Adaptive Fourier modeling for quantification of tremor
Open accessAbstract
A new computational method for quantification of tremor, the weighted frequency Fourier linear combiner (WFLC), is presented. This technique rapidly determines the frequency and amplitude of tremor by adjusting its filter weights according to a gradient search method. It provides continual tracking of frequency and amplitude modulations over the course of a test. By quantifying time-varying characteristics, the WFLC assists in correctly interpreting the results of spectral analysis, particularly for recordings exhibiting multiple spectral peaks. It therefore supplements spectral analysis, providing a more accurate picture of tremor than spectral analysis alone. The method has been incorporated into a desktop tremor measurement system to provide clinically useful analysis of tremor recorded during handwriting and drawing using a digitizing tablet. Simulated data clearly demonstrate tracking of variations in frequency and amplitude. Clinical recordings then show specific examples of quantification of time-varying aspects of tremor.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Pathological tremor tends to display a dominant frequency, and that frequency tends to remain constant with slight variations.
“Pathological tremor (patients with essential tremor and Parkinson disease) tend to display tremor with a dominant frequency [5–8].”
From Estimation of physiological tremor from accelerometers for real-time applications (2011) · cites this paper as [6]
Cites
A theory for multiresolution signal decomposition: the wavelet representation
Mallat, S. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192463 · Cited by 21,463 · see citing works
Discrete-Time Signal Processing
Oppenheim, A. V., & Schafer, R. W. (1989) · Cited by 11,808 · see citing works
Time-frequency distributions-a review
Cohen, L. W. (1989) · Proceedings of the IEEE · doi:10.1109/5.30749 · Cited by 3,580 · see citing works
Elementary Differential Equations and Boundary Value Problems.
Trahan, D. H., Boyce, W. E., & DiPrima, R. C. (1979) · American Mathematical Monthly · doi:10.2307/2320609 · Cited by 2,253 · see citing works
Improved time-frequency representation of multicomponent signals using exponential kernels
Choi, H., & Williams, W. J. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/assp.1989.28057 · Cited by 1,301 · see citing works
Principles of coherent communication
Viterbi, A. J. (1966) · Cited by 961 · see citing works
Physiologic and essential tremor
Elble, R. J. (1986) · Neurology · doi:10.1212/wnl.36.2.225 · Cited by 231 · see citing works
Tremor, the cogwheel phenomenon and clonus in Parkinson's disease.
Findley, L. J. J., Gresty, M. A., & Halmagyi, G. M. (1981) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.44.6.534 · Cited by 210 · see citing works
A computational procedure for movement analysis in handwriting
Marquardt, C., & Mai, N. (1994) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(94)90053-1 · Cited by 189 · see citing works
Adaptive Fourier estimation of time-varying evoked potentials
Vaz, C. A., & Thakor, N. V. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.18751 · Cited by 159 · see citing works
Self-citationObservations on the design and specification of a wrist-worn human activity monitoring system
Redmond, D. P., & Hegge, F. W. (1985) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200979 · Cited by 131 · see citing works
Modeling and canceling tremor in human-machine interfaces
Riviere, C. N., & Thakor, N. V. (1996) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.499755 · Cited by 114 · see citing works
Self-citationAn adaptive estimation of periodic signals using a Fourier linear combiner
Vaz, C., Kong, X., & Thakor, N. (1994) · IEEE Transactions on Signal Processing · doi:10.1109/78.258116 · Cited by 108 · see citing works
Self-citationGuo, Z., Durand, L., & Lee, H. C. (1994) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.284961 · Cited by 90 · see citing works
Quantification of tremor with a digitizing tablet
Elble, R. J., Sinha, R. K., & Higgins, C. (1990) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(90)90140-b · Cited by 86 · see citing works
Time-frequency transforms: a new approach to first heart sound frequency dynamics
Wood, J. C., Buda, A. J., & Barry, D. T. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.142648 · Cited by 84 · see citing works
(1987) · PubMed · Cited by 75 · see citing works
Spectral analysis of tremor: understanding the results.
Gresty, M. A., & Buckwell, D. (1990) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.53.11.976 · Cited by 72 · see citing works
A Normative Study of Postural Tremor of the Hand
Wade, P., Gresty, M. A., & Findley, L. J. J. (1982) · Archives of Neurology · doi:10.1001/archneur.1982.00510180036009 · Cited by 62 · see citing works
Adaptive human-machine interface for persons with tremor
Riviere, C. N., & Thakor, N. V. (2002) · Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society · doi:10.1109/iembs.1995.579637 · Cited by 29 · see citing works
Self-citationDiurnal variation in physiological tremor
Tyrer, P. J., & Bond, A. J. (1974) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(74)90243-0 · Cited by 23 · see citing works
Finger tremor in Parkinson's disease.
Lakie, M., & Mutch, W. J. (1989) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.52.3.392 · Cited by 19 · see citing works
Jamous, G. A., Durand, L., Langlois, Y., Lanthier, T., Pîbarot, P., & Carioto, S. (1992) · Medical & Biological Engineering & Computing · doi:10.1007/bf02457829 · Cited by 17 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Design and Validation of a Rehabilitation Robotic Exoskeleton for Tremor Assessment and Suppression
Rocon, E., Belda-Lois, J. M., Ruiz, A. F., Manto, M., Moreno, J. C., & Pons, J. L. (2007) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.903917 · Cited by 349 · see citing works
Adaptive cancelling of physiological tremor for improved precision in microsurgery
Riviere, C. N., Rader, R. S., & Thakor, N. V. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.686791 · Cited by 260 · see citing works
Self-citationClinically deployable Kinesia™ technology for automated tremor assessment
Giuffrida, J. P., Riley, D. E., Maddux, B. N., & Heldman, D. A. (2009) · Movement Disorders · doi:10.1002/mds.22445 · Cited by 251 · see citing works
Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors
Rigas, G., Tzallas, A. T., Tsipouras, M. G., Bougia, P., Tripoliti, E. E., Baga, D., Fotiadis, D. I., Tsouli, S. G., & Konitsiotis, S. (2012) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2182616 · Cited by 241 · see citing works
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
Liu, Z., Wu, Q., Zhang, Y., & Chen, C. L. P. (2011) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-011-0012-5 · Cited by 214 · see citing works
Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit
Dai, H., Zhang, P., & Lueth, T. (2015) · Italian National Conference on Sensors · doi:10.3390/s151025055 · Cited by 147 · see citing works
Estimation of physiological tremor from accelerometers for real-time applications
Veluvolu, K. C., & Ang, W. T. (2011) · Sensors · doi:10.3390/s110303020 · Cited by 117 · see citing works
“For the tremor signal consisting of multiple dominant frequencies closely, the accuracy in tremor estimation decreases with WFLC [6].”
Modeling and canceling tremor in human-machine interfaces
Riviere, C. N., & Thakor, N. V. (1996) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.499755 · Cited by 114 · see citing works
Self-citationA Review on Techniques for Tremor Recording and Quantification
Mansur, P. H. G., Cury, L. K. P., Andrade, A. D. O., Pereira, A. A., Miotto, G., Soares, A. B., & Naves, E. L. M. (2007) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v35.i5.10 · Cited by 100 · see citing works
Pathological tremor management: modelling, compensatory technology and evaluation
Rocon, E., Belda-Lois, J. M., Sanchez-Lacuesta, J. J., & Pons, J. L. (2004) · Technology and Disability · doi:10.3233/tad-2004-16102 · Cited by 89 · see citing works
Veluvolu, K. C., & Ang, W. T. (2010) · The International Journal of Medical Robotics and Computer Assisted Surgery · doi:10.1002/rcs.340 · Cited by 83 · see citing works
Dimensionality Reduction in Control and Coordination of the Human Hand
Vinjamuri, R. K., Sun, M., Chang, C.-C., Lee, H.-N., Sclabassi, R. J., & Mao, Z.-H. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2032532 · Cited by 80 · see citing works
Erasmus, L.-P., Sarno, S., Albrecht, H., Schwecht, M., Pöllmann, W., & König, N. H. (2001) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00373-9 · Cited by 77 · see citing works
Veluvolu, K. C., Latt, W. T., & Ang, W. T. (2010) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2009.06.001 · Cited by 65 · see citing works
Robust Controller for Tremor Suppression at Musculoskeletal Level in Human Wrist
Taheri, B., Case, D., & Richer, E. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2295034 · Cited by 63 · see citing works
Romero, L., Chatterjee, P., & Armentano, R. L. (2016) · Health and Technology · doi:10.1007/s12553-016-0148-0 · Cited by 62 · see citing works
Spiral drawing performance as an indicator of fine motor function in people with multiple sclerosis
Longstaff, M. G., & Heath, R. A. (2006) · Human Movement Science · doi:10.1016/j.humov.2006.05.005 · Cited by 58 · see citing works
Robotic Assistance by Impedance Compensation for Hand Movements While Manual Welding
Erden, M. S., & Billard, A. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2478656 · Cited by 55 · see citing works
Pathological Tremor and Voluntary Motion Modeling and Online Estimation for Active Compensation
Bo, A. P. L., Poignet, P., & Geny, C. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2091283 · Cited by 53 · see citing works
Adaptive Suppression of Severe Pathological Tremor by Torque Estimation Method
Taheri, B., Case, D., & Richer, E. (2015) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2014.2317948 · Cited by 53 · see citing works
Practical Applications in Biomedical Engineering
Andrade, A. O., Alves Pereira, A., Naves, E. L. M., & Soares, A. B. (2013) · InTech eBooks · doi:10.5772/3331 · Cited by 52 · see citing works
Atashzar, S. F., Shahbazi, M., Samotus, O., Tavakoli, M., Jog, M. S., & Patel, R. V. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2530632 · Cited by 45 · see citing works
Characterization of Parkinsonian Hand Tremor and Validation of a High-Order Tremor Estimator
Zhou, Y., Jenkins, M. E., Naish, M. D., & Trejos, A. L. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2859793 · Cited by 41 · see citing works
Lainscsek, C. S. M., Rowat, P. F., Schettino, L., Lee, D., Song, D. D., Christophe Letellier, A., & Howard Poizner, A. (2012) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3683444 · Cited by 40 · see citing works
Machine Learning and Data Mining Methods for Managing Parkinson’s Disease
Miljković, D., Aleksovski, D., Podpečan, V., Lavrač, N., Malle, B., & Holzinger, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50478-0_10 · Cited by 37 · see citing works
Real-time quantification of resting tremor in the Parkinson's disease
Rigas, G., Tzallas, A. T., Tsalikakis, D., Konitsiotis, S., & Fotiadis, D. I. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5332580 · Cited by 37 · see citing works
Dai, H., Otten, B., Mehrkens, J. H., D’Angelo, L., & Lueth, T. C. (2013) · IEEE Sensors Journal · doi:10.1109/jsen.2013.2271775 · Cited by 34 · see citing works
Quantification of Manual Force Control and Tremor
Spirduso, W. W., Francis, K., Eakin, T., & Stanford, C. (2005) · Journal of Motor Behavior · doi:10.3200/jmbr.37.3.197-210 · Cited by 34 · see citing works
Dicianno, B. E., Spaeth, D. M., Cooper, R. A., Fitzgerald, S. G., & Boninger, M. L. (2006) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/01.phm.0000228519.54763.b4 · Cited by 32 · see citing works
Admittance-Based Voluntary-Driven Motion With Speed-Controlled Tremor Rejection
Herrnstadt, G., & Menon, C. (2016) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2016.2555811 · Cited by 28 · see citing works
Potential of Robot-Based Surgery for Otosclerosis Surgery
Nguyen, Y., Bernardeschi, D., & Sterkers, O. (2018) · Otolaryngologic Clinics of North America · doi:10.1016/j.otc.2017.11.016 · Cited by 26 · see citing works
Human Tremor: Origins, Detection and Quantification
Adriano, O., Alves, A., de Almeida, M. F. S., Lopes, G., da Silva, A. P. S. P. B., Bernardino, S., & Carlos, V. (2013) · InTech eBooks · doi:10.5772/54524 · Cited by 26 · see citing works
Smartphone-based gait assessment to infer Parkinson's disease severity using crowdsourced data
Abujrida, H., Agu, E., & Pahlavan, K. (2017) · IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT) · doi:10.1109/hic.2017.8227621 · Cited by 24 · see citing works
Extraction of Sources of Tremor in Hand Movements of Patients With Movement Disorders
Vinjamuri, R., Crammond, D. J., Kondziolka, D., Lee, H.-N., & Mao, Z.-H. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2008.2006403 · Cited by 23 · see citing works
IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System
Zhu, H., Li, X., Wang, L., Chen, Z., Shi, Y., Zheng, S., & Li, M. (2022) · Sensors · doi:10.3390/s22093353 · Cited by 23 · see citing works
Joystick use for virtual power wheelchair driving in individuals with tremor: pilot study.
Dicianno, B. E., Sibenaller, S., Kimmich, C., Cooper, R. A., & Pyo, J. (2009) · PubMed · Cited by 22 · see citing works
Discrete Cosine Transform for the Analysis of Essential Tremor
Solé‐Casals, J., Anchustegui-Echearte, I., Martí-Puig, P., Calvo, P. M., Bergareche, A., Sánchez-Méndez, J. I., & de Ipiña, K. L. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2018.01947 · Cited by 22 · see citing works
Prediction of Pathological Tremor Signals Using Long Short-Term Memory Neural Networks
Valdunciel, A. P., Lopo-Martínez, V., Sendra-Arranz, R., González-Sánchez, M., Sánchez, J. R. P., Grandas, F., Torricelli, D., Moreno, J. C., Barroso, F. O., Pons, J. L., et al. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3209316 · Cited by 21 · see citing works
Shah, A., Coste, J., Lemaire, J.-J., Taub, E., Schüpbach, W. M. M., Pollo, C., Schkommodau, E., Guzman, R., & Hemm-Ode, S. (2017) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-016-1559-9 · Cited by 21 · see citing works
Upper limb intention tremor assessment: opportunities and challenges in wearable technology
Paredes-Acuña, N., Utpadel-Fischler, D., Ding, K., Thakor, N. V., & Cheng, G. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01302-9 · Cited by 22 · see citing works
Self-citationDai, H., Otten, B., Mehrkens, J. H., D’Angelo, L., & Lueth, T. C. (2014) · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · Cited by 19 · see citing works
Tremor Estimation and Removal in Robot-Assisted Surgery Using Lie Groups and EKF
Rana, R., Gaur, P., Agarwal, V., & Parthasarathy, H. (2019) · Robotica · doi:10.1017/s0263574719000341 · Cited by 17 · see citing works
Symptoms and medications change patterns for Parkinson's disease patients stratification
Valmarska, A., Miljković, D., Konitsiotis, S., Gatsios, D. A., Nada Lavrač, A., & Robnik‐Šikonja, M. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.04.010 · Cited by 16 · see citing works
Zhou, Y., Jenkins, M. E., Naish, M. D., & Trejos, A. L. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7592069 · Cited by 16 · see citing works
de Ipiña, K. L., Solé‐Casals, J., Sánchez-Méndez, J. I., Romero-García, R., Fernández, E., Requejo, C., Poologaindran, A., Faúndez-Zanuy, M., Martí-Massó, J. F., Bergareche, A., et al. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.648573 · Cited by 15 · see citing works
Atashzar, S. F., Jafari, N., Shahbazi, M., Janz, H. L., Tavakoli, M., Patel, R. V., & Adams, K. D. (2017) · Journal of Medical Robotics Research · doi:10.1142/s2424905x17400013 · Cited by 14 · see citing works
Tremor magnitude: A single index to assess writing and drawing in essential tremor
Ulmanová, O., Homann, C. N., Ulman, R., Jech, R., Čapek, V., Klempíř, J., & Růžička, E. (2006) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2006.04.010 · Cited by 14 · see citing works
Hilbert–Huang transform based instrumental assessment of intention tremor in multiple sclerosis
Carpinella, I., Cattaneo, D., & Ferrarin, M. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/4/046011 · Cited by 12 · see citing works
Prediction of pathological tremor using adaptive multiple oscillators linear combiner
Xiao, F., Gao, Y., Wang, S., & Zhao, J. (2016) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2016.01.006 · Cited by 11 · see citing works
Taheri, B., Case, D., & Richer, E. (2013) · doi:10.1115/dscc2013-3954 · Cited by 11 · see citing works
Spinal cord integrity monitoring by adaptive coherence measurement
Sherman, D. L., Wuyyuru, V., Brooke, M. J., Zhang, H. X., Sepkuty, J. P., Thakor, N. V., Natarajan, A., & All, A. H. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.07.035 · Cited by 11 · see citing works
Self-citationOlzak, M., Laskowska, I., Jelonek, J., Michalak, M., Szołna, A., Gryz, J., Harat, M., & Gorzelańczyk, E. J. (2006) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2006.05.046 · Cited by 10 · see citing works
Analysis of medications change in Parkinson’s disease progression data
Valmarska, A., Miljković, D., Lavrač, N., & Robnik‐Šikonja, M. (2018) · Journal of Intelligent Information Systems · doi:10.1007/s10844-018-0502-y · Cited by 9 · see citing works
Bui, H. T., Audet, O., Mathieu, J., Gagnon, C., & Leone, M. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.07.013 · Cited by 9 · see citing works
Analysis of kinematic data in pathological tremor with the Hilbert-Huang transform
Gallego, J. Á., Rocón, E., Koutsou, A. D., & Pons, J. L. (2011) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2011.5910493 · Cited by 8 · see citing works
Exploring data-driven modeling and analysis of nonlinear pathological tremors
Wang, J., & Barry, O. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2021.107659 · Cited by 7 · see citing works
Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis
Western, D., Neild, S. A., Jones, R., & Davies-Smith, A. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0881-1 · Cited by 6 · see citing works
Mengüç, E. C., & Rezayi, N. (2019) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2019.8806387 · Cited by 6 · see citing works
Amarantini, D., Rieu, I., Castelnovo, G., Fluchère, F., Laurencin, C., Degos, B., Poujois, A., Kreisler, A., Sangla, S., Tir, M., et al. (2022) · Sensors · doi:10.3390/s22062385 · Cited by 5 · see citing works
Valmarska, A., Miljković, D., Konitsiotis, S., Gatsios, D. A., Nada Lavrač, A., & Robnik‐Šikonja, M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59758-4_13 · Cited by 5 · see citing works
Decoupling tremor and volitional force control factors in analyses of motor task performance
Eakin, T., Francis, K., & Spirduso, W. W. (2001) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(01)00019-6 · Cited by 4 · see citing works
Adaptive filtering of physiological tremor for real-time compensation
Veluvolu, K. C., Tan, U.-X., Latt, W. T., Shee, C. Y., & Ang, W. T. (2009) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2009.4913057 · Cited by 4 · see citing works
Assessment and Elimination of Surgeon Hand Tremor During Robotic Surgery
Kumar, A., Kumar, S., & Kumar, A. (2023) · Springer eBooks · doi:10.1007/978-981-99-2074-7_97 · Cited by 3 · see citing works
Recognition of Navigation Commands for a Smart Walker Through Force Sensors
Jiménez, M. F., Frizera, A., & Bastos-Filho, T. (2019) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-13-2119-1_105 · Cited by 3 · see citing works
Yang, X., Zeng, W., Estrada, S., Breteler, M. M. B., & Aziz, N. A. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105771 · Cited by 2 · see citing works
Ultrasound-Enhanced Data-Driven Modeling for Characterizing Natural Wrist Tremor Dynamics
Xue, X.-M., Ganesh, V., Iyer, A., Roque, D., Jiang, X.-N., & Sharma, N. (2025) · IEEE journal of biomedical and health informatics · doi:10.1109/jbhi.2025.3622539 · Cited by 2 · see citing works
Xiao, F., Zhong, B., Wu, Y., & Wang, Y. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3222299 · Cited by 2 · see citing works
Baek, H., Lockwood, D. S., Obusez, E. C., Poturalski, M. J., Chen, J. M., Nagel, S. J., & Jones, S. E. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106085 · Cited by 2 · see citing works
Tamás, E., Földi, S., Makk, Á., & Cserey, G. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1537470 · Cited by 2 · see citing works
Relating sensor-based tremor metrics to a conventional clinical scale
Western, D., Neild, S. A., Hyde, R. A., Jones, R., & Davies-Smith, A. (2014) · IEEE Healthcare Innovation Conference (HIC) · doi:10.1109/hic.2014.7038900 · Cited by 2 · see citing works
Assessment and Elimination of Surgeon Hand Tremor During Robotic Surgery
Kumar, A., Kumar, A., & Kumar, A. (2022) · Springer eBooks · doi:10.1007/978-981-19-1550-5_97-1 · Cited by 1 · see citing works
Automatic Assessment of Bradykinesia in Parkinson’s Disease Using Tapping Videos
Zupanič, M., Georgiev, D., & Žabkar, J. (2024) · Student Computing Research Symposium (SCORES) · doi:10.18690/um.feri.6.2024.15 · Cited by 1 · see citing works
PERFORM: First steps in the assessment of patient motion status and support to treatment changes
Rigas, G., Tzallas, A. T., Baga, D. A., Exarchos, T. P., Katsis, C. D., Chaloglou, D. A., Konitsiotis, S., & Fotiadis, D. I. (2009) · IEEE International Conference on Information Technology and Applications in Biomedicine · doi:10.1109/itab.2009.5394349
Tare, S. M. (2009) · D-Scholarship@Pitt (University of Pittsburgh)
Towards the Development of a Wearable Tremor Suppression Glove
Zhou, Y. (2015) · Scholarship@Western (Western University)
Bakshi, K., Chandra, S., Konar, A., & Tibarewala, D. N. (2012) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-61350-429-1.ch032
Multiple-Model and Reduced-Order Kalman Filtering for Pathological Hand Tremor Extraction
Ghassab, V. K., Mohammadi, A., Atashzar, S. F., & Patel, R. V. (2018) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2018.8462491
Patolojik Dinlenme Tremorlerinin Kompleks Düzlemde Adaptif Tahmini
Güvenç, B. Ç., & Mengüç, E. C. (2022) · European Journal of Science and Technology · doi:10.31590/ejosat.1039914
Ling, J. Q., Bakibillah, A. S. M., Chan, P. Y., Nurzaman, S. G., & Tan, C. P. (2025) · Scientific Reports · doi:10.1038/s41598-025-08216-7
Daoudi, H., Nguyen, Y., Torres, R., Ferrary, E., & Sheppard, S. C. (2026) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-026-10581-6
Movement Disorder Assessment and Attenuation Techniques for Removal of Tremor
Teskey, W. F., Elhabiby, M., & El‐Sheimy, N. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-29752-6_5
- Authors
- Riviere, C. N., Reich, S. G., & Thakor, N. V.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Thakor, Nitish V.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 1997-06
- Volume
- 74
- Issue
- 1
- Pages
- 77-87
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2089667477
- Cited by
- 83
- References
- 23
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 1 · 2022: 6 · 2021: 2 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 7 · 2015: 4 · 2014: 4 · 2013: 5 · 2012: 3
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience Methods (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- U.S. Public Health Service (H133G30064)
- National Institute on Disability and Rehabilitation Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- tremor quantification, adaptive filtering, gradient search, frequency tracking, amplitude modulation, spectral analysis, digitizing tablet
- MeSH terms
- Algorithms, Fourier Analysis, Handwriting, Humans, Image Processing, Computer-Assisted, Microcomputers, Models, Neurological, Neurology, Parkinson Disease, Software, Tremor, Least-Squares Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review