<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT03811301</url>
  </required_header>
  <id_info>
    <org_study_id>BrainConnexion</org_study_id>
    <nct_id>NCT03811301</nct_id>
  </id_info>
  <brief_title>[BrainConnexion] - Neurodevice Phase I Trial</brief_title>
  <official_title>Neurodevice Phase I: Wireless Implantable Neurodevice Microsystem for Neuroprosthesis and Neuroscience</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>National Neuroscience Institute</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>Institute of Microelectronics</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Institute of Molecular and Cell Biology</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Institute for Infocomm Research</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Nanyang Technological University</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>National Neuroscience Institute</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>Yes</is_fda_regulated_device>
    <is_us_export>Yes</is_us_export>
  </oversight_info>
  <brief_summary>
    <textblock>
      This study aims to evaluate the safety of a wireless implantable neurodevice microsystem in&#xD;
      tetraplegic patients, as well as the efficacy of the electrodes for long-term recording of&#xD;
      neural activities and the successful control of an external device.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      The goal of this study is to develop a miniaturized wireless implantable neurodevice&#xD;
      microsystem that records and transmits signals from the motor cortex of tetraplegic patients,&#xD;
      bypassing the damaged nervous tissue, to control an external assistive device that restores&#xD;
      some form of independence to patients in terms of communication or mobility.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Active, not recruiting</overall_status>
  <start_date type="Actual">November 21, 2017</start_date>
  <completion_date type="Anticipated">August 27, 2023</completion_date>
  <primary_completion_date type="Actual">January 27, 2023</primary_completion_date>
  <phase>N/A</phase>
  <study_type>Interventional</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <allocation>N/A</allocation>
    <intervention_model>Single Group Assignment</intervention_model>
    <primary_purpose>Other</primary_purpose>
    <masking>None (Open Label)</masking>
  </study_design_info>
  <primary_outcome>
    <measure>The number of serious adverse events (SAEs) and adverse events (AEs) reported per patient 12 months post-implantation.</measure>
    <time_frame>6 months post-implant</time_frame>
    <description>The primary objective of this study is to determine the safety of the device. This will be assessed based on the number of SAEs and AEs reported for each patient during the 12 months post-implantation evaluation. This measure will considered a success if the device is not removed for safety reasons within 12-months after implantation.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>The signal quality of the electrodes for long-term recording of neural signals.</measure>
    <time_frame>Day 1 to Day 365 post-implant</time_frame>
    <description>Signal quality will be measured by the number of channels with identifiable single units tracked across each day for 12 months.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Decoding accuracy per training session.</measure>
    <time_frame>Day 1 to Day 365 post-implant</time_frame>
    <description>Decoding accuracy will be measured in percentage (%).</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Number of successful trials per session</measure>
    <time_frame>Day 1 to Day 365 post-implant</time_frame>
    <description>The number of successful trials per training session will be measured in percentage (%).</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Time taken to complete each trial per session</measure>
    <time_frame>Day 1 to Day 365 post-implant</time_frame>
    <description>This will be measured in seconds (s).</description>
  </secondary_outcome>
  <number_of_arms>1</number_of_arms>
  <enrollment type="Actual">5</enrollment>
  <condition>Tetraplegia</condition>
  <condition>Tetraplegia/Tetraparesis</condition>
  <condition>Spinal Cord Injuries</condition>
  <condition>Amyotrophic Lateral Sclerosis</condition>
  <condition>Motor Neuron Disease</condition>
  <condition>Locked-in Syndrome</condition>
  <condition>Muscular Dystrophies</condition>
  <arm_group>
    <arm_group_label>Interventional</arm_group_label>
    <arm_group_type>Experimental</arm_group_type>
    <description>Wireless Implantable Neurodevice Microsystem</description>
  </arm_group>
  <intervention>
    <intervention_type>Device</intervention_type>
    <intervention_name>BrainConnexion</intervention_name>
    <description>A 4.4mm by 4.2mm electrode array is placed onto the surface of the motor cortex which is then connected to a miniaturized neural recording microsystem that transmits signals wirelessly to control an external assistive device. Neural signals are recorded at least once every week for 12 months or longer.</description>
    <arm_group_label>Interventional</arm_group_label>
    <other_name>Neurodevice</other_name>
    <other_name>NeuroPort</other_name>
  </intervention>
  <eligibility>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          1. 21 years old and older&#xD;
&#xD;
          2. Tetraparesis&#xD;
&#xD;
          3. Written informed consent obtained from the patient or legal representative (in the&#xD;
             event where the patient is unable to provide consent) prior to entry into the study in&#xD;
             accordance with local EC/IRB regulations and/or other application regulations for&#xD;
             surrogate consent.&#xD;
&#xD;
          4. Able to perform the pre-operation Brain Computer Interface training as judged by the&#xD;
             research team.&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          1. Significant medical co-morbidities e.g. cardiac disease&#xD;
&#xD;
          2. Bleeding disorders&#xD;
&#xD;
          3. Any contraindication to surgery&#xD;
&#xD;
          4. Other concomitant intracranial pathologies&#xD;
&#xD;
          5. History of seizures or epilepsy disorder&#xD;
&#xD;
          6. Complications of coagulopathy&#xD;
&#xD;
          7. Surgically unfit&#xD;
&#xD;
          8. Significant psychological issues e.g. Depression&#xD;
&#xD;
          9. Poor psychological support&#xD;
&#xD;
         10. Pregnancy&#xD;
&#xD;
         11. No means of communication&#xD;
&#xD;
         12. Any disease, in the opinion of the Investigator, that is unstable or which could&#xD;
             jeopardise the safety of the patient&#xD;
&#xD;
        If applicable, psychological assessment may be performed prior to selection as the&#xD;
        implantation process will be a long a stressful event, requiring a significant degree of&#xD;
        patient cooperation and resilience.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>21 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <location>
    <facility>
      <name>National Neuroscience Institute</name>
      <address>
        <city>Singapore</city>
        <zip>308433</zip>
        <country>Singapore</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>Singapore</country>
  </location_countries>
  <reference>
    <citation>Libedinsky C, So R, Xu Z, Kyar TK, Ho D, Lim C, Chan L, Chua Y, Yao L, Cheong JH, Lee JH, Vishal KV, Guo Y, Chen ZN, Lim LK, Li P, Liu L, Zou X, Ang KK, Gao Y, Ng WH, Han BS, Chng K, Guan C, Je M, Yen SC. Independent Mobility Achieved through a Wireless Brain-Machine Interface. PLoS One. 2016 Nov 1;11(11):e0165773. doi: 10.1371/journal.pone.0165773. eCollection 2016.</citation>
    <PMID>27802344</PMID>
  </reference>
  <reference>
    <citation>Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen D, Penn RD, Donoghue JP. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature. 2006 Jul 13;442(7099):164-71. doi: 10.1038/nature04970.</citation>
    <PMID>16838014</PMID>
  </reference>
  <reference>
    <citation>Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P, Donoghue JP. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 2012 May 16;485(7398):372-5. doi: 10.1038/nature11076.</citation>
    <PMID>22596161</PMID>
  </reference>
  <reference>
    <citation>Collinger JL, Wodlinger B, Downey JE, Wang W, Tyler-Kabara EC, Weber DJ, McMorland AJ, Velliste M, Boninger ML, Schwartz AB. High-performance neuroprosthetic control by an individual with tetraplegia. Lancet. 2013 Feb 16;381(9866):557-64. doi: 10.1016/S0140-6736(12)61816-9. Epub 2012 Dec 17.</citation>
    <PMID>23253623</PMID>
  </reference>
  <reference>
    <citation>Aflalo T, Kellis S, Klaes C, Lee B, Shi Y, Pejsa K, Shanfield K, Hayes-Jackson S, Aisen M, Heck C, Liu C, Andersen RA. Neurophysiology. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human. Science. 2015 May 22;348(6237):906-10. doi: 10.1126/science.aaa5417.</citation>
    <PMID>25999506</PMID>
  </reference>
  <reference>
    <citation>Schwarz DA, Lebedev MA, Hanson TL, Dimitrov DF, Lehew G, Meloy J, Rajangam S, Subramanian V, Ifft PJ, Li Z, Ramakrishnan A, Tate A, Zhuang KZ, Nicolelis MA. Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nat Methods. 2014 Jun;11(6):670-6. doi: 10.1038/nmeth.2936. Epub 2014 Apr 28.</citation>
    <PMID>24776634</PMID>
  </reference>
  <reference>
    <citation>Yin M, Borton DA, Komar J, Agha N, Lu Y, Li H, Laurens J, Lang Y, Li Q, Bull C, Larson L, Rosler D, Bezard E, Courtine G, Nurmikko AV. Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron. 2014 Dec 17;84(6):1170-82. doi: 10.1016/j.neuron.2014.11.010. Epub 2014 Dec 4.</citation>
    <PMID>25482026</PMID>
  </reference>
  <reference>
    <citation>Zaaroor M, Kosa G, Peri-Eran A, Maharil I, Shoham M, Goldsher D. Morphological study of the spinal canal content for subarachnoid endoscopy. Minim Invasive Neurosurg. 2006 Aug;49(4):220-6. doi: 10.1055/s-2006-948000.</citation>
    <PMID>17041833</PMID>
  </reference>
  <reference>
    <citation>Lee, K., Singh, A., He, J., Massia, S., Kim, B., &amp; Raupp, G. (2004). Polyimide based neural implants with stiffness improvement. Sensors Actuators B Chem,102(1), 67-72. doi: 10.1016/j.snb.2003.10.018.</citation>
  </reference>
  <reference>
    <citation>Cheng, M. Y., Je, M., Tan, K. L., et al. (2013). A low-profile three-dimensional neural probe array using a silicon lead transfer structure. J Micromechanics Microengineering, 23(9), 095013. doi:10.1088/0960-1317/23/9/095013.</citation>
  </reference>
  <reference>
    <citation>Cheng, M. Y., Yao, L., Tan, K. L., Lim, R., Li, P., &amp; Chen, W. (2014). 3D probe array integrated with a front-end 100-channel neural recording ASIC. J Micromechanics Microengineering, 24(12), 125010. doi:10.1088/0960-1317/24/12/125010.</citation>
  </reference>
  <reference>
    <citation>Zou, X., Liu, L., Cheong, J. H., et al. (2013). A 100-Channel 1-mW implantable neural recording IC. IEEE Trans Circuits Syst I Regul Pap, 60(10), 2584-2596. doi:10.1109/TCSI.2013.2249175.</citation>
  </reference>
  <reference>
    <citation>Christopher and Dana Reeve Foundation. Christopher and Dana Reeve Foundation. https://www.christopherreeve.org/. Published 2016.</citation>
  </reference>
  <reference>
    <citation>Technical specifications for short range devices - Issue 1 Rev 7, Apr 2013. https://www.ida.gov.sg/~/media/Files/PCDG/Licensees/StandardsQoS/RadiocomEquipStd/TSSRD.pdf</citation>
  </reference>
  <reference>
    <citation>Liu X, Zhou J, Wang C, et al. An Ultralow-Voltage Sensor Node Processor With Diverse Hardware Acceleration and Cognitive Sampling for Intelligent Sensing. IEEE Trans Circuits Syst II Express Briefs. 2015;62(12):1149-1153. doi:10.1109/TCSII.2015.2468927.</citation>
  </reference>
  <reference>
    <citation>Rebsamen B, Guan C, Zhang H, Wang C, Teo C, Ang MH Jr, Burdet E. A brain controlled wheelchair to navigate in familiar environments. IEEE Trans Neural Syst Rehabil Eng. 2010 Dec;18(6):590-8. doi: 10.1109/TNSRE.2010.2049862. Epub 2010 May 10.</citation>
    <PMID>20460212</PMID>
  </reference>
  <reference>
    <citation>Rosa So, Libedinsky C, Kai Keng Ang, Wee Chiek Clement Lim, Kyaw Kyar Toe, Cuntai Guan. Adaptive decoding using local field potentials in a brain-machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5721-5724. doi: 10.1109/EMBC.2016.7592026.</citation>
    <PMID>28269554</PMID>
  </reference>
  <reference>
    <citation>So RQ, Xu Z, Libedinsky C., Ang KK, Toe KK, Yen SC, Guan CT (2015) Neural Representations of Movement during Brain-Controlled Self-Motion. Conf Proc 7th International IEEE EMBS Conference on Neural Engineering.</citation>
  </reference>
  <reference>
    <citation>Xu Z, Guan CT, So RQ, Ang KK, Toe KK. (2015) Motor Cortical Adaptation Induced by Closed-Loop BCI. Conf Proc 7th International IEEE EMBS Conference on Neural Engineering.</citation>
  </reference>
  <reference>
    <citation>Xu Z, So RQ, Toe KK, Ang KK, Guan C. On the asynchronously continuous control of mobile robot movement by motor cortical spiking activity. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3049-52. doi: 10.1109/EMBC.2014.6944266.</citation>
    <PMID>25570634</PMID>
  </reference>
  <verification_date>November 2022</verification_date>
  <study_first_submitted>December 17, 2018</study_first_submitted>
  <study_first_submitted_qc>January 17, 2019</study_first_submitted_qc>
  <study_first_posted type="Actual">January 22, 2019</study_first_posted>
  <last_update_submitted>May 4, 2023</last_update_submitted>
  <last_update_submitted_qc>May 4, 2023</last_update_submitted_qc>
  <last_update_posted type="Actual">May 6, 2023</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Muscular Dystrophies</mesh_term>
    <mesh_term>Spinal Cord Injuries</mesh_term>
    <mesh_term>Motor Neuron Disease</mesh_term>
    <mesh_term>Amyotrophic Lateral Sclerosis</mesh_term>
    <mesh_term>Quadriplegia</mesh_term>
    <mesh_term>Locked-In Syndrome</mesh_term>
  </condition_browse>
  <patient_data>
    <sharing_ipd>Undecided</sharing_ipd>
  </patient_data>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT03811301
org study id: BrainConnexion
nct id: NCT03811301
lead sponsor: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
has dmc: No
is fda regulated drug: No
is fda regulated device: Yes
is us export: Yes
This study aims to evaluate the safety of a wireless implantable neurodevice microsystem in
      tetraplegic patients, as well as the efficacy of the electrodes for long-term recording of
      neural activities and the successful control of an external device.
The goal of this study is to develop a miniaturized wireless implantable neurodevice
      microsystem that records and transmits signals from the motor cortex of tetraplegic patients,
      bypassing the damaged nervous tissue, to control an external assistive device that restores
      some form of independence to patients in terms of communication or mobility.
allocation: N/A
intervention model: Single Group Assignment
primary purpose: Other
masking: None (Open Label)
measure: The number of serious adverse events (SAEs) and adverse events (AEs) reported per patient 12 months post-implantation.
time frame: 6 months post-implant
description: The primary objective of this study is to determine the safety of the device. This will be assessed based on the number of SAEs and AEs reported for each patient during the 12 months post-implantation evaluation. This measure will considered a success if the device is not removed for safety reasons within 12-months after implantation.
measure: The signal quality of the electrodes for long-term recording of neural signals.
time frame: Day 1 to Day 365 post-implant
description: Signal quality will be measured by the number of channels with identifiable single units tracked across each day for 12 months.
measure: Decoding accuracy per training session.
time frame: Day 1 to Day 365 post-implant
description: Decoding accuracy will be measured in percentage (%).
measure: Number of successful trials per session
time frame: Day 1 to Day 365 post-implant
description: The number of successful trials per training session will be measured in percentage (%).
measure: Time taken to complete each trial per session
time frame: Day 1 to Day 365 post-implant
description: This will be measured in seconds (s).
arm group label: Interventional
arm group type: Experimental
description: Wireless Implantable Neurodevice Microsystem
intervention type: Device
intervention name: BrainConnexion
description: A 4.4mm by 4.2mm electrode array is placed onto the surface of the motor cortex which is then connected to a miniaturized neural recording microsystem that transmits signals wirelessly to control an external assistive device. Neural signals are recorded at least once every week for 12 months or longer.
arm group label: Interventional
other name: Neurodevice
other name: NeuroPort
criteria: 
gender: All
minimum age: 21 Years
maximum age: N/A
healthy volunteers: No
facility: 
country: Singapore
citation: Libedinsky C, So R, Xu Z, Kyar TK, Ho D, Lim C, Chan L, Chua Y, Yao L, Cheong JH, Lee JH, Vishal KV, Guo Y, Chen ZN, Lim LK, Li P, Liu L, Zou X, Ang KK, Gao Y, Ng WH, Han BS, Chng K, Guan C, Je M, Yen SC. Independent Mobility Achieved through a Wireless Brain-Machine Interface. PLoS One. 2016 Nov 1;11(11):e0165773. doi: 10.1371/journal.pone.0165773. eCollection 2016.
PMID: 27802344
citation: Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen D, Penn RD, Donoghue JP. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature. 2006 Jul 13;442(7099):164-71. doi: 10.1038/nature04970.
PMID: 16838014
citation: Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P, Donoghue JP. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 2012 May 16;485(7398):372-5. doi: 10.1038/nature11076.
PMID: 22596161
citation: Collinger JL, Wodlinger B, Downey JE, Wang W, Tyler-Kabara EC, Weber DJ, McMorland AJ, Velliste M, Boninger ML, Schwartz AB. High-performance neuroprosthetic control by an individual with tetraplegia. Lancet. 2013 Feb 16;381(9866):557-64. doi: 10.1016/S0140-6736(12)61816-9. Epub 2012 Dec 17.
PMID: 23253623
citation: Aflalo T, Kellis S, Klaes C, Lee B, Shi Y, Pejsa K, Shanfield K, Hayes-Jackson S, Aisen M, Heck C, Liu C, Andersen RA. Neurophysiology. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human. Science. 2015 May 22;348(6237):906-10. doi: 10.1126/science.aaa5417.
PMID: 25999506
citation: Schwarz DA, Lebedev MA, Hanson TL, Dimitrov DF, Lehew G, Meloy J, Rajangam S, Subramanian V, Ifft PJ, Li Z, Ramakrishnan A, Tate A, Zhuang KZ, Nicolelis MA. Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nat Methods. 2014 Jun;11(6):670-6. doi: 10.1038/nmeth.2936. Epub 2014 Apr 28.
PMID: 24776634
citation: Yin M, Borton DA, Komar J, Agha N, Lu Y, Li H, Laurens J, Lang Y, Li Q, Bull C, Larson L, Rosler D, Bezard E, Courtine G, Nurmikko AV. Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron. 2014 Dec 17;84(6):1170-82. doi: 10.1016/j.neuron.2014.11.010. Epub 2014 Dec 4.
PMID: 25482026
citation: Zaaroor M, Kosa G, Peri-Eran A, Maharil I, Shoham M, Goldsher D. Morphological study of the spinal canal content for subarachnoid endoscopy. Minim Invasive Neurosurg. 2006 Aug;49(4):220-6. doi: 10.1055/s-2006-948000.
PMID: 17041833
citation: Lee, K., Singh, A., He, J., Massia, S., Kim, B., & Raupp, G. (2004). Polyimide based neural implants with stiffness improvement. Sensors Actuators B Chem,102(1), 67-72. doi: 10.1016/j.snb.2003.10.018.
citation: Cheng, M. Y., Je, M., Tan, K. L., et al. (2013). A low-profile three-dimensional neural probe array using a silicon lead transfer structure. J Micromechanics Microengineering, 23(9), 095013. doi:10.1088/0960-1317/23/9/095013.
citation: Cheng, M. Y., Yao, L., Tan, K. L., Lim, R., Li, P., & Chen, W. (2014). 3D probe array integrated with a front-end 100-channel neural recording ASIC. J Micromechanics Microengineering, 24(12), 125010. doi:10.1088/0960-1317/24/12/125010.
citation: Zou, X., Liu, L., Cheong, J. H., et al. (2013). A 100-Channel 1-mW implantable neural recording IC. IEEE Trans Circuits Syst I Regul Pap, 60(10), 2584-2596. doi:10.1109/TCSI.2013.2249175.
citation: Christopher and Dana Reeve Foundation. Christopher and Dana Reeve Foundation. https://www.christopherreeve.org/. Published 2016.
citation: Technical specifications for short range devices - Issue 1 Rev 7, Apr 2013. https://www.ida.gov.sg/~/media/Files/PCDG/Licensees/StandardsQoS/RadiocomEquipStd/TSSRD.pdf
citation: Liu X, Zhou J, Wang C, et al. An Ultralow-Voltage Sensor Node Processor With Diverse Hardware Acceleration and Cognitive Sampling for Intelligent Sensing. IEEE Trans Circuits Syst II Express Briefs. 2015;62(12):1149-1153. doi:10.1109/TCSII.2015.2468927.
citation: Rebsamen B, Guan C, Zhang H, Wang C, Teo C, Ang MH Jr, Burdet E. A brain controlled wheelchair to navigate in familiar environments. IEEE Trans Neural Syst Rehabil Eng. 2010 Dec;18(6):590-8. doi: 10.1109/TNSRE.2010.2049862. Epub 2010 May 10.
PMID: 20460212
citation: Rosa So, Libedinsky C, Kai Keng Ang, Wee Chiek Clement Lim, Kyaw Kyar Toe, Cuntai Guan. Adaptive decoding using local field potentials in a brain-machine interface. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5721-5724. doi: 10.1109/EMBC.2016.7592026.
PMID: 28269554
citation: So RQ, Xu Z, Libedinsky C., Ang KK, Toe KK, Yen SC, Guan CT (2015) Neural Representations of Movement during Brain-Controlled Self-Motion. Conf Proc 7th International IEEE EMBS Conference on Neural Engineering.
citation: Xu Z, Guan CT, So RQ, Ang KK, Toe KK. (2015) Motor Cortical Adaptation Induced by Closed-Loop BCI. Conf Proc 7th International IEEE EMBS Conference on Neural Engineering.
citation: Xu Z, So RQ, Toe KK, Ang KK, Guan C. On the asynchronously continuous control of mobile robot movement by motor cortical spiking activity. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3049-52. doi: 10.1109/EMBC.2014.6944266.
PMID: 25570634
responsible party type: Sponsor
mesh term: Muscular Dystrophies
mesh term: Spinal Cord Injuries
mesh term: Motor Neuron Disease
mesh term: Amyotrophic Lateral Sclerosis
mesh term: Quadriplegia
mesh term: Locked-In Syndrome
sharing ipd: Undecided