Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko ka Yiling Liu

Moralo oa Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko ka Yiling Liu ke mohlodi oa khau e hlomphehang haholo ya 2021 Moputso oa Tšepe oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Theknoloji ya Mehala, Diaplikeishene le Softwere.

TšepeMohala· 2021

Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko

ka Yiling Liu

Moreki: Reinier de Graaf Gasthuis

Mohlodi oa Moputso oa Tšepe oa A' Design Award Mokhahleong oa Mohala

11,147

Mohlodi oa Khau ea Netefaditsweng

Netefatsa Boemo ba Khau bakeng sa #114626

Etela Sebaka Sheba ho A' Design Award Tokollo ya Boraditaba Baeche ya Moputso

Mebala

Moralo

Mabapi le Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko

Mongolo oa Buka: Doplor Sleep ke application ea ho lekola boroko e sebelisoang lipetlele. Application ena e ngola melumo ea tikoloho ka microphone ea smartphone. Li-algorithm li tla arola molumo ka mong ho ea ka mekhahlelo e joalo ka litlhoaeliso tsa bongaka, puo, melumo e sa lebelloang le ho seha. Data ea boroko e bokelloa ho tsoa ho sesebelisoa se hokahaneng sa ho lekola boroko 'me e kopanngoa le data ea molumo tlalehong ea letsatsi le leng le le leng. Litšoantšo tse bonolo li bontša boemo ba molumo le mekhahlelo ea boroko nakong e le 'ngoe. Sepheo ke ho hlokomelisa bakuli le basebeletsi ba bongaka ka molumo joaloka sesosa sa boroko bo sa lokang lipetlele.

Kamohelo

Mabapi le Moputso oa Tšepe oa A' Design Award

Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Doplor Sleep Mosebetsi wa Mantlha: Application ea Mobile ea ho Lekola Boroko e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.

Ka Mora Moralo

Sete ya Boraditaba

Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.

Boleng bo Ikhethang: 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.
Boholo le Phuthelo: The mobile application currently operates on Android devices, such as Android phones and devices.
Lithegi: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Theknoloji ya Tlhahiso: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Phephetso ya Moralo: 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.
Dipatlisiso: 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.
Kgothaletso: 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.
Nako ya Projeke: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Tsamaiso ya Mosebetsi: 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.
Litho tsa Sehlopha: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Litlotla tsa Setshwantsho: 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