An in vitro testing system for wrist-worn PPG devices

被引:1
|
作者
Bodwell, Erika [1 ]
Minh Nguyen [1 ]
Fine, Jesse [1 ]
Scott, Kamryn [1 ]
McShane, Michael [1 ,2 ,3 ]
Cote, Gerard L. [1 ,2 ]
机构
[1] Texas A&M Univ, Dept Biomed Engn, College Stn, TX 77843 USA
[2] Texas A&M Univ, Ctr Remote Hlth Technol & Syst, Texas A&M Engn Expt Stn, College Stn, TX 77843 USA
[3] Texas A&M Univ, Dept Mat Sci & Engn, College Stn, TX 77843 USA
基金
美国国家科学基金会;
关键词
Photoplethysmography; Tissue Optics; Tissue Phantom; In Vitro Testing; EPIDERMAL THICKNESS;
D O I
10.1117/12.2607969
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Cardiovascular disease is the leading cause of death in the United States. Thus, much work is being done to develop monitoring technologies to lessen its morbidity and mortality. A common cardiovascular sensing modality is photoplethysmography (PPG), which relates local blood volume to changes in the intensity of light reaching a photodetector after traveling through tissue. Sufficient PPG signal quality from individuals with certain physiologies/anatomies can be difficult to obtain: one such example is the absorbing effect of melanin, causing poor PPG signal from individuals with a dark skin tone. Using optical phantoms, in vitro testing systems can enable device developers to quickly explore device performance under different conditions to help ensure strong performance. Here, we propose a phantom testing system for the in vitro evaluation of PPG. A pump system flows blood phantom through a 3-layer polydimethylsiloxane (PDMS) tissue phantom (mimicking epidermis, dermis, subcutis) of the volar wrist with an inset vessel representing the radial artery. The pump changes pressure to represent pressure throughout the cardiac cycle, and a PPG sensor (660nm) is placed on the tissue phantom. The effect of skin tone is analyzed by using epidermal phantoms with different optical properties representing Fitzpatrick Skin Tone I (3% volume fraction melanosome) and Fitzpatrick Skin Tone III (15% volume fraction melanosome). It was found that the PPG sensor was able to successfully and accurately register the synthetic PPG waveform, and the PPG AC/DC ratio decreased 17.7% when comparing the 3% volume fraction melanosome phantom to the 15% volume fraction melanosome phantom.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Fingerprinting walking using wrist-worn accelerometers
    Koffman, Lily
    Zhang, Yan
    Harezlak, Jaroslaw
    Crainiceanu, Ciprian
    Leroux, Andrew
    GAIT & POSTURE, 2023, 103 : 92 - 98
  • [42] An Integrated Wrist-worn Routine Monitoring System for the Elderly using BSN
    Xu, L.
    Tay, Francis E. H.
    Guo, D. G.
    Yu, L. M.
    Nyan, M. N.
    Chong, F. W.
    Yap, K. L.
    Xu, B.
    2008 5TH INTERNATIONAL SUMMER SCHOOL AND SYMPOSIUM ON MEDICAL DEVICES AND BIOSENSORS, 2008, : 16 - 19
  • [43] A Usable Authentication System Using Wrist-worn Photoplethysmography Sensors on Smartwatches
    Shang, Jiacheng
    Wu, Jie
    2019 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), 2019, : 1 - 9
  • [44] Wearable Capacitive-based Wrist-worn Gesture Sensing System
    Liang, Xiangpeng
    Heidari, Hadi
    Dahiya, Ravinder
    2017 FIRST NEW GENERATION OF CAS (NGCAS), 2017, : 181 - 184
  • [45] Optical wrist-worn device for sleep monitoring
    Renevey, Ph.
    Delgado-Gonzalo, R.
    Lemkaddem, A.
    Proenca, M.
    Lemay, M.
    Sola, J.
    Tarniceriu, A.
    Bertschi, M.
    EMBEC & NBC 2017, 2018, 65 : 615 - 618
  • [46] Designing a Hybrid Energy-Efficient Harvesting System for Head- or Wrist-Worn Healthcare Wearable Devices
    Tohidinejad, Zahra
    Danyali, Saeed
    Valizadeh, Majid
    Seepold, Ralf
    TaheriNejad, Nima
    Haghi, Mostafa
    SENSORS, 2024, 24 (16)
  • [47] Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices
    Mahadevan, Nikhil
    Christakis, Yiorgos
    Di, Junrui
    Bruno, Jonathan
    Zhang, Yao
    Dorsey, E. Ray
    Pigeon, Wilfred R.
    Beck, Lisa A.
    Thomas, Kevin
    Liu, Yaqi
    Wicker, Madisen
    Brooks, Chris
    Kabiri, Nina Shaafi
    Bhangu, Jaspreet
    Northcott, Carrie
    Patel, Shyamal
    NPJ DIGITAL MEDICINE, 2021, 4 (01)
  • [48] Motion UI: Motion-based User Interface for Movable Wrist-worn Devices
    Yu, Saet-Byeol
    Yoon, Hyoseok
    Park, Se-Ho
    Lee, Kyung-Taek
    2017 IEEE 7TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN), 2017, : 265 - 266
  • [49] Accurate and Robust Walking Speed Estimation With Adaptive Regression Models for Wrist-Worn Devices
    Cho, Yunhoon
    Cho, Hyuntae
    Kyung, Chong-Min
    IEEE SENSORS JOURNAL, 2020, 20 (18) : 10744 - 10755
  • [50] Wrist-worn smartwatch and predictive models for seizures
    Pipatpratarnporn, Waroth
    Muangthong, Wichuta
    Jirasakuldej, Suda
    Limotai, Chusak
    EPILEPSIA, 2023, 64 (10) : 2701 - 2713