Article
Neurosciences
Laura Tabacof, Stephen Braren, Taylor Patterson, Adam Fry, David Putrino
Summary: This study investigated the safety, tolerability, and preliminary effectiveness of a novel wearable vibrotactile stimulation device on resting tremor in individuals with Parkinson's disease. The results showed that short durations of vibrotactile stimulation delivered via wearable devices were safe and well tolerated, with potential effectiveness in reducing resting tremor severity.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Chemistry, Analytical
Luis Sigcha, Ignacio Pavon, Nelson Costa, Susana Costa, Miguel Gago, Pedro Arezes, Juan Manuel Lopez, Guillermo De Arcas
Summary: A novel approach using smartwatches and multitask classification models can accurately assess resting tremor in Parkinson's disease patients without interfering with their daily lives. Results show high agreement with clinical assessments, indicating the potential for early-stage disease monitoring and improvement of Parkinson's disease clinical evaluation.
Article
Clinical Neurology
Shinuan Lin, Chao Gao, Hongxia Li, Pei Huang, Yun Ling, Zhonglue Chen, Kang Ren, Shengdi Chen
Summary: This study used machine learning based on gait and postural transition parameters to differentiate early-stage Parkinson's disease (PD) from essential tremor (ET). The results showed that by combining wearable sensors and machine learning, it is possible to successfully distinguish between these two disorders.
JOURNAL OF NEUROLOGY
(2023)
Article
Engineering, Biomedical
Chenbin Ma, Deyu Li, Longsheng Pan, Xuemei Li, Chunyu Yin, Ailing Li, Zhengbo Zhang, Rui Zong
Summary: This study successfully assessed the severity of symptoms in ET patients using wearable sensor technology and machine learning methods, which could help clinicians automate scoring and improve disease management efficiency.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Chemistry, Analytical
Asma Channa, Rares-Cristian Ifrim, Decebal Popescu, Nirvana Popescu
Summary: Parkinson's disease patients commonly experience motor symptoms such as tremor and bradykinesia, with the accuracy of traditional assessment methods still being questioned. This research proposed an objective assessment solution using inertial sensors, which showed promising results in distinguishing patients from healthy controls through the extraction of temporal and spectral features.
Article
Computer Science, Artificial Intelligence
Mohsen Gholami, Rabab Ward, Ravneet Mahal, Maryam Mirian, Kevin Yen, Kye Won Park, Martin J. McKeown, Z. Jane Wang
Summary: In this study, an automatic, objective, and weakly supervised method was proposed for labeling gait videos of Parkinson's Disease patients. The method utilizes labeling functions and a generative model to classify patients' gait, and incorporates a weakly supervised 3D human pose estimation method to improve accuracy. The results suggest that the use of labeling functions may provide a robust means to interpret and classify patient-oriented videos involving motor tasks.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Clinical Neurology
Urs Kleinholdermann, Max Wullstein, David Pedrosa
Summary: This study aimed to develop a mobile, objective, and unobtrusive method for measuring motor symptoms in Parkinson's disease. Data from 45 PD patients were collected using surface electromyography (sEMG) electrodes attached to a wristband. A random forest regression model showed the highest correlation of 0.739 between true and predicted UPDRS values, indicating the potential of sEMG data in extrapolating motor symptoms of PD patients.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Preeti Khera, Neelesh Kumar
Summary: This research aims to develop a computationally efficient hybrid strategy for the evaluation of Parkinson's disease severity. By using normalized features and analyzing the relevance of gait features, the study provides valuable insights for clinical needs. It also identifies significant features suitable for clinical implications and proposes an assistive system for PD severity evaluation.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Engineering, Biomedical
Luis Pastor Sanchez-Fernandez, Luis Alejandro Sanchez-Perez, Paula Denisse Concha-Gomez, Adnan Shaout
Summary: A fuzzy logic system is proposed to evaluate the condition of Parkinson's disease patients based on the changes in hand muscle tension over time, using signals recorded by inertial measurement units (IMUs). In addition to the features established by MDS-UPDRS, this method incorporates other evaluation indicators to accurately assess the patient's biomechanical characteristics. This system can assist physicians in objective assessments, improving medical treatments.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Engineering, Biomedical
Junjie Li, Huaiyu Zhu, Jiaxiang Li, Haotian Wang, Bo Wang, Wei Luo, Yun Pan
Summary: This study proposes a wearable system for assessing upper limb tremor and differentiating between Parkinson's disease and essential tremor. The system collects tremor data from the wrist and fingers simultaneously and extracts multi-segment features to perform the differential diagnosis using support vector machine classifiers. The system demonstrated high accuracy in diagnosing Parkinson's disease versus essential tremor in real-world settings.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Chemistry, Analytical
Eko Sakti Pramukantoro, Akio Gofuku
Summary: Heartbeat monitoring is crucial for early detection of cardiovascular disease. This paper proposes a wearable device-based heartbeat classifier trained using machine learning and deep learning methods, achieving high accuracy for real-time monitoring.
Review
Computer Science, Information Systems
Marcelo Guerra Hahn, Silvia Margarita Baldiris Navarro, Luis De la Fuente Valentin, Daniel Burgos
Summary: Automatic scoring and feedback tools are crucial in online learning, offering benefits such as improving student experience, eliminating scoring biases, but also potentially hindering student creativity and promoting surface-level learning. These drawbacks provide opportunities to enhance technologies for a better learning experience.
Article
Telecommunications
Brindha Anbalagan, Sunitha Karnam Anantha, R. Kalpana
Summary: This study investigates the benefits of using wireless IMU sensors and IoT for measuring resting tremor severity in Parkinson's disease patients. A wearable glove with IMU sensor and wireless device is designed to collect and transmit the tremor data to clinicians, assisting in providing the MDS-UPDRS score. The study finds that the majority of PD patients have resting tremor in the frequency range of 4-6 Hz.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Ekaterina Kovalenko, Aleksandr Talitckii, Anna Anikina, Aleksei Shcherbak, Olga Zimniakova, Maksim Semenov, Ekaterina Bril, Dmitry V. Dylov, Andrey Somov
Summary: Parkinson's Disease is currently the fastest growing neurodegenerative disease and impacts patients' quality of life. This study presents a second opinion system based on video analysis and machine learning methods to assist in accurate diagnosis and avoid misdiagnosis of PD as essential tremor.
IEEE SENSORS JOURNAL
(2021)
Article
Biotechnology & Applied Microbiology
Basilio Vescio, Marida De Maria, Marianna Crasa, Rita Nistico, Camilla Calomino, Federica Aracri, Aldo Quattrone, Andrea Quattrone
Summary: A new wearable device and method were developed in this study to differentiate different types of rest tremor patterns using inertial data. The device, named RT-Ring, uses inertial sensors and machine learning models to predict tremor patterns. The results show that inertial data can be used to accurately predict the muscular contraction pattern of tremors.
BIOENGINEERING-BASEL
(2023)
Review
Medicine, General & Internal
Woong-Woo Lee, Beomseok Jeon, Ryul Kim
JOURNAL OF KOREAN MEDICAL SCIENCE
(2018)
Article
Medicine, General & Internal
Wonki Kim, In Ho Song, Yong Hoon Lim, Mi-Ryoung Kim, Young Eun Kim, Jae Ha Hwang, In Keyoung Kim, Sang Woo Song, Jin Wook Kim, Woong-Woo Lee, Han-Joon Kim, Cheolyoung Kim, Hee Chan Kim, In Young Kim, Hee Pyoung Park, Dong Gyu Kim, Beom Seok Jeon, Sun Ha Paek
JOURNAL OF KOREAN MEDICAL SCIENCE
(2014)
Article
Clinical Neurology
Gwanhee Ehm, Woong-Woo Lee, Yu Jin Jung, Han-Joon Kim, Beomseok Jeon
JOURNAL OF CLINICAL NEUROSCIENCE
(2019)
Review
Medicine, General & Internal
Hye Ran Park, Yong Hoon Lim, Eun Jin Song, Jae Meen Lee, Kawngwoo Park, Kwang Hyon Park, Woong-Woo Lee, Han-Joon Kim, Beomseok Jeon, Sun Ha Paek
JOURNAL OF CLINICAL MEDICINE
(2020)
Article
Clinical Neurology
Woong-Woo Lee, Han-Joon Kim, Hong Ji Lee, Han Byul Kim, Kwang Suk Park, Chul-Ho Sohn, Beomseok Jeon
Summary: This study developed a new semiautomated diagnostic algorithm using 3T-MR susceptibility-weighted imaging to differentiate Parkinson's disease from multiple system atrophy with predominant parkinsonism. The algorithm calculated phase-shift values to reflect iron concentration and demonstrated good performance in differentiating the two conditions.
JOURNAL OF MOVEMENT DISORDERS
(2022)
Article
Clinical Neurology
Seokjoon Yoon, Minki Kim, Woong-Woo Lee
Summary: This study aimed to develop a method for early detection of Parkinson's disease using the LSTM algorithm. The model trained with the most recent 12-month diagnostic codes exhibited the best performance, with an accuracy of 94.25%, a sensitivity of 82.91%, and a specificity of 95.26%.
JOURNAL OF CLINICAL NEUROLOGY
(2023)
Letter
Clinical Neurology
Woong-Woo Lee, Byung-Kun Kim, Jung Ju Lee, Kyusik Kang
JOURNAL OF CLINICAL NEUROLOGY
(2023)
Article
Clinical Neurology
Jung-Ju Lee, Kyung-Il Park, Jong-Moo Park, Kyusik Kang, Ohyun Kwon, Woong-Woo Lee, Byung-Kun Kim
Summary: This study retrospectively reviewed the clinical features and EEG findings of patients with nonconvulsive status epilepticus (NCSE) and found that acute metabolic disturbances were significantly correlated with poor outcomes. Adequate treatment of underlying reversible disorders and controlling seizures is critical for patients with NCSE.
JOURNAL OF CLINICAL NEUROLOGY
(2021)
Letter
Clinical Neurology
Michelle Youn, Jung-Ju Lee, Jong-Moo Park, Kyusik Kang, Ohyun Kwon, Woong-Woo Lee, Byung-Kun Kim
JOURNAL OF CLINICAL NEUROLOGY
(2021)
Review
Clinical Neurology
Ryul Kim, Beomseok Jeon, Woong-Woo Lee
MOVEMENT DISORDERS CLINICAL PRACTICE
(2016)