Literature DB >> 36053444

The prevention of falls in patients with Parkinson's disease with in-home monitoring using a wearable system: a pilot study protocol.

Daiana Campani1, Enrico De Luca1, Erika Bassi1,2, Erica Busca1, Chiara Airoldi1, Michela Barisone1, Massimo Canonico3, Elena Contaldi1,4, Daniela Capello1, Fabiola De Marchi1,5, Luca Magistrelli4, Letizia Mazzini1,5, Massimiliano Panella1, Lorenza Scotti1, Marco Invernizzi6, Alberto Dal Molin7,8.   

Abstract

BACKGROUND: Parkinson's disease (PD) is a chronic, progressive neurodegenerative condition that gradually worsens motor function and leads to postural instability and, eventually, falls. Several factors may influence the frequency of future falls, such as slowness, freezing of gait, loss of balance, and mobility problems, cognitive impairments, and the number of previous falls. The TED bracelet is an advanced technological wearable device able to predict falls. AIMS: This principal aim is to investigate the feasibility of a full-scale research project that uses the TED bracelet to identify whether individuals with PD are at risk of falling.
METHODS: This study will involve a pilot prospective observational study design; the subjects will include 26 patients suffering from mild PD and 26 others with no PD and no gait problems. Data will be collected from the TED bracelet and then compared to a paper-based fall diary. The enrolled participants will have a scheduled outpatient evaluation to collect both clinical and instrumental data as well as biological samples. DISCUSSION: This pilot study could then be implemented in a larger form to further evaluate the effectiveness of the TED device. Finally, it will help further develop gait monitoring systems for people with Parkinson's disease and other neurodegenerative diseases that can affect physical function and mobility, such as dementia and Alzheimer's.
CONCLUSIONS: Preventing falls and their complications could lead to major advancements in the quality of home care for patients with PD, which would significantly impact the quality of life of both these patients and their caregivers.
© 2022. The Author(s).

Entities:  

Keywords:  Fall prevention; Homecare; Parkinson’s disease; Telemedicine; Wearable device; e-health technology

Year:  2022        PMID: 36053444     DOI: 10.1007/s40520-022-02238-1

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   4.481


  19 in total

1.  Effects of rehabilitation on reducing dyskinesias in a Parkinson's disease patient abusing therapy with levodopa-carbidopa intestinal gel: a paradigmatic case report and literature review.

Authors:  A Petraroli; A de Sire; I Pino; L Moggio; C Marinaro; A Demeco; A Ammendolia
Journal:  J Biol Regul Homeost Agents       Date:  2021-08-02       Impact factor: 1.711

2.  Fall frequency, predicting falls and participating in falls research: similarities among people with Parkinson's disease with and without cognitive impairment.

Authors:  K Amar; E Stack; C Fitton; A Ashburn; H C Roberts
Journal:  Parkinsonism Relat Disord       Date:  2014-11-12       Impact factor: 4.891

Review 3.  Effect of virtual reality rehabilitation on functional outcomes for return-to-work patients with Parkinson's disease: An umbrella review of systematic reviews.

Authors:  Massimiliano Mangone; Francesco Agostini; Alessandro de Sire; Angelo Cacchio; Angelo Chiaramonte; Giulia Butterini; Andrea Martano; Marco Paoloni; Andrea Bernetti; Teresa Paolucci
Journal:  NeuroRehabilitation       Date:  2022       Impact factor: 1.986

Review 4.  Reliability of activity monitors for physical activity assessment in patients with musculoskeletal disorders: A systematic review.

Authors:  Francesco Negrini; Alessandro de Sire; Stefano Giuseppe Lazzarini; Federico Pennestrì; Salvatore Sorce; Chiara Arienti; Jacopo Antonino Vitale
Journal:  J Back Musculoskelet Rehabil       Date:  2021-04-27       Impact factor: 1.398

5.  Near-falls in people with Parkinson's disease: Circumstances, contributing factors and association with falling.

Authors:  Tatjana Gazibara; Darija Kisic Tepavcevic; Marina Svetel; Aleksandra Tomic; Iva Stankovic; Vladimir S Kostic; Tatjana Pekmezovic
Journal:  Clin Neurol Neurosurg       Date:  2017-08-24       Impact factor: 1.876

6.  The Parkinson's Disease Activities of Daily Living, Interference, and Dependence Instrument.

Authors:  Linda S Deal; Emuella Flood; Daniela E Myers; Jacob Devine; David L Gray
Journal:  Mov Disord Clin Pract       Date:  2019-09-06

Review 7.  Possibilities of ICT-supported services in the clinical management of older adults.

Authors:  Miriam Vollenbroek-Hutten; Stephanie Jansen-Kosterink; Monique Tabak; Luca Carlo Feletti; Gianluca Zia; Aurèle N'dja; Hermie Hermens
Journal:  Aging Clin Exp Res       Date:  2017-02-11       Impact factor: 3.636

8.  Recurrent falls in Parkinson's disease: a systematic review.

Authors:  Natalie E Allen; Allison K Schwarzel; Colleen G Canning
Journal:  Parkinsons Dis       Date:  2013-03-05

9.  Movement Analysis with Inertial Measurement Unit Sensor After Surgical Treatment for Distal Radius Fractures.

Authors:  Benedetta Zucchi; Massimiliano Mangone; Francesco Agostini; Marco Paoloni; Luisa Petriello; Andrea Bernetti; Valter Santilli; Ciro Villani
Journal:  Biores Open Access       Date:  2020-05-21

10.  A Telerehabilitation Approach to Chronic Facial Paralysis in the COVID-19 Pandemic Scenario: What Role for Electromyography Assessment?

Authors:  Alessandro de Sire; Nicola Marotta; Francesco Agostini; Vera Drago Ferrante; Andrea Demeco; Martina Ferrillo; Maria Teresa Inzitari; Raffaello Pellegrino; Ilaria Russo; Ozden Ozyemisci Taskiran; Andrea Bernetti; Antonio Ammendolia
Journal:  J Pers Med       Date:  2022-03-19
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