Adapting to progressive paralysis: A tongue-brain hybrid robot interface for individuals with amyotrophic lateral sclerosis

Kæseler, Rasmus Leck; Farina, Dario; Bentsen, Bo; Obál, Izabella; Vinge, Lotte; Dremstrup, Kim; Jochumsen, Mads; Struijk, Lotte N. S. Andreasen

doi:10.36227/techrxiv.21975476.v1

Cited by 2 publications

(23 citation statements)

References 7 publications

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“…The experiments with healthy participants showed the advantage of combining tongue-and brain signals if the user can no longer use the full ITCI. It was observed that each subsystem achieved slightly worse performance compared to the prior subsystem (4-34% increase in task completion times), but that all performed significantly faster than the full BMI [166]. The full BMI used much longer time idle in a control mode compared to the other subsystems where the ITCI was used to activate the robot, which highlights the importance of at least one robust and time-continuous control signal.…”

Section: Main Findingsmentioning

confidence: 97%

“…The bar plots show the average time spend across the four trials and ten subjects on days 1 to 3 (from left to right) for each subsystem. (adapted from [166]) on day two. The second participant performed better with the full BMI, but worse with full ITCI and hybrid subsystem compared to participant one.…”

Section: Study Imentioning

confidence: 99%

“…4.3d) was designed similarly to the TBhMI2; however, to activate any of the commands in this subsystem the user should only remain focused on the blinking stimulus. The user interfaces for the four sub-systems used in study II (adapted from [167]). Orange labels were not shown on the interfaces but were added here to provide descriptions of the interface components.…”

Section: Study II Title: Evaluation Of An Adaptive Hybrid Tongue-brai...mentioning

confidence: 99%

“…Study 2 presented an updated framework with several improvements and evaluated it with three participants with ALS [167]. The BMI was improved by increasing the number of electrodes and performing slightly more training per BMI target and the ITCI was improved by implementing a joystick layout [28].…”

Section: Main Findingsmentioning

confidence: 99%

“…Fig. 4.1:The six subsystems used in the framework that was evaluated with healthy participants in study I (adapted from[166])…”

mentioning

confidence: 99%

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Adapting to progressive paralysis: A tongue-brain hybrid robot interface for individuals with amyotrophic lateral sclerosis

Kæseler

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Section: Main Findingsmentioning

confidence: 97%

Section: Study Imentioning

confidence: 99%

Section: Study II Title: Evaluation Of An Adaptive Hybrid Tongue-brai...mentioning

confidence: 99%

Section: Main Findingsmentioning

confidence: 99%

“…Fig. 4.1:The six subsystems used in the framework that was evaluated with healthy participants in study I (adapted from[166])…”

mentioning

confidence: 99%

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Adapting to progressive paralysis: A tongue-brain hybrid robot interface for individuals with amyotrophic lateral sclerosis

Kæseler

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Evaluation of an adaptive hybrid tongue-brain control framework by individuals with amyotrophic lateral sclerosis

Leck Kæseler,

Johansen,

Pálsdóttir

et al. 2023

Preprint

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Preprint submitted to IOP Journal of Neural Engineering Objective. Individuals with Amyotrophic lateral sclerosis (ALS) progressively lose muscle functionality and therefore experience both an increased need for assistive robot technologies and a reduced ability to control such robots. While these individuals may use high-performing control systems, such as tongue control, at the beginning of their disease progression, they will eventually be restricted to a lower-performing control system, such as brain control. However, an adaptive multimodal control interface framework consisting of combinations of tongue control and noninvasive brain control can utilize the residual tongue functionality to optimize the control performance throughout the disease progression. Approach. To investigate this concept, a new adaptive tongue-brain multimodal control framework for manual and continuous control of a 7-degree-of-freedom robot arm is developed, based on a prior validation study. The new framework focuses on improved visual feedback, as individuals with ALS specifically requested this in a previous validation study, and consists of four subsystems: the first uses full tongue control; the second and third use hybrid tongue and noninvasive brain control, with a decreasing need for tongue functionality; and the fourth uses noninvasive brain control only. The framework was evaluated with three participants with ALS. Main results. All participants were succesful with all subsystems. One user could no longer efficiently use the full tongue control interface but achieved good results with the third and fourth subsystems. The second participant achieved significantly better results with the subsystems that included some tongue control, thereby showing the advantage of including some tongue control. The third participant performed well with all subsystems showing the ideal performance progression between each subsystem. Moreover, all participants, including the two with good tongue control, chose a multimodal control interface as their favorite. Significance. The results indicate that individuals with ALS prefer interfaces that combine multiple control modalities.

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Adapting to progressive paralysis: A tongue-brain hybrid robot interface for individuals with amyotrophic lateral sclerosis

Cited by 2 publications

References 7 publications

Adapting to progressive paralysis: A tongue-brain hybrid robot interface for individuals with amyotrophic lateral sclerosis

Adapting to progressive paralysis: A tongue-brain hybrid robot interface for individuals with amyotrophic lateral sclerosis

Evaluation of an adaptive hybrid tongue-brain control framework by individuals with amyotrophic lateral sclerosis

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