Literature DB >> 30554812

Wearable-based electronics to objectively support diagnosis of motor impairments in school-aged children.

Mariachiara Ricci1, Monica Terribili2, Franco Giannini1, Vito Errico1, Antonio Pallotti1, Cinzia Galasso2, Laura Tomasello2, Silvia Sias2, Giovanni Saggio3.   

Abstract

Developmental coordination disorder (DCD) and attention-deficit hyperactivity disorder (ADHD) are neuro-developmental disorders, starting in childhood, which can affect the planning of movements and the coordination. We investigated how and in which measure a system based on wearable inertial measurement units (IMUs) can provide an objective support to the diagnosis of motor impairments in school-aged children. The IMUs measured linear and rotational movements of 37 schoolchildren, 7-10yo, 17 patients and 20 control subjects, during the execution of motor exercises, performed under medical and psychiatric supervision, to assess different aspects of the motor coordination. The measured motor parameters showed a high degree of significance in discriminating the ADHD/DCD patients from the healthy subjects, pointing out which motor tasks are worth focusing on. So, medical doctors have a novel key lecture to state a diagnosis, gaining in objectivity with respect to the standard procedures which mainly involve subjective human judgment. Differently to other works, we propose a novel approach in terms of number of used IMUs and of performed motor tasks. Moreover, we demonstrate the meaningful parameters to be considered as more discriminant in supporting the medical diagnosis.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ADHD; Biomedical signal processing; DCD; Inertial sensor; Wearable electronics

Mesh:

Year:  2018        PMID: 30554812     DOI: 10.1016/j.jbiomech.2018.12.005

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms.

Authors:  Giovanni Saggio; Pietro Cavallo; Mariachiara Ricci; Vito Errico; Jonathan Zea; Marco E Benalcázar
Journal:  Sensors (Basel)       Date:  2020-07-11       Impact factor: 3.576

Review 2.  Gaming Technology for Pediatric Neurorehabilitation: A Systematic Review.

Authors:  Marco Iosa; Cristiano Maria Verrelli; Amalia Egle Gentile; Martino Ruggieri; Agata Polizzi
Journal:  Front Pediatr       Date:  2022-01-28       Impact factor: 3.418

3.  A Wearable Diagnostic Assessment System vs. SNAP-IV for the auxiliary diagnosis of ADHD: a diagnostic test.

Authors:  Jie Luo; Huanhuan Huang; Shuang Wang; Shengjian Yin; Sijian Chen; Lin Guan; Xinlong Jiang; Fan He; Yi Zheng
Journal:  BMC Psychiatry       Date:  2022-06-21       Impact factor: 4.144

4.  Wearable Electronics Assess the Effectiveness of Transcranial Direct Current Stimulation on Balance and Gait in Parkinson's Disease Patients.

Authors:  Mariachiara Ricci; Giulia Di Lazzaro; Antonio Pisani; Simona Scalise; Mohammad Alwardat; Chiara Salimei; Franco Giannini; Giovanni Saggio
Journal:  Sensors (Basel)       Date:  2019-12-11       Impact factor: 3.576

  4 in total

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