Doplor Sleep Aplikasi Mobile Pemantauan Bobo by Yiling Liu

Doplor Sleep Aplikasi Mobile Pemantauan Bobo by Yiling Liu is a highly esteemed winner of the very prestigious 2021 A' Design Award Beusi in Sélulér Competition Category.

BeusiSélulér· 2021

Doplor Sleep Aplikasi Mobile Pemantauan Bobo

by Yiling Liu

Client: Reinier de Graaf Gasthuis

A' Design Award Beusi Winner in Sélulér Category

10,713

Verified Award Winner

Verify Award Status for #114626

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Doplor Sleep Aplikasi Mobile Pemantauan Bobo

Doplor Sleep mangrupa aplikasi pamantauan bobo pikeun dipaké di rumah sakit. Aplikasi ieu ngarékam sora lingkungan ngagunakeun mikropon smartphone. Algoritma teras ngaklasifikasikeun unggal sora kana kategori sapertos alarm médis, obrolan, sora insidental, sareng ngoréh. Data bobo dikumpulkeun tina alat palacak bobo anu tosambung, teras digabungkeun sareng data sora dina laporan harian. Ilustrasi anu simpel nunjukkeun tingkat sora sareng tahapan bobo dina hiji garis waktu. Tujuanana nyaéta pikeun ngajadikeun pasién sareng staf médis leuwih sadar kana kabisingan salaku salah sahiji panyabab kualitas bobo anu goréng di rumah sakit.

The Recognition

About the A' Design Award Beusi

Doplor Sleep Aplikasi Mobile Pemantauan Bobo mangrupa juara A' Design Award Beusi, pangakuan anu bergengsi anu dipasihkeun ka desain alus anu minuhan sarat profésional jeung industri anu diharepkeun tina kréasi anu dirarancang alus. Para juara Beusi nunjukkeun kaahlian anu hébat, spésialisasi anu luhur, pamahaman ahli jeung kamampuh kréatif para kréatorna. Doplor Sleep Aplikasi Mobile Pemantauan Bobo diharepkeun jadi kréasi anu dihargaan, dikagumi jeung dipikanyaah anu praktis jeung inovatif. Desain juara A' Design Award Beusi ieu ngalebetkeun prakték pangalusna industri sarta ngabogaan ciri téknis anu mampuh pakait jeung pangweruh praktis jeung bakat. Doplor Sleep Aplikasi Mobile Pemantauan Bobo dihormat pikeun katelitianana sarta dirarancang pikeun méré paningkatan kualitas hirup anu mantuan ngajadikeun dunya tempat nu leuwih hadé.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.
Dimensions & Packaging: The mobile application currently operates on Android devices, such as Android phones and devices.
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.
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.
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.
Team Members: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
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