Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso nataon'i Yiling Liu

Ny endrika Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso nataon'i Yiling Liu dia mpandresy sarobidy amin'ny 2021 A' Design Award Vy amin'ny Sokajin'ny Fifanintsanana Famolavolana Teknolojia Finday, Fampiharana ary Rindrambaiko.

VyFinday· 2021

Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso

nataon'i Yiling Liu

Mpanjifa: Reinier de Graaf Gasthuis

Mpandresy A' Design Award Vy amin'ny Sokajy Finday

10,713

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #114626

Tsidiho ny Tranonkala Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso

Ny Doplor Sleep dia fandaharana finday fanaraha-maso ny torimaso ho an'ny fampiasana ao amin'ny hopitaly. Ny fandaharana dia mandray an-tsoratra ny feo manodidina amin'ny alalan'ny mikrô an'ny finday. Avy eo, ny algorithms dia mizara ny feo tsirairay ho sokajy toy ny alarma ara-pitsaboana, resaka, feo tampoka ary fikorontsana. Ny angon-drakitra momba ny torimaso dia angonina avy amin'ny fitaovana fanaraha-maso torimaso mifandray, ary ampiarahina amin'ny angon-drakitra feo ao anaty tatitra isan'andro. Sary tsotra no maneho ny haavon'ny feo sy ny dingan'ny torimaso amin'ny fotoana iray ihany. Ny tanjona dia ny hampahafantatra ireo marary sy ny mpiasa ara-pitsaboana fa ny tabataba dia iray amin'ireo antony mahatonga ny torimaso tsy tafita tsara ao amin'ny hopitaly.

Ny Fankasitrahana

Momba ny A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Doplor Sleep Fandaharana Finday fanaraha-maso ny Torimaso dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: The mobile application currently operates on Android devices, such as Android phones and devices.
Marika: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Teknolojia Famokarana: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Fizotr'asa: 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.
Mpikambana ao amin'ny Ekipa: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Loharanon-tsary: 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