Biomedical Sensors and Applications of Wearable Technologies on Arm and Hand

Seçkin, Mine; Seçkin, Ahmet Çağdaş; Gençer, Çetin

doi:10.1007/s44174-022-00002-7

Cited by 13 publications

(12 citation statements)

References 105 publications

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“…The availability of miniaturized cardiovascular wearable diagnostic sensors worn usually on the chest or wrists for cardiorespiratory or body-motion detection typically in smartphones have allowed for (i) longer durations of ambulatory monitoring for at-risk patients [4]; (ii) a prolonged use of wearables by asymptomatic, healthy subjects for assessing physical fitness or improving individual perception of well-being [5]; (iii) and the implementation of follow-up protocols for at-risk patients, in the form of alerts sent to patients or caregivers. Textile wearables are widely used as well [6].…”

Section: The World Of Wearablesmentioning

confidence: 99%

“…To this end, large-scale data acquisition initiatives have already started for cardiovascular healthcare, e.g., Apple Heart Study. 6 Understanding how multi-faceted properties of disease are reflected in data gathered from simple wearable sensor biomarkers will lead to discerning among various disease stages and healthy states by wearable sensors. Further insight into a-specificity will be gleaned through consideration of a combination of biomarkers.…”

Section: Tailoring Wearables Through Signal Processing-outlookmentioning

confidence: 99%

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Biomedical Signal Processing: The Cornerstone of Artificial Intelligence in Healthcare Wearables

Valenza

2022

Biomedical Materials & Devices

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Health sensors and remote measurement tools have saved lives through the possibility of continuous monitoring and intervention tools, and over the years their use has expanded to non-medical areas such as fitness and perceived well-being. This expansion has led to unprecedented data collection, especially since biomedical sensors are now ubiquitous in everyday devices such as smartwatches and smartphones. While these devices can be disruptive research tools and even clinical tools, they pose technological and socio-economic challenges that can limit their impact. Here, we highlight these challenges, including the use of proxies for clinical reference measurements, uncertainties resulting from the presence of noise, complexity of physiological systems, and statistical methods used for data interpretation.

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Section: The World Of Wearablesmentioning

confidence: 99%

Section: Tailoring Wearables Through Signal Processing-outlookmentioning

confidence: 99%

Biomedical Signal Processing: The Cornerstone of Artificial Intelligence in Healthcare Wearables

Valenza

2022

Biomedical Materials & Devices

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“…The concept of Wearable Technology (WT) has been used in various fields such as healthcare, sports, entertainment, electronics, textiles, and the defense industry for a long time [1][2][3][4][5]. Thanks to the opportunities provided by sensor and internet technology, WT has made significant progress in the last two decades and ha become devices that we frequently use in our daily lives.…”

Section: Introductionmentioning

confidence: 99%

“…Godfrey et al described the concept of WT by focusing on smartwatches and stating that it encompasses numerous devices that are directly or loosely worn on a person [2]. According to Seçkin et al, WT refers to non-invasive devices and sensors that individuals can wear on their bodies to assist in monitoring their health conditions, without requiring subcutaneous applications [5]. Shen et al defined the concept of WT as mobile electronic devices that can be comfortably worn on the user's body or attached to their clothing [6].…”

Section: Introductionmentioning

confidence: 99%

Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities

Seçkin,

Ateş,

Seçkin

2023

Applied Sciences

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Wearable technology is increasingly vital for improving sports performance through real-time data analysis and tracking. Both professional and amateur athletes rely on wearable sensors to enhance training efficiency and competition outcomes. However, further research is needed to fully understand and optimize their potential in sports. This comprehensive review explores the measurement and monitoring of athletic performance, injury prevention, rehabilitation, and overall performance optimization using body wearable sensors. By analyzing wearables’ structure, research articles across various sports, and commercial sensors, the review provides a thorough analysis of wearable sensors in sports. Its findings benefit athletes, coaches, healthcare professionals, conditioners, managers, and researchers, offering a detailed summary of wearable technology in sports. The review is expected to contribute to future advancements in wearable sensors and biometric data analysis, ultimately improving sports performance. Limitations such as privacy concerns, accuracy issues, and costs are acknowledged, stressing the need for legal regulations, ethical principles, and technical measures for safe and fair use. The importance of personalized devices and further research on athlete comfort and performance impact is emphasized. The emergence of wearable imaging devices holds promise for sports rehabilitation and performance monitoring, enabling enhanced athlete health, recovery, and performance in the sports industry.

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“…Currently, arm-based teleoperated devices can be divided into wearable and non-wearable types [ 14 ]. Wearable sensors, for example, Myo arm rings and body gloves [ 15 ], take the sensor (inertial sensor, bending sensor) signal as the input signal to detect the EMG signal of the external surface of the hand [ 16 , 17 ], which can quickly and accurately receive the arm movement information and is not affected by light, occlusion and other factors. However, wearing the sensor for a long time can cause discomfort and cumbersome operations that require calibration before use [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Sensor Fusion-Based Teleoperation Control of Anthropomorphic Robotic Arm

et al. 2023

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Sensor fusion is a technique that combines information from multiple sensors in order to improve the accuracy and reliability of the data being collected. In the context of teleoperation control of an anthropomorphic robotic arm, sensor fusion technology can be used to enhance the precise control of anthropomorphic robotic arms by combining data from multiple sensors, such as cameras, data gloves, force sensors, etc. By fusing and processing this sensing information, it can enable real-time control of anthropomorphic robotic arms and dexterous hands, replicating the motion of human manipulators. In this paper, we present a sensor fusion-based teleoperation control system for the anthropomorphic robotic arm and dexterous hand, which utilizes a filter to fuse data from multiple sensors in real-time. As such, the real-time perceived human arms motion posture information is analyzed and processed, and wireless communication is used to intelligently and flexibly control the anthropomorphic robotic arm and dexterous hand. Finally, the user is able to manage the anthropomorphic operation function in a stable and reliable manner. We also discussed the implementation and experimental evaluation of the system, showing that it is able to achieve improved performance and stability compared to traditional teleoperation control methods.

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Biomedical Sensors and Applications of Wearable Technologies on Arm and Hand

Cited by 13 publications

References 105 publications

Biomedical Signal Processing: The Cornerstone of Artificial Intelligence in Healthcare Wearables

Biomedical Signal Processing: The Cornerstone of Artificial Intelligence in Healthcare Wearables

Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities

Sensor Fusion-Based Teleoperation Control of Anthropomorphic Robotic Arm

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