Open-source FlexNIRS: A low-cost, wireless and wearable cerebral health tracker

被引:7
|
作者
Wu, Kuan-Cheng [1 ,2 ]
Tamborini, Davide [1 ]
Renna, Marco [1 ]
Peruch, Adriano [1 ]
Huang, Yujing [1 ]
Martin, Alyssa [1 ]
Kaya, Kutlu [1 ]
Starkweather, Zachary [1 ]
Zavriyev, Alexander, I [1 ]
Carp, Stefan A. [1 ]
Salat, David H. [1 ]
Franceschini, Maria Angela [1 ]
机构
[1] Massachusetts Gen Hosp, Athinoula A Martins Ctr Biomed Imaging, 149 13th St, Charlestown, MA 02129 USA
[2] Boston Univ, Dept Biomed Engn, 44 Cummington Mall, Boston, MA 02215 USA
基金
美国国家卫生研究院;
关键词
Cerebral oximetry; NIRS; Community health; Wearable device; Bluetooth low energy; NEAR-INFRARED SPECTROSCOPY; FREQUENCY-DOMAIN; CONTINUOUS-WAVE; HYPERVENTILATION; HEMODYNAMICS; OXYGENATION; DEVICES; SYSTEM; WATER;
D O I
10.1016/j.neuroimage.2022.119216
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Currently, there is great interest in making neuroimaging widely accessible and thus expanding the sampling population for better understanding and preventing diseases. The use of wearable health devices has skyrocketed in recent years, allowing continuous assessment of physiological parameters in patients and research cohorts. While most health wearables monitor the heart, lungs and skeletal muscles, devices targeting the brain are currently lacking. To promote brain health in the general population, we developed a novel, low-cost wireless cerebral oximeter called FlexNIRS. The device has 4 LEDs and 3 photodiode detectors arranged in a symmetric geometry, which allows for a self-calibrated multi-distance method to recover cerebral hemoglobin oxygenation (SO2) at a rate of 100 Hz. The device is powered by a rechargeable battery and uses Bluetooth Low Energy (BLE) for wireless communication. We developed an Android application for portable data collection and real-time analysis and display. Characterization tests in phantoms and human participants show very low noise (noise-equivalent power <70 fW/root Hz) and robustness of SO2 quantification in vivo. The estimated cost is on the order of $50/unit for 1000 units, and our goal is to share the device with the research community following an open-source model. The low cost, ease-of-use, smart-phone readiness, accurate SO2 quantification, real time data quality feedback, and long battery life make prolonged monitoring feasible in low resource settings, including typically medically underserved communities, and enable new community and telehealth applications.
引用
收藏
页数:12
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