ninjaNIRS: an open hardware solution for wearable whole-head high-density functional near-infrared spectroscopy.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Oct 2024
Historique:
received: 03 06 2024
revised: 21 08 2024
accepted: 23 08 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 18 10 2024
Statut: epublish

Résumé

Functional near-infrared spectroscopy (fNIRS) technology has been steadily advancing since the first measurements of human brain activity over 30 years ago. Initially, efforts were focused on increasing the channel count of fNIRS systems and then to moving from sparse to high density arrays of sources and detectors, enhancing spatial resolution through overlapping measurements. Over the last ten years, there have been rapid developments in wearable fNIRS systems that place the light sources and detectors on the head as opposed to the original approach of using fiber optics to deliver the light between the hardware and the head. The miniaturization of the electronics and increased computational power continues to permit impressive advances in wearable fNIRS systems. Here we detail our design for a wearable fNIRS system that covers the whole head of an adult human with a high-density array of 56 sources and up to 192 detectors. We provide characterization of the system showing that its performance is among the best in published systems. Additionally, we provide demonstrative images of brain activation during a ball squeezing task. We have released the hardware design to the public, with the hope that the community will build upon our foundational work and drive further advancements.

Identifiants

pubmed: 39421779
doi: 10.1364/BOE.531501
pii: 531501
pmc: PMC11482177
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5625-5644

Informations de copyright

© 2024 Optica Publishing Group.

Déclaration de conflit d'intérêts

AvL is currently consulting for NIRx Medizintechnik GmbH. The authors declare no other conflicts of interest.

Auteurs

W Joseph O'Brien (WJ)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Laura Carlton (L)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Johnathan Muhvich (J)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Sreekanth Kura (S)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Antonio Ortega-Martinez (A)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Jay Dubb (J)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Sudan Duwadi (S)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Eric Hazen (E)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Meryem A Yücel (MA)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Alexander von Lühmann (A)

BIFOLD - Berlin Institute for the Foundations of Learning and Data, Ernst-Reuter Platz 7, 10587 Berlin, Germany.
Intelligent Biomedical Sensing (IBS) Lab, Machine Learning Department, Technical University of Berlin, Marchstr. 23, 10587 Berlin, Germany.

David A Boas (DA)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Bernhard B Zimmermann (BB)

Neurophotonics Center, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Classifications MeSH