Wearable Sensor Devices for Prevention and Rehabilitation in Healthcare: Swimming Exercise With Real-Time Therapist Feedback

Kos, Anton; Umek, Anton

doi:10.1109/jiot.2018.2850664

Cited by 81 publications

(44 citation statements)

References 45 publications

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“…Their wearable sensor device uses gyroscope and accelerometer signals to calculate the most important swimming parameters locally and sends them to the PC at the times when the swimmer's head is out of the water. A similar approach was performed by Kos and Umek [7], where one IMU with an accelerometer and gyroscope was attached to the low back to acquire a number of the most relevant swimming parameters for all four swimming disciplines. Their sensor device recorded the swimming data offline and transfers them to the PC after swimming using a wired connection.…”

Section: Resultsmentioning

confidence: 99%

“…Among others, inertial sensors [7, force sensors [43,, and electromyography probes are widely used for objectively and unobtrusively quantifying kinematics, kinetics, and muscle activity during sporting activities. One promising direction in wearable sensor use is real-time biofeedback systems [138] that can offer concurrent augmented feedback information to athletes and/or coaches [7,[139][140][141][142].…”

Section: Introductionmentioning

confidence: 99%

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Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview

Taborri

Keogh

Kos

et al. 2020

Applied Bionics and Biomechanics

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In the last few decades, a number of technological developments have advanced the spread of wearable sensors for the assessment of human motion. These sensors have been also developed to assess athletes’ performance, providing useful guidelines for coaching, as well as for injury prevention. The data from these sensors provides key performance outcomes as well as more detailed kinematic, kinetic, and electromyographic data that provides insight into how the performance was obtained. From this perspective, inertial sensors, force sensors, and electromyography appear to be the most appropriate wearable sensors to use. Several studies were conducted to verify the feasibility of using wearable sensors for sport applications by using both commercially available and customized sensors. The present study seeks to provide an overview of sport biomechanics applications found from recent literature using wearable sensors, highlighting some information related to the used sensors and analysis methods. From the literature review results, it appears that inertial sensors are the most widespread sensors for assessing athletes’ performance; however, there still exist applications for force sensors and electromyography in this context. The main sport assessed in the studies was running, even though the range of sports examined was quite high. The provided overview can be useful for researchers, athletes, and coaches to understand the technologies currently available for sport performance assessment.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview

Taborri

Keogh

Kos

et al. 2020

Applied Bionics and Biomechanics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Personalized Healthcare Recommendation System. Big data plays a significant role in the healthcare domain to develop a personalized recommendation system to give precise and relevant medical recommendation (advice) to an individual (patient) based on their current health status and medical history [110]. e authors in [111] proposed an intelligence-based health recommendation system using BDA to study and research health records of patients, assess risk and the severity of different diseases, and then provide recommendations based on outcomes of prediction.…”

Section: Scientific Programmingmentioning

confidence: 99%

A Systematic Review of Healthcare Big Data

Raja

Mukherjee

Sarkar

2020

Scientific Programming

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Over the past decade, data recorded (due to digitization) in healthcare sectors have continued to increase, intriguing the thought about big data in healthcare. There already exists plenty of information, ready for analysis. Researchers are always putting their best effort to find valuable insight from the healthcare big data for quality medical services. This article provides a systematic review study on healthcare big data based on the systematic literature review (SLR) protocol. In particular, the present study highlights some valuable research aspects on healthcare big data, evaluating 34 journal articles (between 2015 and 2019) according to the defined inclusion-exclusion criteria. More specifically, the present study focuses to determine the extent of healthcare big data analytics together with its applications and challenges in healthcare adoption. Besides, the article discusses big data produced by these healthcare systems, big data characteristics, and various issues in dealing with big data, as well as how big data analytics contributes to achieve a meaningful insight on these data set. In short, the article summarizes the existing literature based on healthcare big data, and it also helps the researchers with a foundation for future study in healthcare contexts.

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“…The interference mitigation methods in WBAN such as power control approach, MAC approach, cognitive radio approach, ultra wideband (UWB) approach, and signal processing approach is important to increase data sending reliability [9]. WBAN technology can be used in various fields of application such as health [10][11], transportation [12], military [13], and sport [14][15][16][17].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Hypothermia Symptoms Early Detection With Smart Jacket Based on Wireless Body Area Network

et al. 2020

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Hypothermia is a state where the body cannot balance the body heat due to excessive cold temperature pressure so that there will be loss of heat in the body. The result will be a quickly decreasing body temperature. A condition where a body temperature is less than 35°C and that it is accompanied by a decrease in consciousness may cause a death threat. Hypothermia is more common when climbers perform activities in cold temperatures and strong winds, and when they wear wet clothes. It is not easy for a mountain climber to find out his own body temperature as well as that of his friends and to determine whether the body temperature is safe or affected by hypothermia symptoms. Therefore, this research formed a device to detect hypothermia. It consists of temperature sensor, pulse sensor, and accompanied by heating elements based on wireless body area network (WBAN). This device will connect to the user's smartphone by using Bluetooth, so the user can see the condition of his body, adjust the temperature of the heating element, and make a group of climbers. The experiment result shows that the device can detect hypothermia symptoms and inform these symptoms to the users and groups of mountaineers in WBAN area, and the climbers can be more vigilant in responding to hypothermia so that mortality cases caused by hypothermia can be minimized. INDEX TERMS ehealth, heart rate, hypothermia, temperature, wireless body area network.

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Wearable Sensor Devices for Prevention and Rehabilitation in Healthcare: Swimming Exercise With Real-Time Therapist Feedback

Cited by 81 publications

References 45 publications

Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview

Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview

A Systematic Review of Healthcare Big Data

Design and Implementation of Hypothermia Symptoms Early Detection With Smart Jacket Based on Wireless Body Area Network

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