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Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci daga Yiling Liu

Zane Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci daga Yiling Liu mai nasara ne mai daraja sosai na 2021 Kyautar A' Design Award ta Baƙin Ƙarfe a Rukunin Gasar Wayar Hannu.


Baƙin ƘarfeWayar Hannu· 2021

Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci

daga Yiling Liu

Abokin Ciniki: Reinier de Graaf Gasthuis

Mai Nasarar Kyautar A' Design Award ta Baƙin Ƙarfe a Rukunin Wayar Hannu

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Ƙirar

Game da Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci

Doplor Sleep aikace-aikace ne na sa ido kan barci wanda ake amfani da shi a asibiti. Aikace-aikacen yana rikodin sautunan muhalli ta amfani da makirifo na wayar hannu. Sannan algorithms suna rarraba kowane sauti zuwa rukuni-rukuni kamar su ƙararrawar likita, magana, sautuka na banza da kuma minshari. Ana tattara bayanan barci daga na'urar bin diddigin barci da aka haɗa, sannan a haɗa su da bayanan sauti a cikin rahoto na yau da kullum. Zane-zane masu sauƙi suna nuna matakan sauti da matakan barci a kan layin lokaci guda. Manufar ita ce a wayar da kan marasa lafiya da ma'aikatan lafiya game da hayaniya a matsayin sanadin rashin barci mai kyau a asibitoci.

Amincewa

Game da Kyautar A' Design Award ta Baƙin Ƙarfe

Zanen Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci ya lashe Kyautar A' Design Award ta Baƙin Ƙarfe, wata karramawa mai daraja da ake bai wa kyawawan zane-zane waɗanda ke cika buƙatun ƙwararru da masana'antu da ake tsammani daga ƙirƙire-ƙirƙire da aka tsara da kyau. Waɗanda suka lashe kyautar Baƙin Ƙarfe suna nuna babban ƙwarewa, ƙwarewa ta musamman, fahimtar ƙwararru da ikon ƙirƙira na masu ƙirƙirar su. Ana sa ran zanen Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci ya zama ƙirƙira da ake girmamawa sosai, ake sha'awa da ƙauna wacce ke da amfani kuma mai sababbin abubuwa. Wannan zane da ya lashe Kyautar A' Design Award ta Baƙin Ƙarfe yana haɗa mafi kyawun ayyukan fannin kuma yana da halayen fasaha masu cancanta da ke da alaƙa da sanin yadda da baiwa. Ana girmama zanen Doplor Sleep Aikace-aikacen Wayar Hannu na Sa Ido kan Barci saboda cikakkiyar kulawarsa kuma an tsara shi don ba da ingantuwar rayuwa da ke taimakawa wajen mai da duniya wuri mafi kyau.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman
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.
Girma da Fakitin
The mobile application currently operates on Android devices, such as Android phones and devices.
Kalmomin Alama
Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Fasahar Samarwa
The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Ƙalubalen Zane
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.
Bincike
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.
Wahayi
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.
Tsawon Lokacin Aikin
The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Tsarin Aiki
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.
Mambobin Ƙungiya
Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Godiyar Hotuna
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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