Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe e Yiling Liu

O le mamanu Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe e Yiling Liu o se manumalo maualuga tele o le fa'ailoga mamalu 2021 A' Design Award Uʻamea i le Vaega Tauva Mamanu Fe'avea'i.

UʻameaFe'avea'i· 2021

Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe

na mamanuina e Yiling Liu

Tagata Fa'atau: Reinier de Graaf Gasthuis

Manumalo o le A' Design Award Uʻamea i le Vaega Fe'avea'i

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Manumalo Fa'ailoga Fa'amaonia

Fa'amaonia le Tulaga o le Fa'ailoga mo #114626

Asiasi i le Saite Va'ai i le A' Design Award Fa'asalalauga Pailesi o le Fa'ailoga

Lanu

Le Mamanu

E Uiga ia Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe

Tusitusiga o le Tusi: O le Doplor Sleep ose polokalame mo le mataituina o le moe mo le faaaogaina i falemai. E faamauina e le polokalame leo o le siosiomaga e ala i le microphone o se smartphone. Ona faavasegaina lea e algorithms leo taitasi i vasega e pei o taalili faafomai, tautalaga, leo faafuasei ma tulimuia. O faʻamaumauga o le moe e aoina mai se mea faʻamauina moe fesoʻotaʻi ma faʻafefiloi ma faʻamaumauga leo i totonu o se lipoti o aso taʻitasi. O ata faʻamatala faigofie e faʻaalia ai le maualuga o leo ma vaega o le moe i luga o le laina taimi e tasi. O le sini o le faʻaeʻeina o le malamalama o maʻi ma le aufaigaluega faafomai i le pisapisao o se mafuaaga o le le lelei o le moe i falemai.

Le Fa'ailogaina

E Uiga i le A' Design Award Uʻamea

O le A' Design Award Uʻamea na manumalo ai Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe, o se faamaoniga mamalu e tuuina atu i mamanu lelei e faataunuu ai manaʻoga faapolofesa ma pisinisi e faamoemoeina mai galuega ua mamanuina lelei. O ē manumalo i le Uʻamea e faaalia ai le tomai tele, le faapitoa maualuga, le malamalama o tagata poto ma le mafai fatufatuaʻi o ē na faia. E faamoemoeina Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe e avea ma mea ua matuā vivii, mataʻina ma pelepelea e aogā ma fou. O lenei mamanu na manumalo i le A' Design Award Uʻamea e tuufaatasia ai faiga sili o le pisinisi ma e iai uiga faatekonolosi mafai ua fesoʻotaʻi ma le poto ma le taleni. Ona o lona faatuatuaina, e tatau ai Doplor Sleep Galuega Autu: Polokalame Feaveai mo le Mataituina o le Moe ona faaaloalogia ma ua mamanuina e tuuina mai ai faaleleiga o le olaga e fesoasoani e faia ai e le lalolagi se nofoaga e sili atu ona lelei.

I Tua o le Mamanu

Pepa Fa'asalalau

Fa'amaoniaga, sui o le 'au ma fa'amatalaga fa'atekinisi na saunia e le tagata mamanu.

Uiga Fa'apitoa: 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.
Fua & Fa'apipi'i: The mobile application currently operates on Android devices, such as Android phones and devices.
Fa'ailoga: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Tekonolosi Gaosiga: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Lu'itau o le Mamanu: 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.
Su'esu'ega: 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.
Fa'aosofia: 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.
Umi o le Poloketi: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Fa'agasologa o Galuega: 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.
Sui o le 'Au: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Fa'aaloaloga o Ata: 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