Doplor Sleep Aplicativo Móvel de Monitorização do Sono por Yiling Liu

O design Doplor Sleep Aplicativo Móvel de Monitorização do Sono por Yiling Liu é um vencedor altamente estimado do prestigioso 2021 A' Design Award de Ferro na Categoria de Competição Design de Tecnologias Móveis, Aplicações e Software.

FerroDispositivo Móvel· 2021

Doplor Sleep Aplicativo Móvel de Monitorização do Sono

por Yiling Liu

Cliente: Reinier de Graaf Gasthuis

Vencedor do A' Design Award de Ferro na Categoria Dispositivo Móvel

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Cores

O Design

Sobre Doplor Sleep Aplicativo Móvel de Monitorização do Sono

O Doplor Sleep é um aplicativo de monitorização do sono para uso hospitalar. O aplicativo grava os sons ambientes através do microfone de um smartphone. Em seguida, algoritmos classificam cada som em categorias como alarmes médicos, fala, sons incidentais e ronco. Os dados do sono são recolhidos de um monitor de sono conectado e combinados com os dados sonoros num relatório diário. Ilustrações simples mostram os níveis de som e as fases do sono numa única linha temporal. O objetivo é conscientizar pacientes e profissionais de saúde sobre o ruído como causa da má qualidade do sono nos hospitais.

O Reconhecimento

Sobre o A' Design Award de Ferro

Doplor Sleep Aplicativo Móvel de Monitorização do Sono conquistou o A' Design Award de Ferro, um reconhecimento prestigiado atribuído a bons designs que cumprem os requisitos profissionais e industriais esperados de criações bem concebidas. Os vencedores do Ferro demonstram grande habilidade, elevada especialização, compreensão especializada e capacidade criativa dos seus criadores. Espera-se que Doplor Sleep Aplicativo Móvel de Monitorização do Sono seja uma criação muito considerada, admirada e estimada, prática e inovadora. Este design vencedor do A' Design Award de Ferro integra as melhores práticas do setor e tem características técnicas competentes associadas a conhecimento especializado e talento. Pela sua minúcia, Doplor Sleep Aplicativo Móvel de Monitorização do Sono merece respeito e destina-se a proporcionar melhorias na qualidade de vida que ajudam a tornar o mundo num lugar melhor.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: 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 Produção: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Fluxo de Operação: 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.
Membros da Equipa: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Créditos de Imagem: 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