Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane ngu-Yiling Liu

Umdwebo Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane ngu-Yiling Liu ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2021 Umklomelo Wensimbi we-A' Design Award Esigabeni Somncintiswano se-Iselula.

InsimbiIselula· 2021

Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane

ngu Yiling Liu

Iklayenti: Reinier de Graaf Gasthuis

Umnqobi we-Umklomelo Wensimbi we-A' Design Award Esigabeni se-Iselula

11,147

Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#114626

Vakashela Isayithi Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane

I-Doplor Sleep iwuhlelo lokulandelela ubuthongo olusetshenziswa ezibhedlela. Lolu hlelo lurekhoda imisindo yendawo esebenzisa i-microphone yeselula. Ama-algorithms bese ahlela umsindo ngamunye ezigabeni ezifana nezinsimbi zezokwelapha eziyaziswayo, inkulumo, imisindo engahleliwe kanye nokugonqoza. Idatha yobuthongo iqoqwa kusuka kudivayisi elandelela ubuthongo exhunyiwe bese ihlanganiswa nedatha yomsindo embikweni wansuku zonke. Imifanekiso elula ikhombisa amazinga omsindo nezigaba zobuthongo kulayini owodwa wesikhathi. Inhloso ukwenza iziguli kanye nabasebenzi bezokwelapha baqaphele ukuthi umsindo ungenye yezimbangela zobuthongo obungeyinhle ezibhedlela.

Ukuqashelwa

Mayelana ne-Umklomelo Wensimbi we-A' Design Award

Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane iwinile uMklomelo Wensimbi we-A' Design Award, ukwaziswa okuhloniphekile okunikezwa imiklamo emihle ehlangabezana nezidingo zobungcweti nezemboni ezilindelekile ezimpahleni ezihlelwe kahle. Abawinile beNsimbi babonisa ikhono elikhulu, ubungcweti obuphezulu, ukuqonda kochwepheshe namandla okudala abadali babo. Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo esebenzayo nenezinto ezintsha. Lo mklamo owinile uMklomelo Wensimbi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu zemboni futhi unezimfanelo zobuchwepheshe ezifanelekile ezihlanganiswe nolwazi nethalente. Doplor Sleep Umsebenzi Oyinhloko Wokulandelela Ubuthongo Kusizindaziso Sekhompyutha Encane iyahlonishwa ngenxa yokucophelela kwayo futhi ihlelelwe ukulethela izinguquko zomgangatho wempilo ezisiza ukwenza umhlaba ube yindawo engcono.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: The mobile application currently operates on Android devices, such as Android phones and devices.
Amathegi: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Ubuchwepheshe Bokukhiqiza: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Ukuhamba Kokusebenza: 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.
Amalungu Eqembu: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Amakhredithi Ezithombe: 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