Communicating physiological information via the tactile modality is shown as a promising means to address data overload faced by anesthesia providers. However, it is important to ensure that the tactile parameters which represent information are intuitive. There is currently no consensus on which tactile parameters should be used to present information within anesthesia. The two studies presented here evaluate: (a) a set of 24 tactile cues manipulating intensity, temporal, and spatial tactile parameters in a usability study and (b) a prototype tactile display based on the usability study's findings in a single and dual-task scenario. Findings of the usability study show intensity and temporal were rated most urgent and had the most potential to represent changes in physiological measures. This was confirmed in the follow up study as increases/decreases in intensity were shown to represent increases/decreases in a physiological measure and using different spatial locations to represent physiological measures resulted in greater than 95% response accuracy. Response times and accuracy were not adversely affected while performing a secondary task. The findings contribute to a better understanding of how to map tactile parameters to physiological information and demonstrate the effectiveness of end-user feedback in tactile display design to develop intuitive alerts.
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http://dx.doi.org/10.1109/TOH.2019.2960017 | DOI Listing |
Sensors (Basel)
December 2024
School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia.
Traditional tactile brain-computer interfaces (BCIs), particularly those based on steady-state somatosensory-evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. In contrast, using transient electrical stimuli offers a promising alternative for generating tactile BCI control signals: somatosensory event-related potentials (sERPs). This study aimed to optimize the performance of a novel electrotactile BCI by employing advanced feature extraction and machine learning techniques on sERP signals for the classification of users' selective tactile attention.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, 999077, China.
Rapid temperature contrast hydrotherapy by water immersion has been utilized by athletes for effective sports recovery. However, its application at some training or competition venues is limited by high water consumption, bucky size, personal hygiene, and inconvenience. Here, a novel portable system equipped with highly effective, lightweight, and hygienic wearable fluidic fabric device is reported, that replaces direct water immersion.
View Article and Find Full Text PDFAnn Biomed Eng
December 2024
Department of Mechanical Engineering, The Biorobotics and Biomechanics Lab, University of Maine, 168 College Ave, Orono, ME, 04469, USA.
Purpose: Current gait rehabilitation protocols for older adults typically attempt to effect changes in leg movements, while the role of arm movements is often ignored despite evidence of the neurological coupling of the upper and lower extremities. In the present work, we examine the effectiveness of a novel wearable haptic cueing system that targets arm swing to improve various gait parameters in older adults.
Methods: Twenty participants ( years) were recruited to analyze their gait during normal and fast walking without haptic cueing.
J Dent
December 2024
Faculty of Dentistry, The University of Hong Kong, Hong Kong, S.A.R., PR China. Electronic address:
Objective: To evaluate and compare the accuracy of detection methods for the diagnosis of secondary caries around direct restorations in posterior teeth.
Data: Accuracy parameters including sensitivity, specificity, diagnostic odds ratio (DOR), area under curve (AUC), and partial AUC (pAUC) are generated from studies assessing the accuracy of detection methods for secondary caries.
Sources: Publications from PubMed, Web of Science, Scopus, Medline, EMBASE and Cochrane Library databases.
Sensors (Basel)
December 2024
Department of Electrical and Photonics Engineering Automation and Control, Technical University of Denmark, Elektrovej, 2800 Kongens Lyngby, Denmark.
Obstacle contact detection is not commonly employed in autonomous robots, which mainly depend on avoidance algorithms, limiting their effectiveness in cluttered environments. Current contact-detection techniques suffer from blind spots or discretized detection points, and rigid platforms further limit performance by merely detecting the presence of a collision without providing detailed feedback. To address these challenges, we propose an innovative contact sensor design that improves autonomous navigation through physical contact detection.
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