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A Novel IoT Based Positioning and Shadowing System for Dementia Training

Author

Listed:
  • Lun-Ping Hung

    (Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 111219, Taiwan)

  • Weidong Huang

    (TD School, University of Technology Sydney, 2007 Ultimo, Australia)

  • Jhih-Yu Shih

    (Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 111219, Taiwan)

  • Chien-Liang Liu

    (Dementia Center, Taipei City Hospital, Taipei 10065, Taiwan)

Abstract

A rapid increase in the number of patients with dementia, particularly memory decline or impairment, has led to the loss of self-care ability in more individuals and increases in medical and social costs. Numerous studies, and clinical service experience, have revealed that the intervention of nonpharmacological management for people with dementia is effective in delaying the degeneration caused by dementia. Due to recent rapid developments in information and communications technology, many innovative research and development and cross-domain applications have been effectively used in the dementia care environment. This study proposed a new short-term memory support and cognitive training application technology, a “positioning and shadowing system,” to delay short-term memory degeneration in dementia. Training courses that integrate physical and digital technologies for the indoor location of patients with dementia were constructed using technologies such as Bluetooth Low Energy, fingerprint location algorithm, and short-range wireless communication. The Internet of Things was effectively applied to a clinical training environment for short-term memory. A pilot test verified that the results demonstrated learning effects in cognitive training and that the system can assist medical personnel in training and nursing work. Participants responded with favorable feedback regarding course satisfaction and system usability. This study can be used as a reference for future digital smart cognitive training that allows observation of the performance of patients with dementia in activities of daily living.

Suggested Citation

  • Lun-Ping Hung & Weidong Huang & Jhih-Yu Shih & Chien-Liang Liu, 2021. "A Novel IoT Based Positioning and Shadowing System for Dementia Training," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1610-:d:495748
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    References listed on IDEAS

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    1. Guo-Feng Fan & Yan-Hui Guo & Jia-Mei Zheng & Wei-Chiang Hong, 2019. "Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting," Energies, MDPI, vol. 12(5), pages 1-19, March.
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