Designet Doplor Sleep Søvnovervåkende mobilapplikasjon av Yiling Liu er en høyt verdsatt vinner av den svært prestisjetunge 2021 A' Design Award i Jern i konkurransekategorien Mobilteknologi, applikasjoner og programvaredesign.
JernMobil· 2021
Doplor Sleep Søvnovervåkende mobilapplikasjon
av Yiling Liu
Klient: Reinier de Graaf Gasthuis
Vinner av A' Design Award i Jern i kategorien Mobil
Verifisert prisvinner
Verifiser prisstatus for #114626Designet
Om Doplor Sleep Søvnovervåkende mobilapplikasjon
Doplor Sleep er en søvnovervåkingsapplikasjon for sykehusbruk. Applikasjonen registrerer lyder fra omgivelsene med mikrofonen på en smarttelefon. Algoritmer klassifiserer deretter hver lyd i kategorier som medisinske alarmer, tale, tilfeldige lyder og snorking. Søvndata samles inn fra en tilkoblet søvnsporer og kombineres med lyddataene i en daglig rapport. Enkle illustrasjoner viser lydnivåer og søvnstadier på én tidslinje. Målet er å gjøre pasienter og helsepersonell oppmerksomme på støy som en årsak til dårlig søvn på sykehus.
Anerkjennelsen
Om A' Design Award i Jern
Doplor Sleep Søvnovervåkende mobilapplikasjon er vinner av A' Design Award i Jern, en prestisjefylt anerkjennelse som tildeles gode design som oppfyller de profesjonelle og industrielle kravene man forventer av veldesignede skaperverk. Jernvinnere viser stor dyktighet, høy spesialisering, ekspertforståelse og kreativ kapasitet hos skaperne. Doplor Sleep Søvnovervåkende mobilapplikasjon forventes å være et høyt ansett, beundret og verdsatt skaperverk som er praktisk og nyskapende. Dette designet, som har vunnet A' Design Award i Jern, integrerer bransjens beste praksis og har kompetente tekniske egenskaper knyttet til kunnskap og talent. Doplor Sleep Søvnovervåkende mobilapplikasjon respekteres for sin grundighet og er utformet for å gi forbedringer i livskvalitet som bidrar til å gjøre verden til et bedre sted.
Bak designet
Pressepakke
Krediteringer, teammedlemmer og tekniske detaljer levert av designeren.
- Unike egenskaper
- 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.
- Dimensjoner og emballasje
- The mobile application currently operates on Android devices, such as Android phones and devices.
- Stikkord
- Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
- Produksjonsteknologi
- The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
- Designutfordring
- 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.
- Forskning
- 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. - Inspirasjon
- 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.
- Prosjektvarighet
- The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
- Driftsflyt
- 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.
- Teammedlemmer
- Yiling Liu
Elif Özcan
Jered Vroon
Daan Kamphuis - Bildekreditering
- 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
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