Raspberry Pi-based Decubitus Reducing Mattress with Air Pressure Monitoring System and Air Leaks Detector

被引:1
|
作者
Pranjoto, Hartono [1 ]
Sarwono, William Chandra [1 ]
Miyata, Andrew Febrian [1 ]
Agustine, Lanny [1 ]
机构
[1] Widya Mandala Catholic Univ Surabaya, Elect Engn Dept, Surabaya, Indonesia
关键词
Decubitus; Mattress Airbags; Wavelike Contour; Leakage; Air Pressure;
D O I
10.1109/IC2IE53219.2021.9649373
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Decubitus ulcers appear when the skin receives intense pressure for a short time or mild pressure for a longer time. Currently, nurses assist immobilized patients to change their position every 2 hours to avoid decubitus ulcers. Another option is using the pressure-reducing mattress. This mattress has the feature to change the pressure strength, but the air pressure and leakage are unknown. Both of these problems will be overcome by the automatic mattress developed in this study. The developed mattress uses gas pressure sensors, a Raspberry Pi, solenoid valves, and an AC air pump. The mattress pumping process is controlled based on the air pressure from 0.7 to 2.1 PSI in 3.5 minutes for each airbag group. The airbags are controlled to form wavelike contours with the feedback from the gas pressure sensors. A prolonged period to reach maximum pressure indicates the air leaks. The testing result shows that the control system can maintain the pressure of the airbag from 0.7 to 2.1 PSI accurately during the pumping process, with or without load on the mat. The accuracy of the pumping duration for each airbag group is 96.31% from the 3.5 minutes goal and gives no meaningful effect to skin pressure.
引用
收藏
页码:418 / 423
页数:6
相关论文
共 50 条
  • [21] Cardiopulmonary Coupling Analysis Using Home Sleep Monitoring System Based on Air Mattress
    Jong-Uk Park
    Erdenebayar Urtnasan
    Eun-Yeon Joo
    Kyoung-Joung Lee
    Journal of Medical Systems, 2017, 41
  • [22] Communication System on Wireless Sensor Networks using Raspberry Pi and Arduino for Monitoring Gas of Air Pollution
    Misbah
    Astutik, Rini Puji
    Eliyani
    Winarno, Hendra Ari
    Muklish, Andy
    Andesta, Deny
    2018 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA 2018), 2018, : 27 - 32
  • [23] Raspberry-Pi based system for propofol monitoring
    Stradolini, Francesca
    Tuoheti, Abuduwaili
    Kilic, Tugba
    Demarchi, Danilo
    Carrara, Sandro
    INTEGRATION-THE VLSI JOURNAL, 2018, 63 : 213 - 219
  • [24] Novel surgical system for reducing lung tissue and preventing air leaks
    Vallières, E
    Gonzalez, X
    Pedersen, KM
    Sears, GK
    Springmeyer, SC
    ANNALS OF THORACIC SURGERY, 2003, 76 (06): : 2071 - 2074
  • [25] Raspberry Pi-Based Data Archival System for Electroencephalogram Signals From the SedLine Root Device
    Suresha, Pradyumna B.
    Robichaux, Chad J.
    Cassim, Tuan Z.
    Garcia, Paul S.
    Clifford, Gari D.
    ANESTHESIA AND ANALGESIA, 2022, 134 (02): : 380 - 388
  • [26] Development of a Compact-Sized Biodigester for Pig Manure and Organic Wastes with Raspberry Pi-Based Temperature, Pressure, and pH Level Monitoring
    Agpangan, R. J.
    Mercado, A. T.
    San Gabriel, R. C.
    Tiu, D. A.
    Magwili, G. V.
    Pacis, M. C.
    Santiago, R. V. M.
    2018 IEEE REGION TEN SYMPOSIUM (TENSYMP), 2018, : 169 - 173
  • [27] Raspberry Pi-based wireless automatic assistance control system used by health center staff
    Perez-Siguas, Rosa
    Matta-Solis, Eduardo
    Matta-Solis, Hernan
    Matta-Zamudio, Lourdes
    INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 2023, 10 (06): : 1 - 7
  • [28] Wireless Intracranial Pressure Monitoring System Based on an Air Pressure Sensor
    Wu, Zeliang
    Jiang, Hanjun
    Guol, Yanshu
    Zhang, Chun
    Jia, Wen
    Wang, Zhihua
    2017 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2017,
  • [29] A Raspberry Pi-Based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram
    Dhillon, Navjodh Singh
    Sutandi, Agustinus
    Vishwanath, Manoj
    Lim, Miranda M.
    Cao, Hung
    Si, Dong
    SENSORS, 2021, 21 (08)
  • [30] A low-cost Raspberry PI-based vision system for upper-limb prosthetics
    Roy, Rinku
    Nazarpour, Kianoush
    2020 27TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2020,