A wearable intelligent system for monitoring health condition and rehabilitation of running athletes

Glaros, C.; Fotiadis, Dimitrios I.; Likas, Aristidis; Stafylopatis, Andreas

doi:10.1109/itab.2003.1222531

Cited by 25 publications

(22 citation statements)

References 12 publications

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“…For such wearable systems to become widely accepted, they must be minimally invasive and minimally intrusive. This is a crucial requirement particularly for elderly outpatients, 1 fitness professionals, 2 and soldiers in the battlefield.…”

Section: Conductive-fabricmentioning

confidence: 99%

“…However, in a flat, constant-cross-section, homogeneous sheet of conductive material, we find that the two points separated by h have a multitude of transmission paths between them, resulting in much lower electrical resistance between the sheet's points. We've reported elsewhere that this relationship is (2) where I c is the current passing from one probe to the next, is the charge per unit thickness, r 0 is the probe radius, and ⑀ r is the material permittivity. 12 Thus, the 2D DC resistance varies logarithmically with distance h.…”

Section: Dc-plc On the Bodymentioning

confidence: 99%

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Conductive Fabric Garment for a Cable-Free Body Area Network

Wade

Asada

2007

IEEE Pervasive Comput.

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O f the many wearable computing applications, health-monitoring systems open a world of ways to improve our quality of life by supporting continuous measurement of physiological signals such as limb motion, respiration, and skin temperature. Such systems can expedite recovery and rehabilitation, immediately address a sudden decline in health, and assist those in need until they have access to a health professional. For such wearable systems to become widely accepted, they must be minimally invasive and minimally intrusive. This is a crucial requirement particularly for elderly outpatients, 1 fitness professionals, 2 and soldiers in the battlefield.Placing sensor nodes on the body requires careful consideration of the components' physical connections, their bulk and weight, and the routing of wires along the body. 3,4 When evaluating how to locate system components on the body, you must also consider metrics such as relative movement, load-carrying capacity, and shape. 5 We've devised a unique approach to addressing these issues by applying DC power-line communication technology to a wearable monitoring system. DC-PLC technology uses a single, shared DC bus to provide power to each node and to simultaneously facilitate data transmission between nodes in an electrical network. 6 For maximum comfort, the DC bus must be flexible and lightweight. This precludes the use of traditional metal wiring. Instead, we use electrically conductive fabrics sewn into a garment, where they behave like normal fabrics and thus don't restrict the wearer's body movement. 7,8 This distributed transmission medium serves as the physical layer of the DC-PLC bus. We've designed the system so that users can go about their daily business in the comfort of their home while being monitored remotely over the Internet.In this article, we focus on a novel method for the analysis and design of these conductive-fabric (CF), sensor-network garments, including a discussion of our method for applying DC-PLC to a wearable garment, a method of analyzing the garment characteristics, and the details of the physical implementation. DC-PLC on the bodyThe garment design reflects our ability to simultaneously transmit power and information over a single medium, commonly known as power-line carrier communication. The DC-PLC bus consists of a power and data supply line, which we call the consolidated power-signal (CPS) line, and a ground line for electrical return. Sensor nodes are connected to this DC-PLC bus, and the system superimposes the modulated physiological data they collect on the CPS. The sensor nodes, embedded in the garment at various locations, transmit data along the bus to a master node that transmits all sensor information wirelessly to a local capture and storage mechanism, such as a personal computer.Theoretical analysis and experimentation show that a prototype body area network composed of 2D electrically conductive fabric sheets can transmit both signals and DC power sufficient for implementing a cable-free network in a garment.

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Section: Conductive-fabricmentioning

confidence: 99%

Section: Dc-plc On the Bodymentioning

confidence: 99%

Conductive Fabric Garment for a Cable-Free Body Area Network

Wade

Asada

2007

IEEE Pervasive Comput.

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“…Glaros et al have presented a concept of a complex multimodal system with sensors distributed in various locations on the body to assess athlete rehabilitation progress [6]. Atallah et al showed, using an ear-worn activity recognition sensor, that changes in gait during post-operative recovery could be detected from subjects with simulated knee injury [7].…”

Section: Introductionmentioning

confidence: 99%

Novel approaches to measure acoustic emissions as biomarkers for joint health assessment

Teague

Hersek

Töreyin

et al. 2015

2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

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The ultimate objective of this research is to quantify changes in joint sounds during recovery from musculoskeletal injury, and to then use the characteristics of such sounds as a biomarker for quantifying joint rehabilitation progress. This paper focuses on the robust measurement of joint acoustic emissions using miniature microphones placed on the knee and interfaced to custom hardware. Two types of microphones were investigated: (1) miniature microphones with a sound port for detecting airborne sounds; and (2) piezoelectric film based contact microphones for detecting skin vibrations associated with internal sounds. Additionally, inertial measurements were taken simultaneously with joint sounds to observe the consistency in the acoustic emissions in the context of particular activities: knee flexion / extension (without load) and multi-joint weighted movement involving knee and hip flexion / extension (i.e. sit-to-stand). The preliminary data demonstrated that high quality joint sound measurements can be obtained with unique and repeatable acoustic signatures in healthy and injured joints. Additionally, the results suggest that combining piezoelectric contact microphones (which detect high quality acoustic emission signals directly from the skin vibrations but can be compromised with loss of skin contact) and electret microphones (which measure lower signal-to-noise ratio airborne sounds from the joint but can even measure such sounds at 5 cm distance from the skin) can provide robust measurements for a future wearable system to assess joint health in patients during rehabilitation at home.

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“…Also in Europe, Remote Service of Rehabilitation Technology (RESORT) project for children with physical or language difficulty has been promoted by EU. Another remote rehabilitation system has been reported by Glaros that allows remote control of care and train program [7]. A network system was developed by Gourlay that teaches daily living skills to cognitive deficit persons [8].…”

Section: Introductionmentioning

confidence: 99%

Development of on-bed lower extremity exercise system for use with networked virtual space

Fujita

Kato

2005

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

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A virtual space locomotion interface device using lower limb motion at supine position has been developed to allow the users to exercise and communicate each other at home. The velocity control performance, muscle activity and the energy consumption while using the developed device were evaluated. It was demonstrated that the developed device reflects the user's subjectivity adequately and the virtual space walking distance is to be set as three times of the actual distance to obtain the same exercise effect.

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A wearable intelligent system for monitoring health condition and rehabilitation of running athletes

Cited by 25 publications

References 12 publications

Conductive Fabric Garment for a Cable-Free Body Area Network

Conductive Fabric Garment for a Cable-Free Body Area Network

Novel approaches to measure acoustic emissions as biomarkers for joint health assessment

Development of on-bed lower extremity exercise system for use with networked virtual space

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