Doplor Sleep

Friendly feedback towards a better hospital soundscape for sleep

Master thesis (2020)

Authors

Y. Liu Industrial Design Engineering

Contributors

E. Ozcan Vieira Design Aesthetics - IDE (mentor)
Jered Vroon (mentor)
Daan Kamphuis Reinier de Graaf Gasthuis (coach)
Faculty
Industrial Design Engineering, Industrial Design Engineering
Copyright: © 2020 Yiling Liu
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Published Date

30-09-2020

Language

English

Reuse Rights

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Faculty

Industrial Design Engineering

Abstract

Recently in the Netherlands, researchers have found that sleep duration and quality were suboptimal in the hospital. Evidence proved that many modifiable hospitalrelated factors negatively associate with patients' sleep (JAMA Internal Medicine, 2018). The sound factor is the most significant sleep disturbance in the hospital. In this graduation project, collaborating with Reiner de Graaf hospital and Critical Alarms lab, an information exchange system was proposed to raise awareness of sound as sleep disturbance. The system captures the sound-producing events and visualizes them with visually attractive graphics. In this system, we use the smartphone as the sound captor. The recorded sounds are processed locally on the phone and converted into information such as sound level and the category it belongs to (alarm, speech, incidental sounds, or snore). Fitbit is implemented in the system to collect sleep information. To both patients and medical staff, The Doplor sleep system presents the influence of sound on sleep in a friendly and comprehensive way. During this project, a functioning prototype was developed. We have tested its functionality and user experience with the potential users.