Franceschini Stefano, Autorino Maria Maddalena, Ambrosanio Michele, Pascazio Vito, Baselice Fabio
Department of Engineering, University of Napoli Parthenope, Centro Direzionale, 80143 Napoli, Italy.
Department of Economics, Law, Cybersecurity, and Sports Sciences, University of Napoli Parthenope, Via della Repubblica 32, 80035 Napoli, Italy.
Sensors (Basel). 2024 Dec 28;25(1):123. doi: 10.3390/s25010123.
In the context of neurodegenerative diseases, finger tapping is a gold-standard test used by clinicians to evaluate the severity of the condition. The finger tapping test involves repetitive tapping between the index finger and thumb. Subjects affected by neurodegenerative diseases, such as Parkinson's disease, often exhibit symptoms like bradykinesia, rigidity, and tremor. As a result, when these individuals perform the finger tapping task, instability in both the tap rate and finger displacement can be observed. Currently, clinicians assess bradykinesia by visually observing the patient's finger tapping movements and qualitatively rating their severity. In this work, we present a novel ultrasound contactless system that provides quantitative measurements of finger tapping, including tap rate and finger displacements. The system functions as an ultrasound sonar capable of measuring the Doppler spectrum of waves reflected by the hand. From this spectrum, various characteristics of the hand movement can be extracted through appropriate processing techniques. Specifically, by performing time-frequency analysis and applying specialized data processing, tapping rates and finger displacements can be estimated. The system has been tested in real-world scenarios involving volunteer finger tapping sessions, demonstrating its potential for accurately measuring both tap rates and displacements.
在神经退行性疾病的背景下,手指敲击是临床医生用于评估病情严重程度的金标准测试。手指敲击测试包括食指和拇指之间的重复敲击。受神经退行性疾病影响的受试者,如帕金森病患者,通常会表现出运动迟缓、僵硬和震颤等症状。因此,当这些个体执行手指敲击任务时,可以观察到敲击速率和手指位移的不稳定性。目前,临床医生通过目视观察患者的手指敲击动作并对其严重程度进行定性评级来评估运动迟缓。在这项工作中,我们提出了一种新型的超声非接触系统,该系统可以对手指敲击进行定量测量,包括敲击速率和手指位移。该系统的功能类似于超声声纳,能够测量手部反射波的多普勒频谱。通过适当的处理技术,可以从该频谱中提取手部运动的各种特征。具体而言,通过进行时频分析并应用专门的数据处理,可以估计敲击速率和手指位移。该系统已经在涉及志愿者手指敲击试验的实际场景中进行了测试,证明了其准确测量敲击速率和位移的潜力。