Wearable and IoT Technologies Application for Physical Rehabilitation

Alexandre, Ricardo; Postolache, Octavian

doi:10.1109/issi.2018.8538058

Cited by 17 publications

(15 citation statements)

References 18 publications

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“…Limitations were also mentioned with respect to the hardware development category, including the need for enhanced calibration or upgraded components for better monitoring of accurate data. One study reported the need to improve a control strategy [ 139 ], while others mentioned general hardware issues [ 61 , 109 , 134 , 156 , 166 ]. In addition, some studies referred to the need for adjustments regarding the range of motion of the users [ 49 , 160 ] or the size of the hand [ 5 ].…”

Section: Resultsmentioning

confidence: 99%

“…Thus, the scenario varied depending on the part of the upper extremity that was targeted. Nevertheless, it is evident that in the case of attempts that belong to hardware development, the purpose is focused on more specific (fine) movements (ie, accuracy of the movement achieved in object placement), with noticeable interest in the force that the user exerts [13,47,[54][55][56][57][58][59][60][61]. Moreover, another class of game type is the time (ie, completion time of the tasks).…”

Section: Game Targetmentioning

confidence: 99%

“…Additionally, there are more complicated and time-consuming approaches identified in this category, including developments of exoskeleton robotic devices that focus on specific parts of the hand. These are studies in which robotic gloves were developed to control the fingers [35,42,61,79,[150][151][152][153][154][155][156], and in which robotic arms were created to cover the surface from the shoulder to the wrist [4][5][6][7][8][9][10][11]48,49,110,139,[157][158][159][160][161]. Additionally, many research teams have focused on the development of a handle to obtain control of the arm force and movement [12,56,135,[162][163][164][165][166][167][168][169][170][171][172][173] or similar robotics [174][175][176]…”

Section: Hardware Developmentmentioning

confidence: 99%

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Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

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Background: Serious gaming has increasingly gained attention as a potential new component in clinical practice. Specifically, its use in the rehabilitation of motor dysfunctions has been intensively researched during the past three decades. Objective: The aim of this scoping review was to evaluate the current role of serious games in upper extremity rehabilitation, and to identify common methods and practice as well as technology patterns. This objective was approached via the exploration of published research efforts over time. Methods: The literature search, using the PubMed and Scopus databases, included articles published from 1999 to 2019. The eligibility criteria were (i) any form of game-based arm rehabilitation; (ii) published in a peer-reviewed journal or conference; (iii) introduce a game in an electronic format; (iv) published in English; and (v) not a review, meta-analysis, or conference abstract. The search strategy identified 169 relevant articles. Results: The results indicated an increasing research trend in the domain of serious gaming deployment in upper extremity rehabilitation. Furthermore, differences regarding the number of publications and the game approach were noted between studies that used commercial devices in their rehabilitation systems and those that proposed a custom-made robotic arm, glove, or other devices for the connection and interaction with the game platform. A particularly relevant observation concerns the evaluation of the introduced systems. Although one-third of the studies evaluated their implementations with patients, in most cases, there is the need for a larger number of participants and better testing of the rehabilitation scheme efficiency over time. Most of the studies that included some form of assessment for the introduced rehabilitation game mentioned user experience as one of the factors considered for evaluation of the system. Besides user experience assessment, the most common evaluation method involving patients was the use of standard medical tests. Finally, a few studies attempted to extract game features to introduce quantitative measurements for the evaluation of patient improvement. Conclusions: This paper presents an overview of a significant research topic and highlights the current state of the field. Despite extensive attempts for the development of gamified rehabilitation systems, there is no definite answer as to whether a serious game is a favorable means for upper extremity functionality improvement; however, this certainly constitutes a supplementary means for motivation. The development of a unified performance quantification framework and more extensive experiments could generate richer evidence and contribute toward this direction.

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Section: Resultsmentioning

confidence: 99%

Section: Game Targetmentioning

confidence: 99%

Section: Hardware Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

View full text Add to dashboard Cite

show abstract

“…Limitations were also mentioned with respect to the hardware development category, including the need for enhanced calibration or upgraded components for better monitoring of accurate data. One study reported the need to improve a control strategy [139], while others mentioned general hardware issues [61,109,134,156,166]. In addition, some studies referred to the need for adjustments regarding the range of motion of the users [49,160] or the size of the hand [5].…”

Section: Hardware Use Limitationsmentioning

confidence: 99%

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review (Preprint)

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

Preprint

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BACKGROUND Serious gaming is increasingly gaining attention as a potential new component in clinical practice. Specifically, its use in the rehabilitation of motor dysfunctions has been intensively researched during the past three decades. OBJECTIVE This scoping review aims to evaluate the current role of serious games in the upper extremity rehabilitation and identify common methods and practice, technology patterns as well as gaps. This objective is approached via the exploration of published research efforts over the years. METHODS The literature research, using the PubMed and Scopus databases, included articles published until June 2019. The eligibility criteria were (i) to include any form of introduced game-based arm rehabilitation, (ii) to be a study published in a peer-reviewed journal or conference, (iii) to introduce a game in an electronic format, (iv) to be a study in English, (v) to not be a review, meta-analysis, editorial or commentary. The review identified 169 relevant articles. RESULTS The results indicate an increasing research trend in the domain of serious gaming deployment in upper extremity rehabilitation. Furthermore, differences regarding the number of publications and the game approach were noted between studies which used commercial devices in their rehabilitation systems, with studies which created any type of robotic arm, glove or other devices for the connection with the game platform. A significant observation concerns the evaluation of the introduced systems. Although one-third of the studies evaluate in real use their implementations including patients, in most cases, there is the need for a bigger number of participants and better testing of the rehabilitation scheme efficiency over time. Most of the studies which included some form of assessment for the introduced rehabilitation game, mentioned among others the user experience as a factor for the system’s evaluation. Besides the user experience assessment, the most common evaluation method involving patients was the use of medical standard tests. Finally, a few studies attempted to extract game features in order to introduce quantitative measurements for the evaluation of the patient’s improvement. CONCLUSIONS This paper presents an overview of a significant research topic and highlights the current state of the field. Despite all the attempts for the development of a rehabilitation system, there is not a definite answer of whether a serious game is a favorable means for the upper extremity functionality improvement, but it is certainly constitutes a supplementary means for motivation. The development of a unified performance quantification framework and the conductance of wider scale experiments could generate richer evidence and contribute in this direction.

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“…The IMU device consists of a 3-axis accelerometer and a 3-axis gyroscope [14][15]. For the microcontroller used, the Arduino Nano can be used as was done by Ricardo Alexander et al In his research, Ricardo Alexander used Arduino Nano to make a motion tracking glove that can read the angular velocity value from the IMU sensor and convert it to a rotation value and send the rotation value to a VR device using Bluetooth communication [16] [17].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Complementary Filter Method in Increasing the Performance of Motion Tracking Gloves for Virtual Reality Games

Atoir

Putrada

Pahlevi

2021

KINETIK

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In the use of Virtual Reality-based video games, users need additional devices to interact, one of which is a Motion Tracking Glove. The Motion Tracking Glove is one of the enhancements that users can use to interact with objects in VR video games. To get the angle value, an accelerometer sensor is used in the MPU6050 module. However, the problem that arises is the accuracy of the sensor because VR demands a low error rate. The purpose of this study is to improve the accuracy of the angular value of the accelerometer sensor value with a complementary filter. Complementary filters can increase the accuracy of the accelerometer sensor by combining its value with the gyroscope sensor value. The Motion Tracking Glove is built using the Arduino Nano and the MPU6050 module to capture angles that move according to hand movements, to connect and exchange data to the main VR device, the Motion Tracking Glove using the Bluetooth module. The results are RMSE 0.6 and MAPE 2.5% with a static Motion Tracking Glove position without movement. In sending Motion Tracking Glove data using the Bluetooth module, the resulting delay time when sending ranges from 0.1 second to 0.4 seconds by trying to move the Motion Tracking Glove from 0 degrees to 90 degrees and back to 0 degrees.

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Wearable and IoT Technologies Application for Physical Rehabilitation

Cited by 17 publications

References 18 publications

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review (Preprint)

Evaluation of Complementary Filter Method in Increasing the Performance of Motion Tracking Gloves for Virtual Reality Games

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