Mobility monitoring using smart technologies for Parkinson's disease in free-living environment

被引:11
作者
Son, Heesook [1 ]
Park, Won Seok [2 ]
Kim, Hyerang [1 ]
机构
[1] Chung Ang Univ, Red Cross Coll Nursing, 84 Heukseok Ro, Seoul 06974, South Korea
[2] Chung Ang Univ, Subject Informat Serv Team, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Free-living environment; Mobility monitoring; Monitoring system; Sensors; Technology; Parkinson's disease; AMBULATORY ACTIVITY DECLINE; MOTOR SYMPTOMS; PHYSICAL-ACTIVITY; GAIT ASSESSMENT; SYSTEM; WORN; BALANCE; PEOPLE; FALLS; PATHOPHYSIOLOGY;
D O I
10.1016/j.colegn.2017.11.005
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Background: Technological advances in the monitoring, intervention, and rehabilitation of Parkinson's disease have increased dramatically in recent decades. Integrating such technologies into free-living environments ensures continuous monitoring of patients' symptomatic movement for better assessment and provision of quality care. Aim: To review studies testing the feasibility and usability of technology for continuous mobility monitoring among patients with Parkinson's disease in free-living environments. Methods: Using electronic databases, 31 original studies were identified. We classified the mobility monitoring devices and systems used in the feasibility tests for monitoring Parkinson's disease during daily activities in free-living environments. Findings: The choice of technology for Parkinson's disease management varied in its advantages, including cost, usability, design and functionality, or quality of information. The major developments in home monitoring approaches can be classified as: (1) wearable sensors only; (2) smartphone applications; (3) web-based applications combined with wearable devices; and (4) ambient sensors combined with wearable devices. The findings from this review suggest that mobility monitoring devices are highly feasible for monitoring the daily activities of patients in a habitual free-living environment. However, there are still relatively few studies testing the feasibility and effectiveness of such devices in free-living environments. Conclusions: Experimental studies seeking to validate monitoring systems in unstructured real-life environments remain limited. However, the major findings of this study indicate that new technologies can be useful and supportive tools for Parkinson's disease related mobility monitoring. The use of these technologies for Parkinson's disease management may provide qualified clinical evidence and improve clinical decision-making and quality of care. (C) 2017 Australian College of Nursing Ltd. Published by Elsevier Ltd.
引用
收藏
页码:549 / 560
页数:12
相关论文
共 50 条
  • [21] Assistive Devices for Personal Mobility in Parkinson's Disease: A Systematic Review of the Literature
    Garcia-Bustillo, Alvaro
    Valinas-Sieiro, Florita
    Allende-Rio, Marta
    Gonzalez-Santos, Josefa
    Cubo, Esther
    MOVEMENT DISORDERS CLINICAL PRACTICE, 2022, 9 (08): : 1040 - 1046
  • [22] A comprehensive Movement and Motion training program improves mobility in Parkinson's disease
    Krishnamurthi, Narayanan
    Murphey, Claudia
    Driver-Dunckley, Erika
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2020, 32 (04) : 633 - 643
  • [23] Using Cadence to Study Free-Living Ambulatory Behaviour
    Tudor-Locke, Catrine
    Rowe, David A.
    SPORTS MEDICINE, 2012, 42 (05) : 381 - 398
  • [24] The Architecture of the System for Monitoring the Status in Patients with Parkinson's Disease Using Mobile Technologies
    Yulia, Shichkina
    Galina, Kataeva
    Yulia, Irishina
    Elizaveta, Stanevich
    INTELLIGENT DISTRIBUTED COMPUTING XIII, 2020, 868 : 531 - 540
  • [25] Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors
    Boissy, Patrick
    Blamoutier, Margaux
    Briere, Simon
    Duval, Christian
    FRONTIERS IN PUBLIC HEALTH, 2018, 6
  • [26] Comparison of Pedometer and Accelerometer Derived Steps in Older Individuals With Parkinson's Disease or Osteoporosis Under Free-living Conditions
    Wallen, Martin Benka
    Dohrn, Ing-Mari
    Stahle, Agneta
    Franzen, Erika
    Hagstromer, Maria
    JOURNAL OF AGING AND PHYSICAL ACTIVITY, 2014, 22 (04) : 550 - 556
  • [27] Quantifying shoulder motion in the free-living environment using wearable inertial measurement units: Challenges and recommendations
    Cain, Stephen M.
    Morrow, Melissa M. B.
    JOURNAL OF BIOMECHANICS, 2025, 182
  • [28] Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review
    Giannakopoulou, Konstantina-Maria
    Roussaki, Ioanna
    Demestichas, Konstantinos
    SENSORS, 2022, 22 (05)
  • [29] Towards pulse rate parametrization during free-living activities using smart wristband
    Rapalis, Andrius
    Petrenas, Andrius
    Simaityte, Monika
    Bailon, Raquel
    Marozas, Vaidotas
    PHYSIOLOGICAL MEASUREMENT, 2018, 39 (05) : 1 - 12
  • [30] Classification, Prediction, and Monitoring of Parkinson's disease using Computer Assisted Technologies: A Comparative Analysis
    Goyal, Jinee
    Khandnor, Padmavati
    Aseri, Trilok Chand
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 96