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Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni ndi Yiling Liu

Dizayini ya Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni ndi Yiling Liu ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2021 Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Ukadaulo wa Foni, Mapulogalamu ndi Mapulogalamu a Foni.


ChitsuloFoni· 2021

Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni

ndi Yiling Liu

Kasitomala: Reinier de Graaf Gasthuis

Wopambana pa Mphoto ya Chitsulo ya A' Design Award mu Gawo la Foni

11,147

Mitundu

Kapangidwe

Za Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni

Mawu a M'buku: Doplor Sleep ndi ntchito yoyang'anira tulo yopangidwira kugwiritsidwa ntchito m'zipatala. Ntchitoyi imajambula maphokoso a m'chilengedwe pogwiritsa ntchito maikolofoni a foni ya m'manja. Kenako maalgorivimu amasanja phokoso lililonse m'magulu monga maalamu a zamankhwala, kuyankhula, maphokoso ena, ndi kugona kolira (kukoka mpweya). Deta ya tulo imasonkhanitsidwa kuchokera ku chida chogwirizanitsidwa chotsata tulo ndipo imaphatikizidwa ndi deta ya phokoso mu lipoti la tsiku ndi tsiku. Zithunzithunzi zosavuta zimasonyeza milingo ya phokoso ndi magawo a tulo pa mzere umodzi wa nthawi. Cholinga chake ndi kupangitsa odwala ndi antchito azaumoyo kuzindikira kuti phokoso ndi chimodzi mwa zoyambitsa tulo losakwanira m'zipatala.

Chidziwitso

Za Mphoto ya Chitsulo ya A' Design Award

Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Doplor Sleep Ntchito Yaikulu ya Kaphunziro wa Tulo pa Foni amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.

Kumbuyo kwa Kapangidwe

Katundu wa Atolankhani

Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.

Makhalidwe Apadera
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.
Miyezo ndi Kuphimba
The mobile application currently operates on Android devices, such as Android phones and devices.
Zizindikiro
Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Teknoloji Yopangira
The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Vuto la Dizayini
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.
Kafukufuku
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.
Chilimbikitso
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.
Nthawi ya Polojekiti
The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Mdondomeko ya Ntchito
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.
Mamembala a Gulu
Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Mwini Zithunzi
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

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