Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm per Yiling Liu

Lo dissènh Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm per Yiling Liu es un laureat autfo estimfo del prestigfo 2021 A' Design Award de Fèrre dins la Categoria de Competfo Mobil.

FèrreMobil· 2021

Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm

per Yiling Liu

Client : Reinier de Graaf Gasthuis

Laureat del A' Design Award de Fèrre dins la Categoria Mobil

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Lo Concèpte

A prepaus de Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm

Tèxte del Libre: Doplor Sleep es una aplicacion de susvelhança del sòm concebuda per l'usatge ospitalièr. L'aplicacion enregistra los sons ambientals amb lo microfòn d'un smartphone. D'algoritmes classifican puèi cada son en categorias talas coma las alarmas medicalas, la paraula, los sons incidentals e los ronflaments. Las donadas del sòm son culhidas a partir d'un aparelh de tracatge del sòm connectat e combinadas amb las donadas sonoras dins un rapòrt jornalièr. D'illustracions simplas mòstran los nivèls sonòrs e las fasas del sòm sus una sola linha temporala. L'objectiu es de sensibilizar los pacients e lo personal medical al bruch coma causa d'un marrit sòm dins los espitals.

La Reconoissença

A prepaus del A' Design Award de Fèrre

Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm a ganhat la distincion A' Design Award de Fèrre, una reconeissença prestigiosa acordada a de bons designs que respondon a las exigéncias professionalas e industrialas esperadas de creacions plan concebudas. Los ganhaires del Fèrre demòstran una granda abilitat, una nauta especializacion, una comprenedura d'expèrt e la capacitat creativa de lors creators. S'espèra que Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm siá una creacion fòrça considerada, admirada e estimada, practica e innovanta. Aqueste design ganhaire de la distincion A' Design Award de Fèrre integra las melhoras practicas del sector e a de caracteristicas tecnicas competentas ligadas a un saber-far e a un talent. Per son rigor, Doplor Sleep Foncion Primària: Aplicacion Mobila de Susvelhança del Sòm merita lo respècte e es destinat a aportar de melhoraments a la qualitat de la vida que ajudan a far del mond un luòc melhor.

Darrièr lo concèpte

Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: 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 e Embalatge: The mobile application currently operates on Android devices, such as Android phones and devices.
Etiquetas: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Tecnologia de Produccion: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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.
Durada del Projècte: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Flux Operacional: 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.
Membres de l'Equipa: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Crèdits d'Imatges: 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