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Showing 1-25 of 399 resultsfor "Index Terms":Finger Tapping
"Index Terms":Finger Tapping
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Is Central Origin of Muscle Fatigue Distinguished Solely in Finger Tapping Performance?
Leyla Aydin;Erhan Kiziltan;Ersin Öğüş;Bahadir Azizağaoğlu;Arda Büyükkaraman;Selen Doğan;Gizem Ertürk;Cansel Kuş
2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Ischemia in presence of drug induced long QT syndrome 2 (LQTS2) predisposes the tissue to Torsade de pointes (TdP). Reentrant arrhythmias occurring during phase 1B of ischemia have been primarily associated with areas of cellular uncoupling and hyperkalaemia. This study aims to investigate how a region of lowered gap junction conductance (GJC) in presence of LQTS2 can initiate a TdP. Here, a discr...Show More
Performance feedback assists practice driven plasticity
Aqsa Shakeel;Hafsah Ahmad;Muhammad Samran Navid;Amnah Mahroo;Muhammad Nabeel Anwar
2017 13th IASTED International Conference on Biomedical Engineering (BioMed)
Year: 2017 | Conference Paper |
Motor skills are generally acquired by means of practice. This procedure comprised of acquiring particular task requirements by overruling intrinsic tendencies. The objectives of the present study were; to induce plasticity through bimanual finger tapping task; and to determine the influence of presence or absence of performance feedback on training. Behavioural data from 16 healthy subjects was r...Show More
A Statistical Characterization of the Finger Tapping Test: Modeling, Estimation, and Applications
Daniel Austin;James McNames;Krystal Klein;Holly Jimison;Misha Pavel
Sensory-motor performance is indicative of both cognitive and physical function. The Halstead-Reitan finger tapping test is a measure of sensory-motor speed commonly used to assess function as part of a neuropsychological evaluation. Despite the widespread use of this test, the underlying motor and cognitive processes driving tapping behavior during the test are not well characterized or understoo...Show More
Speech, Facial and Fine Motor Features for Conversation-Based Remote Assessment and Monitoring of Parkinson's Disease
Hardik Kothare;Oliver Roesler;William Burke;Michael Neumann;Jackson Liscombe;Andrew Exner;Sandy Snyder;Andrew Cornish;Doug Habberstad;David Pautler;David Suendermann-Oeft;Jessica Huber;Vikram Ramanarayanan
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
We present a cloud-based multimodal dialogue platform for the remote assessment and monitoring of speech, facial and fine motor function in Parkinson's Disease (PD) at scale, along with a preliminary investigation of the efficacy of the various metrics automatically extracted by the platform. 22 healthy controls and 38 people with Parkinson's Disease (pPD) were instructed to complete four interact...Show More
Speech, Facial and Fine Motor Features for Conversation-Based Remote Assessment and Monitoring of Parkinson's Disease
Hardik Kothare;Oliver Roesler;William Burke;Michael Neumann;Jackson Liscombe;Andrew Exner;Sandy Snyder;Andrew Cornish;Doug Habberstad;David Pautler;David Suendermann-Oeft;Jessica Huber;Vikram Ramanarayanan
Year: 2022 | Conference Paper |
Decoding Finger Tapping With the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution
In stroke rehabilitation, motor imagery based on a brain-computer interface is an extremely useful method to control an external device and utilize neurofeedback. Many studies have reported on the classification performance of motor imagery to decode individual fingers in stroke patients compared with healthy controls. However, classification performance for a given limb is still low because the d...Show More
Quantitative Evaluation of Human Finger Tapping Movements Through Magnetic Measurements
Keisuke Shima;Toshio Tsuji;Akihiko Kandori;Masaru Yokoe;Saburo Sakoda
In this study, a magnetic sensor consisting of two coils was used to measure and evaluate finger tapping (FT) movements for diagnosis support and assessment of motor function. The sensor enables estimation of the distance between the two coil-bearing fingertips according to the nonlinear relationships between voltage and distance. The finger movements measured are evaluated by computing 12 indices...Show More
Unraveling the Motor Cortex for Individual Finger Tapping Movements: An fNIRS Study
Haroon Khan;M. N. Afzal Khan;Usman Tariq;Hasan Al-Nashash;Peyman Mirtaheri
Finger tapping is one of the most reliable and widely used tasks for evoking activity in the motor cortex area of the brain, both for the brain–computer interface (BCI) and for evaluating the progress of certain brain diseases. Keeping in view the importance of dominance of the right hand, the goal of this study is to understand the response of each finger tapping alongside proposing a suitable fi...Show More
Finger Tapping Test Evaluated by Embedded Fiber Bragg Gratings
Elena De Vita;Vincenzo Romano Marrazzo;Giovanni Breglio;Agostino Iadicicco;Stefania Campopiano
The finger tapping (FT) test is a widely used neuropsychological assessment designed to measure fine motor skills, like speed and coordination of finger movements, particularly used in diagnosing and tracking neurological conditions that affect motor control. Nowadays, despite the spread of this test, FT is clinically evaluated by observing the patient executing several FT tasks (FTTs) and assigni...Show More
Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic Robot
Seong-Hyun Yu;Young-Min Go;Hyeong-Yeong Park;Seo-Jin Lee;Minji Lee;Ji-Hoon Jeong
2024 12th International Winter Conference on Brain-Computer Interface (BCI)
Year: 2024 | Conference Paper |
In motor imagery, the greatest attention was paid to decoding signals from large muscles. However, there is a missing piece in helping people with finger issues or paralysis. This study investigates the potential advancements in neurorehabilitation by exploring the discriminative capabilities of electroencephalography (EEG) based classification in finger tapping. To improve neurorehabilitation str...Show More
Detection of Motor Deficits in Children with Autism Spectrum Disorder using FTT
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)
Year: 2019 | Conference Paper |
The aim of this study is to examine the speed of finger tapping task of control group and target group. It is very important to assess the teenager's motor control in detecting possible motor deficits. The Finger Tapping Test (FTT) is a commonly used test and is a neuropsychological test which is design to measure the motor control. The sample for this study included 25 teenagers from control grou...Show More
Improved Estimation of Human Cortical Activity and Connectivity with the Multimodal Integration of Neuroelectric and Hemodynamic Data
F. Babiloni;D. Mattia;A. Basilisco;L. Astolfi;F. Cincotti;L. Ding;K. Christine;J. Sweeney;J.C. Edgar;G.A. Miller;B. He
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
Year: 2005 | Conference Paper |
In the last decade, the possibility to noninvasively estimate cortical activity and connectivity has been highlighted by the application of the techniques known as high resolution EEG. These techniques include a subject's multi-compartment head model (scalp, skull, dura mater, cortex) constructed from individual magnetic resonance images, multi-dipole source model, and regularized linear inverse s...Show More
Quantitative Assessment of Cerebellar Ataxia With Kinematic Sensing During Rhythmic Tapping
Khoa D. Nguyen;Pubudu N. Pathirana;Malcolm Horne;Laura Power;David Szmulewicz
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
The aim of this study is to investigate the validity of an entropy-based objective assessment of cerebellar ataxia patients performing rhythmic tapping. Previous research conducted, particularly in time and frequency domains, tested the adherence of patients to more stringent experimental requirements. These requirements may inadvertently cause higher level brain functions to influence the perform...Show More
Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: Simulations and application to finger tapping data
L. Astolfi;F. Cincotti;C. Babiloni;F. Carducci;A. Basilisco;P.M. Rossini;S. Salinari;D. Mattia;S. Cerutti;D.B. Dayan;Lei Ding;Ying Ni;Bin He;F. Babiloni
Today, the concept of brain connectivity plays a central role in the neuroscience. While functional connectivity is defined as the temporal coherence between the activities of different brain areas, the effective connectivity is defined as the simplest brain circuit that would produce the same temporal relationship as observed experimentally between cortical sites. The most used method to estimate...Show More
Estimation of UPDRS Finger Tapping Score by using Artificial Neural Network for Quantitative Diagnosis of Parkinson's disease
2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine
Year: 2007 | Conference Paper |
Cited by: Papers (7)
The purpose of this study was to estimate UPDRS finger tapping score with Parkinson's disease patients by using an artificial neural network. The measurement system was composed of a pair of 3-axis accelerometers, a pair of touch sensors, an analog to digital converter and a personal computer. Firstly, the accelerations during the finger tapping were measured with 44 normal subjects and 17 Parkins...Show More
Heart rate variability for assessment of fatigue of central motor control in a rhythmical finger tapping task
2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
The central motor control in a long rhythmical finger tapping task is learned a little. In the present study, we investigate the central motor control during rhythmical finger tapping task. At the same time, the heart rate variability (HRV) were measured to provide the evidence of central fatigue. The appearance of central fatigue is revealed through the changes of HRV parameters, including time-d...Show More
Enhancing Model Generalizability In Parkinson’s Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments
Gianluca Amprimo;Giulia Masi;Gabriella Olmo;Claudia Ferraris
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2024 | Conference Paper |
Machine learning in Parkinson’s disease assessment uses data from clinically-coded movements, such as finger tapping, to objectively measure motor impairment. Video-based models showed promise in several experiments, but the lack of a unified test benchmark hinders proving generalizability. Additionally, new telemedicine systems may easily collect large amounts of unsupervised data, while obtainin...Show More
Contactless Finger Tapping Test Based on 60 GHz Frequency-Modulated Continuous-Wave Radar
2023 Asia-Pacific Microwave Conference (APMC)
Year: 2023 | Conference Paper |
As the population ages, there is increasing focus on prevalent neurodegenerative diseases, particularly Parkinson’s disease (PD), which is the second most common. Traditionally, early diagnosis using wearable devices such as accelerometers and gyroscopes plays a crucial role in slowing disease progression by detecting motor symptoms such as tremor, rigidity, bradykinesia, and postural instability....Show More
Exploring the Impact of Parkinson’s Medication Intake on Motor Exams Performed in-home Using Smart Gloves
Shehjar Sadhu;Vignesh Ravichandran;Nicholas Constant;Umer Akbar;Kunal Mankodiya;Dhaval Solanki
2023 IEEE 19th International Conference on Body Sensor Networks (BSN)
Year: 2023 | Conference Paper |
Parkinson’s disease (PD) is a neurological disorder that nearly affects 1 million people in the US alone. PD causes involuntary motor fluctuations, resulting in bradykinesia (slowness of movement), tremors, stiffness, walking imbalance, and other complications. PD has no known cure; however, treatment exists through regular medication intake and therapy. Clinicians rate the progression of the symp...Show More
Contactless Finger Tapping Detection at C-Band
Xiaodong Yang;Lei Guan;Yajun Li;Weigang Wang;Qing Zhang;Masood Ur Rehman;Qammer Hussain Abbasi
The rapid finger tap test is widely used in clinical assessment of dyskinesias in Parkinson's disease. In clinical practice, doctors rely on their clinical experience and use the Parkinson's Disease Uniform Rating Scale to make a brief judgment of symptoms. We propose a novel C-band microwave sensing method to evaluate finger tapping quantitatively and qualitatively in a non-contact way based on w...Show More
Classification of fNIRS Finger Tapping Data With Multi-Labeling and Deep Learning
Natalie M. Sommer;Burak Kakillioglu;Trevor Grant;Senem Velipasalar;Leanne Hirshfield
Studying the relationship between the brain and finger tapping motions can contribute towards an improved understanding of neuromuscular impairment. Furthermore, acquiring brain data signals non-intrusively during finger tapping exercises, and building a robust classification model can aid in the field of human computer interaction. In this paper, we present a promising approach for spatially desc...Show More
A Three-Dimensional Finger-Tapping Framework for Recognition of Patients With Mild Parkinson’s Disease
Junjie Li;Huaiyu Zhu;Haotian Wang;Bo Wang;Zhidong Cen;Dehao Yang;Peng Liu;Wei Luo;Yun Pan
The finger tapping test is a widely-used and important examination in the Movement Disorder Society Clinical Diagnosis for Parkinson’s Disease. However, finger tapping motion could be affected by age, medication, and other conditions. As a result, Parkinson’s disease patients with mild sign and healthy people could be rated as similar scores on the Movement Disorder Society-sponsored revision of t...Show More
Applications of the PowerGlove for Measurement of Finger Kinematics
Josien Van Den Noort;Kees Van Dijk;Henk Kortier;Nathalie Van Beek;Rens Verhagen;Lo Bour;Peter Veltink
2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Hand motor control is quite complex and measurement of hand kinematics is therefore of high interest in many fields. A new measurement system based on miniature inertial and magnetic sensors, the PowerGlove, has been developed. In the near future, the PowerGlove will be applied to study finger interdependency in healthy elderly and to objectively quantify hand motor symptoms in Parkinson's disease...Show More
Implementation of continuous wavelet transformation in repetitive finger tapping analysis for patients with PD
Milica Djurić-Jovičić;Vladislava N. Bobić;Milica Ječmenica-Lukić;Igor N. Petrović;Saša M. Radovanović;Nenad S. Jovičić;Vladimir S. Kostić;Mirjana B. Popović
2014 22nd Telecommunications Forum Telfor (TELFOR)
Year: 2014 | Conference Paper |
Cited by: Papers (5)
In this paper we propose a methodology for objective evaluation and classification of repetitive finger tapping performance based solely on its spectral behavior. We used miniature sensor system with gyroscope placed over fingertip of index finger for finger tapping recording. The study included 20 subjects - 10 patients with Parkinson's disease (PD) and 10 age and gender matched healthy controls....Show More
Multiple regression analysis of repetitive finger tapping parameters
Vera Miler-Jerković;Milica Djurić-Jovičić;Minja Perović-Belić;Milica Ječmenica-Lukić;Igor N. Petrović;Saša M. Radovanović;Vladimir S. Kostić;Mirjana B. Popović
2014 22nd Telecommunications Forum Telfor (TELFOR)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
In this paper, we present methodology for investigating relations among kinematic parameters of finger tapping, typically used for motor assessment of upper limb by implementing multiple linear regression analysis. Duration, speed and angle were selected as the most frequently used to describe taping performance. The goal of this study was to determine if these basic finger tapping parameters can ...Show More
Improving the identification of finger movements using high-density surface electromyography pre-processed with PCA
Dandan Yang;Xiaoying Wu;Zhengyi Li;Hui Zhou;Dao Zhou;Jinan Guan;Shuiqing Xie;Wensheng Hou
2020 13th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2020 | Conference Paper |
We investigated whether identification of different finger tasks only relying on the agonist or antagonist extensor digitorum communis (EDC) can be improved by using high-density sEMG (HDsEMG) pre-processed with principal component analysis (PCA). Monopolar HDsEMG was respectively recorded from EDC when the EDC muscle respectively acted as agonist or antagonist muscles. PCA-based approach was eval...Show More
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