Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Calibration Curves: Linear Least Squares

Calibration Curves: Linear Least Squares

A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...

Curvilinear Motion: Rectangular Components

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single stretching vibration...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Quantitative Probing of Strain-Robust Thermal Transport in Interfacially Engineered Graphene Oxide/Silk Fibroin Bionanofilms.

ACS nano·2026

Same author

Atomic force microscopy (AFM) tip metrology and inspection by knife edge diffractometry.

The Review of scientific instruments·2026

Same author

Mechanotherapeutic Potential of Survivin in Glioblastoma.

bioRxiv : the preprint server for biology·2026

Same author

Long-term Outcomes of Flow Diverters for Branch-incorporated Aneurysms.

AJNR. American journal of neuroradiology·2026

Same author

Characteristics of Germline and Somatic Mutations of DNA Repair Genes in Korean Men with Prostate Cancer.

The world journal of men's health·2025

Same author

Digital Gait Measures Discriminate People with Friedreich's Ataxia from Healthy Controls.

Movement disorders clinical practice·2025

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

Focal Ca2+ Transient Detection in Smooth Muscle

Focal Ca²⁺ Transient Detection in Smooth Muscle

Published on: June 29, 2009

Detecting and tracking tremor in spike trains using the rectangular model based extended Kalman smoother.

Sunghan Kim¹, James McNames

¹Biomedical Signal Processing Laboratory, Electrical & Computer Engineering, Portland State University, Portland, OR, USA. sunghan@pdx.edu

Journal of Neuroscience Methods

|February 13, 2010

Summary

Researchers developed a novel method to track tremor frequency and amplitude in neuronal signals. This technique aids in analyzing movement disorders like Parkinson's disease and essential tremor.

More Related Videos

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

Related Experiment Videos

Last Updated: Jun 16, 2026

Focal Ca2+ Transient Detection in Smooth Muscle

Focal Ca²⁺ Transient Detection in Smooth Muscle

Published on: June 29, 2009

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

Area of Science:

Neuroscience
Biomedical Engineering
Signal Processing

Background:

Tremor is a debilitating symptom in movement disorders, including Parkinson's disease (PD) and essential tremor (ET).
Analyzing neuronal activity alongside physical tremor measurements (EMG, gyroscopes, accelerometers) is crucial for understanding tremor.
Current methods may face challenges in continuously tracking tremor dynamics from neural data.

Purpose of the Study:

To introduce a new state-space model and extended Kalman smoother for analyzing spike trains.
To enable continuous tracking of instantaneous tremor frequency and amplitude from neuronal recordings.
To improve the detection of statistically significant tremor periods, especially in cases of intermittent tremor.

Main Methods:

Development of a novel state-space model tailored for spike train analysis.
Application of the extended Kalman smoother for estimating tremor parameters.
Integration of neuronal spike train data with physical tremor measurements.

Main Results:

The proposed method successfully tracks instantaneous tremor frequency and amplitude in spike trains.
The technique demonstrates efficacy in identifying periods of significant tremor.
The approach is particularly useful for analyzing intermittent tremor patterns.

Conclusions:

The new state-space model and Kalman smoother offer a robust method for analyzing tremor in neurological disorders.
This advancement can enhance the understanding and diagnosis of movement disorders characterized by tremor.
The method provides a valuable tool for researchers studying the neural basis of tremor.