Guest Editorial An Overview of Biomedical Robotics and Bio-Mechatronics Systems and Applications

Li, Zhijun; Yang, Chenguang; Burdet, Etienne

doi:10.1109/tsmc.2016.2571786

Cited by 28 publications

(8 citation statements)

References 68 publications

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“…4(A), these distinct inputs are increasingly found as complements rather than substitutes -for the period 2000-2018 we estimate that f × ≈8.2% of research articles relied on techno-informatic capabilities in tandem (J+L); this frequency corresponds to a 291% growth over the J+L convergence levels in 1980. If the future relies on harnessing the combined power of human and machine intelligence, then the development of human-in-the-loop and Man-Machine Systems (J01.897.441) "in which the functions of the man and the machine are interrelated and necessary for the operation of the system" will require transdisciplinary domains such as bio-mechatronics to flourish by harnessing convergence [71]. For this reason, scientists are increasingly in need of knowledge maps to navigate the realm of possibilities and to thereby which conceptual bridges to cross and which to avoid.…”

Section: Discussionmentioning

confidence: 99%

Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities

Yang,

Pavlidis,

Petersen

2021

Preprint

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We analyzed Medical Subject Headings (MeSH) from 21.6 million research articles indexed by PubMed to map this vast space of entities and their relations, providing insights into the origins and future of biomedical convergence. Detailed analysis of MeSH co-occurrence networks identifies three robust knowledge clusters: the vast universe of microscopic biological entities and structures; systems, disease and diagnostics; and emergent biological and social phenomena underlying the complex problems driving the health, behavioral and brain science frontiers. These domains integrated from the 1990s onward by way of technological and informatic capabilities that introduced highly controllable, scalable and permutable research processes and invaluable imaging techniques for illuminating fundamental structure-function-behavior questions. Article-level analysis confirms a positive relationship between team size and topical diversity, and shows convergence to be increasing in prominence but with recent saturation. Together, our results invite additional policy support for cross-disciplinary team assembly to harness transdisciplinary convergence.

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Section: Discussionmentioning

confidence: 99%

Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities

Yang,

Pavlidis,

Petersen

2021

Preprint

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“…In this paper, the current sensing techniques have been presented in detail with two major categories based on their characteristics of raw data collection. Continuous developments in the fields of material engineering, nanotechnology, fabrication technologies and 3D vision technique lead to advances in sensor performance, as well as reliability and mechanical properties [125]. In this paper, the sensing techniques such as the hand data glove, attached force sensors, SEMG, optical markers, ordinary cameras, depth camera and Leap Motion controller have been presented in detail.…”

Section: Discussionmentioning

confidence: 99%

Multimodal Human Hand Motion Sensing and Analysis—A Review

Xue,

Ju,

Xiang

et al. 2019

IEEE Trans. Cogn. Dev. Syst.

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Human hand motion analysis is an essential research topic in recent applications, especially for dexterous robot hand manipulation learning from human hand skills. It provides important information about the gestures, tactile, speed and contact force, captured via multiple sensing technologies. This paper introduces a comprehensive survey of current hand motion sensing technologies and analysis approaches in recent emerging applications. Firstly, the nature of human hand motions is discussed in terms of simple motions, such as grasps and gestures, and complex motions, e.g. in-hand manipulations and re-grasps; secondly, different techniques for hand motion sensing, including contact-based and non-contact-based approaches, are discussed with comparisons with their pros and cons; then, the state-of-theart analysis methods are introduced, with a particular focus on the multimodal hand motion sensing and analysis; finally, cuttingedge applications of hand motion analysis are reviewed, with further discussion on facing challenges and new future directions.

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“…Advanced smart medical system engineering for safety-critical medical applications requires the consideration of several dependable features, such as the functional safety, availability, and reliability of the engineered system in signal processing algorithms (1,2). With this consideration, the advancement in high-performance electronics and sensors can become affordable and, thus, increase the usage of these smart medical systems in clinical environments, such as performing critical patient treatments like robotic surgeries and medication supervisions through the continuous monitoring of patients (3)(4)(5). These smart, intelligent multimodal computational electronics, along with system portability, come with a significant increase in system complexity and bring in major challenges like functional safety, reliability of measurements, and patient safety.…”

Section: Introductionmentioning

confidence: 99%

Improvements in Medical System Safety Analytics for Authentic Measure of Vital Signs Using Fault-Tolerant Design Approach

Lakkamraju

Anumukonda

Chowdhury

2021

Front. Med. Technol.

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The study presents a novel design method that improves system availability using fault-tolerant features in a non-invasive medical diagnostic system. This approach addresses the effective detection of functional faults, improves the uninterruptible system operating period with reduced false alarms, and provides an authentic measure of vital cardiac signs using diverse multimodal sensing elements like the photoplethysmogram (PPG) and the ECG. Most systems rely on a 1oo1 (one-out-of-one) design method, which inherently limits accuracy in existing practice. In this proposed approach, the quality of segregated authentic vital sign measured values could tremendously benefit the performance of resourceful nursing with negligible alarm fatigue and predict illness more accurately. The system builds upon the selected 2oo2 (two-out-of-two) safety-related design architecture and is evaluated with implemented functions like the fault detection and identification logic, the correlation coefficient-based safety function, and the fault-tolerant safe degradation switching mechanism for accurate measurements. The system was tested on 50 adults of various age groups. The analyzed captured data showed highly accurate vital sign data in this fault-tolerant approach with reduced false alarms. The proposed design method evaluated safety-related mechanisms along with a combination of the same and diverse sensors in a medical monitoring device, showing more reliable functioning of the system and authentic data for better nursing. This design approach showed a 45–55% increased improvement in system availability, thus allowing for accurate and uninterruptable tracking of vital signs for better nursing during critical times in the ICU.

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Guest Editorial An Overview of Biomedical Robotics and Bio-Mechatronics Systems and Applications

Cited by 28 publications

References 68 publications

Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities

Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities

Multimodal Human Hand Motion Sensing and Analysis—A Review

Improvements in Medical System Safety Analytics for Authentic Measure of Vital Signs Using Fault-Tolerant Design Approach

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