Opening velocity, a novel parameter, for finger tapping test in patients with Parkinson's disease

Objective and quantitative assessment of motor function in Parkinson’s disease—from the perspective of practical applications

“…These two systems are not quite comparable although the basic principles are different: one is designed based on image analysis technique; the other is based on wearable sensor technology. The accelerometerbased system showed discrimination ability between PD patients and the control group (42). The computer vision system made a novel contribution by testing the correlation between quantitative parameters and clinical ratings: one of the measures referred to as "cross-correlation between the normalized peaks" showed a strong correlation with clinical ratings; and by using a support vector machine classifier and 10-fold validation, the computer vision system could categorize the patients between UPDRS-FT levels with an accuracy of 88% (41).…”

“…There were two systems that could be used to evaluate the RFT objectively-a computer vision method using a webcam (41) and a system consisting of an accelerometer and touch sensors (42). These two systems are not quite comparable although the basic principles are different: one is designed based on image analysis technique; the other is based on wearable sensor technology.…”

Neurodegenerative Disease Monitoring Using a Portable Wireless Sensor Device

“…The use of automatic timing is intended to increase the accuracy of testing (McDermid, 2000). Other devices used, which can be found in the literature, include precision image-based motion analyzer and passive marker-based movement analyzer (Jobbágy et al, 2005); the Halstead-Reitan finger tapping test (HRFTT), developed and manufactured by Reitan Neuropsychological Laboratory, which uses an electronic counter and a tapping key; finger tapping devices containing pressure sensors (Soichiro et al, 2004); systems consisting of accelerometers and touch sensor (Yokoe et a., 2009) (Okuno et al, 2007). In the case of the hand-grip strength measurement, the innovations carried out in recent years have been even poorer.…”

A CPG synergy model for evaluation of human finger tapping movements

“…Quantitative evaluation of voluntary/involuntary movements in PD patients has already been extensively researched through approaches such as the investigation of tremors by Salarian [1] and Gil et al [2] and the examination of finger tapping movements by Konczak et al [3], Shima et al [4] and Yokoe et al [5]. These studies sought to quantify the symptoms of PD patients by extracting the features of movements measured using various sensors, and investigated the motor function of patients and healthy subjects from the features of such movements.…”