Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail by Yiling Liu

Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail by Yiling Liu is a highly esteemed winner of the very prestigious 2021 Duais Iarainn A' Design Award in Dealbhadh Theicneòlasan, Aplacaidean agus Bathar-bog Fòn-làimhe Competition Category.

IarannFòn-làimhe· 2021

Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail

by Yiling Liu

Client: Reinier de Graaf Gasthuis

Duais Iarainn A' Design Award Winner in Fòn-làimhe Category

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The Design

About Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail

Teacsa an Leabhair: Is e Doplor Sleep aplacaid sgrùdadh cadail a chaidh a dhealbhadh airson cleachdadh ann an ospadalan. Bidh an aplacaid a' clàradh fuaimean àrainneachdail le meidhcreafon fòn-làimhe. Bidh algairim an uairsin a' seòrsachadh gach fuaim ann an roinnean leithid rabhaidhean meidigeach, cainnt, fuaimean tuiteamach agus srann. Bithear a' cruinneachadh dàta cadail bho lorgaire cadail ceangailte agus ga cheangal ris an dàta fuaim ann an aithisg làitheil. Bidh dealbhan sìmplidh a' sealltainn ìrean fuaim agus ìrean cadail air aon loidhne-ama. Is e amas na h-aplacaid mothachadh a thogail am measg euslaintich agus luchd-obrach meidigeach mun fhuaim mar adhbhar airson droch chadal ann an ospadalan.

The Recognition

About the Duais Iarainn A' Design Award

Tha Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail air Duais Iarainn A' Design Award a bhuannachadh, aithneachadh urramach a bheirear do dhealbhaidhean math a choinnicheas ris na riatanasan proifeiseanta is gnìomhachais a thathar a' sùileachadh bho chruthachaidhean a chaidh an dealbhadh gu math. Tha buannaichean Iarainn a' nochdadh sgil mhòr, speisealachadh àrd, tuigse eòlaiche agus comas cruthachail an luchd-cruthachaidh. Thathar an dùil gum bi Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail na chruthachadh air a bheil mòran meas, ion-mholta agus gràdhach a tha practaigeach agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Iarainn A' Design Award a' cur nan cleachdaidhean as fheàrr sa ghnìomhachas còmhla agus tha feartan teignigeach comasach aige ceangailte ri eòlas-dèanamh agus tàlant. Tha meas air Doplor Sleep Feart Bunasach: Aip Ghluasadach airson Sgrùdadh Cadail airson a dhùrachd agus chaidh a dhealbhadh gus leasachaidhean càileachd beatha a thoirt seachad a chuidicheas le bhith a' dèanamh an t-saoghail na àite nas fheàrr.

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