Doplor Sleep Aplicación móvil de monitorización del sueño de Yiling Liu

El diseño Doplor Sleep Aplicación móvil de monitorización del sueño de Yiling Liu es un ganador altamente estimado del prestigioso 2021 A' Design Award de Hierro en la categoría de competición Diseño Móvil.

HierroMóvil· 2021

Doplor Sleep Aplicación móvil de monitorización del sueño

de Yiling Liu

Cliente: Reinier de Graaf Gasthuis

Ganador del A' Design Award de Hierro en la Categoría Móvil

10,713

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El Diseño

Acerca de Doplor Sleep Aplicación móvil de monitorización del sueño

Doplor Sleep es una aplicación de monitorización del sueño para uso hospitalario. La aplicación registra los sonidos ambientales con el micrófono de un teléfono inteligente. A continuación, unos algoritmos clasifican cada sonido en categorías como alarmas médicas, voces, sonidos incidentales y ronquidos. Los datos del sueño se recopilan mediante un monitor de sueño conectado y se combinan con los datos sonoros en un informe diario. Ilustraciones sencillas muestran los niveles de sonido y las fases del sueño en una misma línea de tiempo. El objetivo es concienciar a los pacientes y al personal médico sobre el ruido como causa de un sueño deficiente en los hospitales.

El Reconocimiento

Acerca del A' Design Award de Hierro

Doplor Sleep Aplicación móvil de monitorización del sueño ha ganado el A' Design Award de Hierro, un reconocimiento prestigioso concedido a buenos diseños que cumplen los requisitos profesionales e industriales que se esperan de creaciones bien diseñadas. Los ganadores de Hierro demuestran gran habilidad, alta especialización, comprensión experta y capacidad creativa de sus creadores. Se espera que Doplor Sleep Aplicación móvil de monitorización del sueño sea una creación muy apreciada, admirada y querida, práctica e innovadora. Este diseño ganador del A' Design Award de Hierro integra las mejores prácticas del sector y tiene características técnicas competentes unidas a conocimiento práctico y talento. Doplor Sleep Aplicación móvil de monitorización del sueño es respetado por su minuciosidad y está concebido para aportar mejoras en la calidad de vida que ayudan a hacer del mundo un lugar mejor.

Detrás del Diseño

Kit de Prensa

Créditos, miembros del equipo y detalles técnicos proporcionados por el diseñador.

Propiedades 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.
Dimensiones y Embalaje: The mobile application currently operates on Android devices, such as Android phones and devices.
Etiquetas: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Tecnología de Producción: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Desafío de Diseño: 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.
Investigación: 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.
Inspiración: 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.
Duración del Proyecto: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Flujo de Operación: 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.
Miembros del Equipo: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Créditos de Imagen: 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