This paper is in the following e-collection/theme issue:

Theme issue 2019: 20th Anniversary Issue (30) Brain-Machine Interfaces (11)

Published on in Vol 21, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16321, first published .
The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces

The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces

The Ethical and Responsible Development and Application of Advanced Brain Machine Interfaces

Authors of this article:

Andrew David Maynard1 Author Orcid Image ;   Marissa Scragg1 Author Orcid Image
Article Authors Cited by (20) Tweetations (55) Metrics

Journals

  1. Eysenbach G. Celebrating 20 Years of Open Access and Innovation at JMIR Publications. Journal of Medical Internet Research 2019;21(12):e17578 View
  2. Michałowska M, Kowalczyk Ł, Marcinkowska W, Malicki M. Being Outside the Decision-Loop: The Impact of Deep Brain Stimulation and Brain-Computer Interfaces on Autonomy. Analiza i Egzystencja 2021;56:25 View
  3. Pavlov V, Tracey K. Bioelectronic medicine: Preclinical insights and clinical advances. Neuron 2022;110(21):3627 View
  4. Abdelnaby R, Amer S, Mekky J, Mohamed K, Dardeer K, Hassan W, Alafandi B, Elsayed M. Brain Chip Implant: Public’s knowledge, Attitude, and Determinants. A Multi-Country Study, 2021. Open Access Macedonian Journal of Medical Sciences 2022;10(B):2489 View
  5. Tabouy L. Ce que les neurotechnologies soulèvent comme enjeux éthiques et légaux pour la recherche, les neuroscientifiques, les entreprises et la société. Annales des Mines - Réalités industrielles 2021;Août 2021(3):65 View
  6. King B, Read G, Salmon P. The Risks Associated with the Use of Brain-Computer Interfaces: A Systematic Review. International Journal of Human–Computer Interaction 2024;40(2):131 View
  7. Sun Y, Shen A, Sun J, Du C, Chen X, Wang Y, Pei W, Gao X. Minimally Invasive Local-Skull Electrophysiological Modification With Piezoelectric Drill. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022;30:2042 View
  8. Lu C, Xin X. Key stakeholder perceived value’s influence on autonomous vehicles’ privacy and security governance – an evolutionary analysis based on the prospect theory. Asia Pacific Journal of Innovation and Entrepreneurship 2024;18(2):131 View
  9. Bhattacharya S, Bhattacharya K. Brain Computer Interface—Its Possible Clinical Applications. Indian Journal of Surgery 2024 View
  10. Parikh P, Venniyoor A. Neuralink and Brain–Computer Interface—Exciting Times for Artificial Intelligence. South Asian Journal of Cancer 2024;13(01):063 View
  11. Augenstein T, Nagalla D, Mohacey A, Cubillos L, Lee M, Ranganathan R, Krishnan C. A novel virtual robotic platform for controlling six degrees of freedom assistive devices with body-machine interfaces. Computers in Biology and Medicine 2024;178:108778 View
  12. Manero A, Rivera V, Fu Q, Schwartzman J, Prock-Gibbs H, Shah N, Gandhi D, White E, Crawford K, Coathup M. Emerging Medical Technologies and Their Use in Bionic Repair and Human Augmentation. Bioengineering 2024;11(7):695 View
  13. Peethambaran M, Naim M. Moving toward employees' flourishing-at-work, an Indian perspective. Evidence-based HRM: a Global Forum for Empirical Scholarship 2024 View
  14. Gielas A. Wounds and Vulnerabilities. The Participation of Special Operations Forces in Experimental Brain–Computer Interface Research. Cambridge Quarterly of Healthcare Ethics 2024:1 View

Books/Policy Documents

  1. Luckiewicz A. Control, Computer Engineering and Neuroscience. View
  2. M. N, Chandrapadhy P. Comparative Analysis of Digital Consciousness and Human Consciousness. View
  3. Naim M, Peethambaran M. Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation. View
  4. Sahai N, Kumar P, Sharma M. New Technologies in Virtual and Hybrid Events. View
  5. King B, Read G, Salmon P. Brain-Computer Interfaces. View