ArticleInternational biomechanics2019
Statistical parametric mapping of biomechanical one-dimensional data with Bayesian inference.
Article in International biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Using Statistical Parametric Mapping as a statistical method for more detailed insights in swimming: a systematic review.Frontiers in physiology · 2023Pooled it
- Biomechanical Variables Associated with the First 20 m of the Start Phase in Speed Skaters.Sports (Basel, Switzerland) · 2026Article
- Effects of chemical myosin II cross-bridge inhibitors on eccentric force production in skinned muscle fibres.Experimental physiology · 2026Article
- Insights into Neuromuscular Function in Older Adults from Functional Data Analysis of Time-Dependent Handgrip Strength Curves.Bioengineering (Basel, Switzerland) · 2026Article
- Biomechanical Characteristics of Compensatory Reactive Step Responding to the Simulated Trip Perturbation While Walking in Community-Dwelling People With Stroke: A Cross-Sectional Study.Health science reports · 2026Article
- Walking Speed Explains Apparent Ground Reaction Force Differences in Parkinson's Disease: A Waveform-Level SPM Analysis During Normal and Virtual Reality Walking.Parkinson's disease · 2026Article
- NONAN GaitPrint: An IMU gait database of healthy middle-aged adults.Scientific data · 2025Article
- Biomechanical impacts of 3D arch-support insoles on countermovement jumps: a statistical parametric mapping analysis.Frontiers in bioengineering and biotechnology · 2025Article
- Automatic estimation of hallux valgus angle using deep neural network with axis-based annotation.Skeletal radiology · 2024Article
- Insights on the Selection of the Coefficient of Variation to Assess Speed Fluctuation in Swimming.Journal of functional morphology and kinesiology · 2024Article
- Muscle Activation and Ground Reaction Force between Single-Leg Drop Landing and Jump Landing among Young Females during Weight-Acceptance Phase.Sports (Basel, Switzerland) · 2023Article
- Cardiovascular response to anticipatory and reactionary postural perturbations in young adults.Experimental physiology · 2023Article
- Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background.JMA journal · 2023Review
- Versatile clinical movement analysis using statistical parametric mapping in MovementRx.Scientific reports · 2023Article
- Article
- Validity Evaluation of an Inertial Measurement Unit (IMU) in Gait Analysis Using Statistical Parametric Mapping (SPM).Sensors (Basel, Switzerland) · 2021Article
- The Effects of Internal Attention on Knee Biomechanics in Volleyball Spike Jump through Augmented Video Feedback.Brain sciences · 2021Article
- Statistical Parametric Mapping Reveals Subtle Gender Differences in Angular Movements in Table Tennis Topspin Backhand.International journal of environmental research and public health · 2020Article
- The influence of postural threat on strategy selection in a stepping-down paradigm.Scientific reports · 2020Article
- Functional movement assessment by means of inertial sensor technology to discriminate between movement behaviour of healthy controls and persons with knee osteoarthritis.Journal of neuroengineering and rehabilitation · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent developments in Statistical Parametric Mapping (SPM) for continuum data (e.g. kinematic time series) have been adopted by the biomechanics research community with great interest. The Python/MATLAB package spm1d developed by T. Pataky has introduced SPM into the biomechanical literature, adapted originally from neuroimaging. The package already allows many of the statistical analyses common in biomechanics from a frequentist perspective. In this paper, we propose an application of Bayesian analogs of SPM based on Bayes factors and posterior probability with default priors using the BayesFactor package in R. Results are provided for two typical designs (two-sample and paired sample
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.