Posture monitoring in healthcare: a systematic mapping study and taxonomy

被引:5
作者
Camboim, Bruno Dahmer [1 ]
Tavares, Joao Elison da Rosa [1 ]
Tavares, Mauricio Campelo [2 ]
Barbosa, Jorge Luis Victoria [1 ]
机构
[1] Univ Vale Do Rio Dos Sinos Unisinos, Ave Unisinos 950, Sao Leopoldo, RS, Brazil
[2] Contron Sistemas Automat, S Rudi Bonow 275, Pelotas, RS, Brazil
关键词
Healthcare; Internet of things; Machine learning; Posture; Smart environments; IMPACT; INTERVENTION; RECOGNITION; COMFORT;
D O I
10.1007/s11517-023-02851-w
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Palliative treatments for back pain usually include exercise, analgesics, physiotherapy, prostheses, and surgery in severe cases. Technologies for postural monitoring are growing, and they are important in preventing back pain and mitigating permanent damage. Remote work, especially after the COVID-19 pandemic, made people spend more time than usual in chairs and environments not certified by the health aspects of work. This research investigated through a Systematic Mapping Study (SMS) contributions in posture monitoring for healthcare in smart environments, including the different methods to obtain the posture, the limitations, and the target audience of the proposed models. The SMS was conducted in eight databases, including articles from January 2012 to March 2022. The initial search yielded 3161 articles, of which 34 were selected after applying the filtering criteria. Moreover, this study presents the challenges related to posture behavior monitoring, identifying studies and implementations that apply assistive technology for postural monitoring and improving the health and life of remote workers. In addition, three commercial postural devices are presented, and what challenges they currently face. Regarding healthcare, results showed a prevalence of using the Internet of Things (IoT) devices such as wireless sensor networks and inertial measurement unit (IMU) sensors. This article also proposes a taxonomy, showing the most used technologies and algorithms for improving posture, besides the posture-monitoring hierarchy classifying into three important branches: (a) Data Collect; (b) Data Transmission; and (c) Data Analysis.
引用
收藏
页码:1887 / 1899
页数:13
相关论文
共 56 条
  • [1] Adochiei FC, 2019, E-HEALTH BIOENG CONF, DOI [10.1109/ehb47216.2019.8970089, 10.1109/ehb47216.2019.8969997]
  • [2] A Proposal of Implementation of Sitting Posture Monitoring System for Wheelchair Utilizing Machine Learning Methods
    Ahmad, Jawad
    Siden, Johan
    Andersson, Henrik
    [J]. SENSORS, 2021, 21 (19)
  • [3] INTERNET-OF-THINGS-BASED SMART ENVIRONMENTS: STATE OF THE ART, TAXONOMY, AND OPEN RESEARCH CHALLENGES
    Ahmed, Ejaz
    Yaqoob, Ibrar
    Gani, Abdullah
    Imran, Muhammad
    Guizani, Mohsen
    [J]. IEEE WIRELESS COMMUNICATIONS, 2016, 23 (05) : 10 - 16
  • [4] Smart-Cover: A real time sitting posture monitoring system
    Anwary, Arif Reza
    Cetinkaya, Deniz
    Vassallo, Michael
    Bouchachia, Hamid
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 2021, 317
  • [5] Real time visualization of asymmetrical sitting posture
    Anwary, Arif Reza
    Bouchachia, Hamid
    Vassallo, Michael
    [J]. 16TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2019),THE 14TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC-2019),THE 9TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY, 2019, 155 : 153 - 160
  • [6] Anwary Arif Reza, 2020, P DAT AN BUS IND WAY, P1, DOI [10.1109/icdabi51230.2020.9325598, DOI 10.1109/ICDABI51230.2020.9325598, 10.1109/ICDABI51230.2020.9325598]
  • [7] Apollo Technical, 2021, AP TECHN ENG TAL SOL
  • [8] Low-Cost Wireless Wearable System for Posture Monitoring
    Ardito, Marilda
    Mascolo, Fabiana
    Valentini, Martina
    Dell'Olio, Francesco
    [J]. ELECTRONICS, 2021, 10 (21)
  • [9] Bibbo D, 2018, 2018 IEEE 20 INT C E, P1, DOI [10.1109/HealthCom.2018.8531165, DOI 10.1109/HEALTHCOM.2018.8531165]
  • [10] Wearable technology for posture monitoring at the workplace
    Bootsman, Rik
    Markopoulos, Panos
    Qi, Qi
    Wang, Qi
    Timmermans, Annick A. A.
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2019, 132 : 99 - 111