Doplor Sleep

Sleep Monitoring Mobile Application for Reinier de Graaf Gasthuis

Doplor Sleep is a bedtime monitoring application that takes the environmental noise of the hospital into consideration. The application uses smart algorithms to classify the captured sounds and translates the technical data into user-friendly illustrations and UI. The design has two purposes. The first is to help medical staff and patients be aware of the hospital noise as a sleep-disturbing factor harming people's physical and mental health. The second purpose is for researchers to further investigate the relationship between hospital soundscape and the patient's sleep hygiene.

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Doplor Sleep by Yiling Liu

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Sleep Monitoring Mobile Application by Yiling Liu

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Yiling Liu Doplor Sleep

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Yiling Liu Sleep Monitoring Mobile Application

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Doplor Sleep Sleep Monitoring Mobile Application Press Releases

For Doplor Sleep, find press releases in a variety of languages: English.

Doplor Sleep Sleep Monitoring Mobile Application Media Articles

Ready-to-feature articles on Doplor Sleep are available in these languages: Dutch, English, Hindi, Spanish, Portuguese, Italian, Turkish, Arabic (Standard), Indonesian, German, French, Chinese (Mandarin), Korean, Japanese and Russian, for your convenience.

Unique Properties

Doplor Sleep is a bedtime monitoring application that provides insights into sound disturbances in the hospital. It captures the environmental sounds using the microphone of the smartphone, and the implemented algorithms directed classify the data recorded into different sound source categories, such as medical alarms, speech, incidental sounds, and snoring sounds. Doplor sleep is connected with the Fitbit sleep tracker and retrieves data from Fitbit API to form daily sleep-sound quality reports. As for the UI, we used friendly-looking illustrations to present the data and information, and a creative way of interaction to let users view the dynamic of their sleep status and the acoustical environment throughout the night.

Tags

Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.

Production Technology

The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.

Design Challenge

The first challenge is how to design a sound classification algorithm that could accurately classify the sounds of the hospital. The second one is to investigate how can we present the sound data and sleep data on the same timeline in a user-friendly way.

Project Duration

The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.

Operation Flow

Before going to bed, the user presses the ship-icon button to start recording the environmental sounds. The next morning, the user presses the ship-icon again to stop recording. Then a sleep summary page occurs with information displayed such as sleep quality and sound quality. By Swiping to the left, the next screen occurs and the user sees more details about sees the presence of sounds (loudness levels and classifications) and sleep stages (wake, Light sleep, REM, and Deep sleep) during the whole by moving the boat forward along the river. Here we used boats as a time indicator and a representation of the sleeper, and the river indicating the timeline. The color blocks on the river represent the sleep stages. The icons of picnic, flashlight, rocks, and nose bubble indicate different sound classifications (speech, medical alarms, incidental sounds, and snores). Finally, by swiping to the left again, the user could fill in a short survey on their subjective feelings about sleep quality. The data will then be sent to the medical staff.

Research

Recently in the Netherlands, researchers have found that sleep duration and quality were suboptimal in the hospital. Evidence proved that many modifiable hospital-related factors negatively associated 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 the 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.

Inspiration

Sleep deprivation caused by environmental factors can be fatal to critically ill patients. For example, various noises caused by false medical alarms, activities of hospital staff, conversations, etc. can cause delirium in patients with brain diseases. When it happens, patients are in a state of mental confusion and emotional disruption, which prolongs their hospital stay and, like a vicious circle, disturbs the rest of the other patients. A first-step solution can be creating awareness.

Image Credits

Image #1: Illustrator Yiling Liu, Doplor Sleep Mockup, 2020. Image #2: Illustrator Yiling Liu, Doplor Sleep Phone Mockup, 2020. Image # 3: Illustrator Yiling Liu, Doplor Sleep Tablet Mockup, 2020. Image #4: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020. Image #5: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020. Video Credits: Creator Yiling Liu, Doplor Sleep Showcase, 2020

Project Overview

Doplor Sleep Sleep Monitoring Mobile Application has been a Iron winner in the Mobile Technologies, Applications and Software Design award category in the year 2020 organized by the prestigious A' Design Award & Competition. The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.

Iron Recognition

Yiling Liu was recognized with the coveted Iron A' Design Award in 2021, a testament to excellence of their work Doplor Sleep Sleep Monitoring Mobile Application.

Yiling Liu Press Releases

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Doplor Sleep: Revolutionizing Hospital Sleep Monitoring

Introducing Doplor Sleep, a groundbreaking bedtime monitoring application designed to address sleep disturbances in hospitals, developed by Yiling Liu and team.

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