Intelligent Sensory Pen for Aiding in the Diagnosis of Parkinson's Disease from Dynamic Handwriting Analysis

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2020 Oct 20

PMID 33076436

Citations 6

Authors

Eugenio Peixoto Junior

Italo L D Delmiro

Naercio Magaia

Fernanda M Maia

Mohammad Mehedi Hassan

Victor Hugo C Albuquerque

Giancarlo Fortino

Affiliations

Soon will be listed here.

Abstract

In this paper, we propose a pen device capable of detecting specific features from dynamic handwriting tests for aiding on automatic Parkinson's disease identification. The method used in this work uses machine learning to compare the raw signals from different sensors in the device coupled to a pen and extract relevant information such as tremors and hand acceleration to diagnose the patient clinically. Additionally, the datasets composed of raw signals from healthy and Parkinson's disease patients acquired here are made available to further contribute to research related to this topic.

Citing Articles

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Upper limb intention tremor assessment: opportunities and challenges in wearable technology.

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Diagnosis and Treatment of Tremor in Parkinson's Disease Using Mechanical Devices.

Fujikawa J, Morigaki R, Yamamoto N, Nakanishi H, Oda T, Izumi Y Life (Basel). 2023; 13(1).

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Analysis of Parkinson's Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods.

Barukab O, Ahmad A, Khan T, Thayyil Kunhumuhammed M Diagnostics (Basel). 2022; 12(12).

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