F-Glove: A glove with force-audio sensory substitution system for diabetic patients

Hafidh, Basim; Osman, Hussein Al; Alowaidi, Majed; El-Saddik, Abdulmotaleb; Liu, Peter

doi:10.1109/have.2013.6679607

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…• Mobile/Tele-Health: Many research utilize the mobile and tele-health technologies to accelerate health services provision for patients such as [42] and [43] and healthy individuals for their wellbeing such as [31]. In this review, this subclass refers to personal health systems that are developed to monitor patient's health remotely.…”

Section: Literature Review Resultsmentioning

confidence: 99%

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ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards Compliant Systems: A Systematic Literature Review

2019

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Since the introduction of the ISO/IEEE 11073 personal health device (X73-PHD) standards, as part of ISO/IEEE 11073 family of standards, it has been applied to many health systems developed for personal use. In this systematic literature review, we review existing literature collected using three databases: Scopus, Pub Med, and Web of Science. We propose a classification for personal health systems based on the location in which they are used, the technology used to develop them, and the purpose which is determined by the targeted users. We found 51% of the devices used in such systems are standardized while approximately 40% are not and five systems did not specify the device status (9%). Various adaption techniques were used for standardization. Besides, the pulse oximeter is the most used device in such systems since it was used in 43% of them. In addition, we present the role of the X73-PHD standards in the Internet of Things (IoT) and tele-healthcare systems, discuss the challenges of utilizing this set of standards in health monitoring systems and converting the non-standardized devices into standardized ones. Finally, we propose the requirements of personal health systems based on our review of the literature. INDEX TERMSCompliant system, ISO/IEEE 11073 personal health device, standard, X73-PHD, health systems requirements, IoT.

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Section: Literature Review Resultsmentioning

confidence: 99%

“…• Reactive Well-being: Refers to personal health systems targeting patients to monitor their health continuously and remotely. Some examples are systems developed for patients with chronic diseases such as diabetes [43], [73], stroke [74], [75] and obesity [76]. Other examples are systems found in [77] and [79].…”

Section: Literature Review Resultsmentioning

confidence: 99%

ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards Compliant Systems: A Systematic Literature Review

2019

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“…The glove is equipped with eight FSR sensors, five of which are mounted close to the middle of the fingers and three are mounted on the palm ( Figure 1). The rest of the design is similar to the one appeared in [12]. A wireless connection is established between the glove and the computer via a BlueSMiRF bluetooth modem.…”

Section: Fsr Glovementioning

confidence: 99%

A Novel Study on Natural Robotic Rehabilitation Exergames Using the Unaffected Arm of Stroke Patients

Hoda

Alamri

et al. 2015

International Journal of Distributed Sensor Networks

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We design and implement a low-cost rehabilitation glove to meet the needs of those patients who have paralysis in their affected hand. The novelty of this glove is that it is to be worn on the unaffected hand which acts as a natural robotic arm during the rehabilitation session. The glove is equipped with FSR sensors that measure the forces exerted by the affected hand on the unaffected hand. A virtual reality rehabilitation game is developed using Microsoft Kinect to facilitate the exercises and motivate the patients. The system is tested on three patients for six weeks. Objective measurements showed that patients have significantly improved over the study period. Moreover, the patients themselves gave positive feedback on the whole system; wearing the glove on the unaffected hand made their life easier and let them enjoy the rehabilitation sessions.

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“…Scientific researchers in the field of rehabilitation engineering have attempted to develop various devices for helping patients, the disabled and the elderly [2][3][4] and there has been considerable success in achieving improvements to the quality of life for these people by the application and use of these various devices. However, these devices have usually been based on the physical movement of the body, particularly the head, arms, fingers, legs and feet, and these devices often have use and usefulness to only certain user groups.…”

Section: Introductionmentioning

confidence: 99%

“…Electrical signals from heart muscle activity; the electrocardiogram (ECG) as well as the electroneurogram (ENG); field potentials from local regions in the brain are all examples of detectable signals from muscles and organs in the body. These bio-signals have been identified and are detectable and are widely used in various control applications such as controlling a motorized wheelchair by EOG signals [8,9], a glove which is a force-audio sensory substitution system for diabetic patients [10], and a visual substitution system for blind people [11,12]. Particularly, Facial Gesture Recognition (FGR) offers a challenges and is certainly of interest.…”

Section: Introductionmentioning

confidence: 99%

Facial Gesture Measurement Using Optical Muscle Sensing System

Yothapakdee¹,

Yupapin²,

Tamee³

2016

Nano BioMed ENG

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A PANDA ring resonator circuit has been applied to the measurement of muscle actions, measuring signals created by facial muscle contractions. A system, which is called the Optical Muscle Sensing System, was developed which uses sensors to measure the mechanism of facial muscle contractions and the strength of contraction and degrees of perturbation of the facial muscles that are used directly for each facial gesture. The signal data was obtained from the simulation of the facial gestures and this data was applied in the classification of the facial gesture signals of each particular gesture. Facial gestures include blinking, smiling, grimacing and various other contortions of the face which may imply emotions and are part of normal human communication. Understanding of these mechanisms will be useful and applicable to facial rehabilitation services.

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F-Glove: A glove with force-audio sensory substitution system for diabetic patients

Cited by 7 publications

References 7 publications

ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards Compliant Systems: A Systematic Literature Review

ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards Compliant Systems: A Systematic Literature Review

A Novel Study on Natural Robotic Rehabilitation Exergames Using the Unaffected Arm of Stroke Patients

Facial Gesture Measurement Using Optical Muscle Sensing System

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