Shoshan Eli, Schächter Levi, Briscoe Daniel
Department of Electrical Engineering, Technion-IIT, Haifa, Israel.
Faculty of Medicine, Technion-IIT, Haifa, Israel.
Graefes Arch Clin Exp Ophthalmol. 2017 Sep;255(9):1811-1817. doi: 10.1007/s00417-017-3712-z. Epub 2017 Jun 16.
Eyelid motion analysis can provide important information about ophthalmic, neurologic, and systemic diseases. Routine assessment of eyelid function is currently based mainly on clinical examination estimating Levator Function and static palpebral fissure measurements. Most clinical tools developed to date are cumbersome expensive and difficult to operate. Currently there is no widely available, affordable device providing user friendly precision based evaluation of eyelid kinematics. Our goal is to develop a novel device for evaluation of eyelid kinematics providing rapid defined diagnosis of diseases involving eyelid movement.
A real-time prototype eyelid motion monitoring system was designed based on magnetic field sensors detecting movement of a tiny magnet located on the upper eyelid. Motion is recorded and analyzed using specially developed hardware and software, respectively, enabling both real-time and off-line data presentation. The Eyelid Motion Monitor correlates between blinking characteristics of eyelid movement and the output voltages produced by the system. Blink detection is defined as peak in voltage, caused by eyelid closure or opening. The device was tested on 20 healthy volunteers with normal clinical blinking patterns.
The Eyelid Motion Monitor succeeded in detecting full blink motion. The system easily extracts different parameters of eyelid kinetics.
An inexpensive prototype novel device was developed for monitoring and analyzing eyelid motion characteristics, including the inter-blink interval, eye closing/opening duration and entire blink duration. The device should allow early objective non- invasive diagnosis and follow-up of disease progression. It could be of great potential value in many ophthalmic, neurologic, and systemic diseases.
眼睑运动分析可为眼科、神经科和全身性疾病提供重要信息。目前,眼睑功能的常规评估主要基于临床检查来估计提上睑肌功能和测量静态睑裂。迄今为止开发的大多数临床工具都笨重、昂贵且操作困难。目前尚无广泛可用、价格合理且用户友好的基于精确性评估眼睑运动学的设备。我们的目标是开发一种新型设备,用于评估眼睑运动学,以便对涉及眼睑运动的疾病进行快速明确诊断。
基于磁场传感器设计了一种实时原型眼睑运动监测系统,该传感器可检测位于上眼睑的微小磁体的运动。分别使用专门开发的硬件和软件记录并分析运动,实现实时和离线数据呈现。眼睑运动监测器将眼睑运动的眨眼特征与系统产生的输出电压相关联。眨眼检测定义为眼睑闭合或张开引起的电压峰值。该设备在20名具有正常临床眨眼模式的健康志愿者身上进行了测试。
眼睑运动监测器成功检测到完整的眨眼运动。该系统能够轻松提取眼睑动力学的不同参数。
开发了一种廉价的原型新型设备,用于监测和分析眼睑运动特征,包括眨眼间隔、闭眼/睁眼持续时间和整个眨眼持续时间。该设备应能实现早期客观的非侵入性诊断以及疾病进展的随访。它在许多眼科、神经科和全身性疾病中可能具有巨大的潜在价值。