Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo ngu-Yiling Liu

Uyilo olubizwa ngokuba yi-Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo olwenziwe ngu-Yiling Liu ngumwini obekekileyo webhaso elinobukhazikhazi le-2021 Ibhaso Lentsimbi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo loBuxhakaxhaka beMobhayili, iiAplikeyishini kunye neSoftwe.

IntsimbiImobhayili· 2021

Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo

ngu Yiling Liu

Umxhasi: Reinier de Graaf Gasthuis

Umwini we-Ibhaso Lentsimbi le-A' Design Award Kudidi Lwe-Imobhayili

11,147

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#114626

Tyelela iSayithi Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo

Umbhalo Wencwadi: I-Doplor Sleep yiselula yokubeka iliso ubuthongo esetyenziselwa ezibhedlele. Le application ishicilela izandi zokusingqongileyo ngemakrofoni yefowuni ekrelekrele. Ii-algorithms ziye zihlele isandi ngasinye kwiindidi ezifana nezilarhamlisi zonyango, intetho, izandi eziqhelekileyo kunye nokugquma. Idatha yobuthongo iqokelelwa kwisixhobo sokulandelela ubuthongo esidibanisiweyo yaza yadityaniswa nedatha yesandi kwingxelo yemihla ngemihla. Imizobo elula ibonisa amanqanaba ezandi kunye namanqanaba obuthongo kwixesha elinye. Injongo kukwenza izigulane kunye nabasebenzi bezonyango baqonde ukuba ingxolo ibangela ubuthongo obungeloneliyo ezibhedlele.

Ukuqatshelwa

Malunga ne-Ibhaso Lentsimbi le-A' Design Award

Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo ngumphumeleli weIbhaso Lentsimbi le-A' Design Award, ukuqatshelwa okuhlonitshwayo okunikwa imiyilo elungileyo eyanelisa iimfuno zobungcali neemveliso ezilindelekileyo kwimveliso ezicwangciswe kakuhle. Abaphumeleleyo beNtsimbi babonisa ubuchule obukhulu, ubuchule obuphezulu, ukuqonda kwengcali namandla okuyila abayili babo. Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo iyathenjwa ukuba ibe yimveliso exatyiswa kakhulu, edunyiswayo nethandwayo esebenzayo neyinto entsha. Lo myilo uphumeleleyo weIbhaso Lentsimbi le-A' Design Award udibanisa iindlela ezilungileyo kakhulu zemboleko kwaye unezimpawu zobuchwephesha ezifanelekileyo ezidityaniswe nolwazi netalente. Doplor Sleep Isicelo Esiphambili Sokusebenza: Iselula Yokubeka Iliso Ubuthongo iyahlonelwa ngenxa yenkcukacha yayo kwaye yacwangciselwa ukunika uphuculo lomgangatho wobomi olunceda ukwenza ihlabathi libe yindawo engcono.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: The mobile application currently operates on Android devices, such as Android phones and devices.
Iithegi: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Ubuchwepheshe Bokuvelisa: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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 Beprojekthi: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Ukuhamba Komsebenzi: 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 Eqela: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Amagunya Emifanekiso: 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