Tremor Morphology Toolkit: Waveform Modulation-Based Tremor Phenotyping

The Tremor Morphology Toolkit (TMT) extracts eight waveform-morphology and modulation metrics from upper-limb inertial signals in 34 individuals with tremor across four tasks.

• Why it matters: Clinicians often rely on frequency and amplitude, but waveform shape, cycle consistency, and amplitude/timing variability can better reflect tremor type and underlying physiology.
• What they did: TMT computes rSHAPE, rSINE, rCVA, rCVD, AWI, DWI, FreqVar, and amplitude-breathing indices from accelerometer and gyroscope recordings during rest, outstretched, wing beating, and kinetic tasks.
• The result: The toolkit provides objective, reproducible quantification of bedside-assessed tremor morphology and modulation, enabling comparisons across recording conditions and supporting future validation against clinical labels and disease phenotypes.

AI summary of the abstract · may contain errors · not medical advice · read the paper.