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Ana María Maitín, Alvaro José García-Tejedor and Juan Pablo Romero Muñoz
Background: Diagnosis of Parkinson?s disease (PD) is mainly based on motor symptoms and can be supported by imaging techniques such as the single photon emission computed tomography (SPECT) or M-iodobenzyl-guanidine cardiac scintiscan (MIBG), which are e...
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Farika Putri,Wahyu Caesarendra,Elta Diah Pamanasari,Mochammad Ariyanto,Joga D Setiawan
Pág. 87 - 98
Parkinson disease (PD) detection using pattern recognition method has been presented in literatures. This paper present multi-class PD detection utilizing voice and electromyography (EMG) features of Indonesian subjects. The multi-class classification co...
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Mohamed Shaban
Parkinson?s disease (PD) is a serious movement disorder that may eventually progress to mild cognitive dysfunction (MCI) and dementia. According to the Parkinson?s foundation, one million Americans were diagnosed with PD and almost 10 million individuals...
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Artur Chudzik and Andrzej W. Przybyszewski
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin...
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Marianna Capecci, Nicolò Baldini, Francesca Campignoli, Lorenzo Pasquale Lombardo, Elisa Andrenelli and Maria Gabriella Ceravolo
The COVID-19 pandemic has been a stress test for the population, especially for people with chronic disorders such as Parkinson?s disease (PD). In addition to public health restrictions that contrast with PD management recommendations, there were deep ch...
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Ming Chen, Tao Ren, Pihai Sun, Jianfei Wu, Jinfeng Zhang and Aite Zhao
In the past few years, the assessment of Parkinson?s disease (PD) has mainly been based on the clinician?s examination, the patient?s medical history, and self-report. Parkinson?s disease may be misdiagnosed due to a lack of clinical experience. Moreover...
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Fabiana Novellino, Maria Salsone, Roberta Riccelli, Carmelina Chiriaco, Giuseppe Argirò, Andrea Quattrone, José L. M. Madrigal, Luigi Ferini Strambi and Aldo Quattrone
This study aimed to investigate the structural covariance between the striatum and large-scale brain regions in patients with vascular parkinsonism (VP) compared to Parkinson?s disease (PD) and control subjects, and then explore the relationship between ...
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Donato Impedovo, Giuseppe Pirlo and Gennaro Vessio
Machine learning techniques are tailored to build intelligent systems to support clinicians at the point of care. In particular, they can complement standard clinical evaluations for the assessment of early signs and manifestations of Parkinson?s disease...
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Sai Bharadwaj Appakaya, Ruchira Pratihar and Ravi Sankar
Parkinson?s disease (PD) classification through speech has been an advancing field of research because of its ease of acquisition and processing. The minimal infrastructure requirements of the system have also made it suitable for telemonitoring applicat...
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Kalyan Chatterjee, Ramagiri Praveen Kumar, Anjan Bandyopadhyay, Sujata Swain, Saurav Mallik, Aimin Li and Kanad Ray
Parkinson?s disease (PD) is a neurological disorder affecting the nerve cells. PD gives rise to various neurological conditions, including gradual reduction in movement speed, tremors, limb stiffness, and alterations in walking patterns. Identifying Park...
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Mahdieh Kazemimoghadam and Nicholas P. Fey
Fundamental knowledge in activity recognition of individuals with motor disorders such as Parkinson?s disease (PD) has been primarily limited to detection of steady-state/static tasks (e.g., sitting, standing, walking). To date, identification of non-ste...
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Dimosthenis Pavlou, Ion Beratis, Stella Fragkiadaki, Dionysia Kontaxopoulou, ... Sokratis Papageorgiou
Pág. 4338 - 4354
The objective of this study is to examine and present the most critical parameters that can assess and predict the driving performance of individuals having some kind of cerebral disease. The cerebral diseases that have been studied are: Mild Cognitive I...
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Dimosthenis Pavlou, Ion Beratis, Eleonora Papadimitriou, Constantinos Antoniou, ... Sokratis Papageorgiou
Pág. 4393 - 4402
Driving requires possessing cognitive, motor and visual skills and drivers need to have adequate motor strength, coordination and speed. More importantly, cognitive skills including concentration, attention, adequate visual perceptual skills, insight and...
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Yingcong Huang, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee and Mukesh Prasad
Parkinson?s disease (PD) is a chronic brain disorder affecting millions worldwide. It occurs when brain cells that produce dopamine, a chemical controlling movement, die or become damaged. This leads to PD, which causes problems with movement, balance, a...
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Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras and Konstantinos Kotis
In the realm of Parkinson?s Disease (PD) research, the integration of wearable sensor data with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and monitoring. This study delves into the complex domain of PD patient car...
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Tee Connie, Timilehin B. Aderinola, Thian Song Ong, Michael Kah Ong Goh, Bayu Erfianto and Bedy Purnama
Parkinson?s disease (PD) is a neurodegenerative disorder that is more common in elderly people and affects motor control, flexibility, and how easily patients adapt to their walking environments. PD is progressive in nature, and if undetected and untreat...
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Emad Arasteh, Ailar Mahdizadeh, Maryam S. Mirian, Soojin Lee and Martin J. McKeown
Parkinson?s disease (PD) is characterized by abnormal brain oscillations that can change rapidly. Tracking neural alternations with high temporal resolution electrophysiological monitoring methods such as EEG can lead to valuable information about altera...
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Seon Lee, Se-Hong Oh, Sun-Won Park, Chaewon Shin, Jeehun Kim, Jung-Hyo Rhim, Jee-Young Lee and Joon-Yul Choi
The purpose of this study was to determine whether a support vector machine (SVM) model based on quantitative susceptibility mapping (QSM) can be used to differentiate iron accumulation in the deep grey matter of early Parkinson?s disease (PD) patients f...
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Syed Waqas Haider Shah, Khalid Iqbal and Ahmad Talal Riaz
The Internet-of-Things (IoT) is a paradigm shift from slow and manual approaches to fast and automated systems. It has been deployed for various use-cases and applications in recent times. There are many aspects of IoT that can be used for the assistance...
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Alica Stubnova Sparling, David W. Martin and Lillian B. Posey
Citing a lack of information, the U.S. Environmental Protection Agency prudently did not account for the benefits of averting many chronic diseases in analyzing the Worker Protection Standards (WPS) revisions. We demonstrate that sufficient information c...
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