Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن by Yiling Liu

Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن by Yiling Liu is a highly esteemed winner of the very prestigious 2021 A' Design Award آسنین انعام in موبائل ٹیکنالوجیز، ایپلیکیشنز ءِ سافٹ ویئر ڈیزائن Competition Category.

آسنموبائل· 2021

Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن

by Yiling Liu

Client: Reinier de Graaf Gasthuis

A' Design Award آسنین انعام Winner in موبائل Category

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Colors

The Design

About Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن

ڈوپلر سلیپ یک ہسپتال ءِ استعمال ءِ واستہ وہ‌دگ نندگ ایپلیکیشن اِنت۔ ایہ ایپلیکیشن سمارٹ فون ءِ مائیکروفون ءَ گِس ماحولی آوازانی ریکارڈ کنت۔ الگورتھمانی بلی ہر یک آواز ءَ طبی الارمانی، گپ ءِ، فرعی آوازانی و خُرمُک ءِ رِند ءَ درجہ‌بندی کنت۔ وہ‌دگ ءِ ڈیٹا یک ملحق شدگ وہ‌دگ ٹریکر ءَ گِس جمع بیت و ہر روچی رپورٹ ءِ تہ آواز ءِ ڈیٹا ءَ گِس ملُک بیت۔ سادہ تصویرانی یک وقت لائن سرا آواز ءِ سطحانی و وہ‌دگ ءِ مرحلانی نشان دیت۔ ہدف اِنت کہ مریضانی و طبی عملہ‌ءَ ہسپتالانی ءَ سرا آواز ءِ باعث کم وہ‌دگ ءِ بابت آگاہ کن اِنت۔

The Recognition

About the A' Design Award آسنین انعام

Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن A' Design Award آسنین انعام ءِ ورگ آ انت، معزز اعتراف کہ آ جوانیں ڈیزائناں دیگ بیت کہ جوانیں ڈولا ڈیزائن کنگ بوتگیں تخلیقاں چہ متوقع پیشہ ورانہ ءُ صنعتی ضرورتاں پورا کننت۔ آسن ءِ ورگ آ وتی خالقاں ءِ مزن مہارت، اعلیٰ ماہری، ماہرانہ سمجھ ءُ تخلیقی صلاحیت پیش کننت۔ Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن چہ امید کنگ بیت کہ آ یک باز قدر کنگ بوتگیں، ساراہگ بوتگیں ءُ پیارکنگ بوتگیں تخلیق بیت کہ عملی ءُ جدت ءِ انت۔ ای ڈیزائن کہ A' Design Award آسنین انعام ءَ برتگ، صنعت ءِ بہترین طریقہ یکجا کنت ءُ علم ءُ صلاحیت گوں جوڑ بوتگیں قابل تکنیکی خصوصیتاں دار انت۔ Doplor Sleep وہ‌دگ نندگ موبائل ایپلیکیشن ءِ سنجیدگی ءِ سببا عزت کنگ بیت ءُ آ زندگی ءِ معیار ءَ بہتری آرگ ءِ پہ جوڑ کنگ بوتگ کہ جہان ءَ جوانتر جاگہ جوڑ کنگ ءَ مدد کنت۔

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: The mobile application currently operates on Android devices, such as Android phones and devices.
Tags: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Production Technology: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Operation Flow: 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.
Team Members: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Image Credits: 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