Doplor Sleep Sömnövervakande mobilapplikation av Yiling Liu

Designen Doplor Sleep Sömnövervakande mobilapplikation av Yiling Liu är en högt ansedd vinnare av den mycket prestigefyllda 2021 A' Design Award i Järn i tävlingskategorin Mobilteknik-, Applikations- och Programvarudesign.

JärnMobil· 2021

Doplor Sleep Sömnövervakande mobilapplikation

av Yiling Liu

Klient: Reinier de Graaf Gasthuis

Vinnare av A' Design Award i Järn i kategorin Mobil

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Färger

Designen

Om Doplor Sleep Sömnövervakande mobilapplikation

Doplor Sleep är en sömnövervakningsapplikation för sjukhusbruk. Applikationen spelar in omgivningsljud med hjälp av en smarttelefons mikrofon. Algoritmer klassificerar sedan varje ljud i kategorier såsom medicinska larm, tal, tillfälliga ljud och snarkningar. Sömndata samlas in från en ansluten sömnmätare och kombineras med ljuddata i en daglig rapport. Enkla illustrationer visar ljudnivåer och sömnstadier på en gemensam tidslinje. Syftet är att göra patienter och sjukvårdspersonal medvetna om buller som en orsak till dålig sömn på sjukhus.

Erkännandet

Om A' Design Award i Järn

Doplor Sleep Sömnövervakande mobilapplikation är vinnare av A' Design Award i Järn, ett prestigefyllt erkännande som tilldelas bra designverk som uppfyller de professionella och industriella krav som förväntas av välgjorda skapelser. Järnvinnare visar stor skicklighet, hög specialisering, expertförståelse och skaparnas kreativa förmåga. Doplor Sleep Sömnövervakande mobilapplikation förväntas vara en högt skattad, beundrad och älskad skapelse som är praktisk och innovativ. Detta vinnande verk i A' Design Award i Järn integrerar branschens bästa praxis och har kompetenta tekniska egenskaper kopplade till kunnande och talang. Doplor Sleep Sömnövervakande mobilapplikation respekteras för sin grundlighet och är utformat för att åstadkomma förbättringar av livskvaliteten som hjälper till att göra världen till en bättre plats.

Bakom designen

Presskit

Erkännanden, teammedlemmar och tekniska detaljer tillhandahållna av designern.

Unika 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.
Dimensioner & förpackning: The mobile application currently operates on Android devices, such as Android phones and devices.
Taggar: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Produktionsteknik: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Designutmaning: 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.
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.
Projektlängd: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Arbetsflöde: 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.
Teammedlemmar: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Bildkrediteringar: 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