scispace - formally typeset
Search or ask a question
Proceedings ArticleDOI

Finger movement based attender calling system for ICU patient management and rehabilitation

TL;DR: A hand finger movement based attender calling system which is portable and wearable is developed which could be useful for ICU patient management and rehabilitation of vocally impaired person.
Abstract: There is a need of smart attender calling system for efficient patient care especially for those who are unable to communicate with the health caregiver by natural means (vocal communication or through mobility; a common problem in intensive care unit (ICU)). Keeping the aforesaid perspective in mind, here we have developed a hand finger movement based attender calling system which is portable and wearable. The device is prepared by assembling a flex sensor on hand glove platform corresponding to its ‘fore finger’ position. Finger movement of the patient leads to flexion induced variation in output voltage. The circuit consists of a voltage comparator that compares the aforesaid output with respect to a preset voltage input obtained from a potentiometer (10 kΩ). A comparative voltage ratio of magnitude above 1 enables the comparator to pass an electric signal to an APR9600 voice module located in remote place. This signal plays a prerecorded message from APR9600 module to alert the concerned persons about patient's need. The sensitivity of the setup can be adjusted by changing preset voltage of potentiometer as per the requirement of the patient. It is believed that the aforesaid system could be useful for ICU patient management and rehabilitation of vocally impaired person.
Citations
More filters
Journal ArticleDOI
TL;DR: A comprehensive survey of resistive flex sensors, taking into account their working principles, manufacturing aspects, electrical characteristics and equivalent models, utilizing front-end conditioning circuitry, and physic-bio-chemical aspects, is provided in this paper.
Abstract: Resistive flex sensors can be used to measure bending or flexing with relatively little effort and a relativelylow budget. Their lightness, compactness, robustness, measurement effectiveness and low power consumption make these sensors useful for manifold applications in diverse fields. Here, we provide a comprehensive survey of resistive flex sensors, taking into account their working principles, manufacturing aspects, electrical characteristics and equivalent models, useful front-end conditioning circuitry, and physic-bio-chemical aspects. Particular effort is devoted to reporting on and analyzing several applications of resistive flex sensors, related to the measurement of body position and motion, and to the implementation of artificial devices. In relation to the human body, we consider the utilization of resistive flex sensors for the measurement of physical activity and for the development of interaction/interface devices driven by human gestures. Concerning artificial devices, we deal with applications related to the automotive field, robots, orthosis and prosthesis, musical instruments and measuring tools. The presented literature is collected from different sources, including bibliographic databases, company press releases, patents, master’s theses and PhD theses.

126 citations

Journal ArticleDOI
09 Mar 2020-Sensors
TL;DR: E-Skin sensors offer new capabilities for detecting and measuring lumbar–pelvic movements that have lower cost compared to commercially available IMU-based systems and their non-invasive highly stretchable characteristic makes them more comfortable for long-term use.
Abstract: Background: A nanomaterial-based electronic-skin (E-Skin) wearable sensor has been successfully used for detecting and measuring body movements such as finger movement and foot pressure. The ultrathin and highly sensitive characteristics of E-Skin sensor make it a suitable alternative for continuously out-of-hospital lumbar–pelvic movement (LPM) monitoring. Monitoring these movements can help medical experts better understand individuals’ low back pain experience. However, there is a lack of prior studies in this research area. Therefore, this paper explores the potential of E-Skin sensors to detect and measure the anatomical angles of lumbar–pelvic movements by building a linear relationship model to compare its performance to clinically validated inertial measurement unit (IMU)-based sensing system (ViMove). Methods: The paper first presents a review and classification of existing wireless sensing technologies for monitoring of body movements, and then it describes a series of experiments performed with E-Skin sensors for detecting five standard LPMs including flexion, extension, pelvic tilt, lateral flexion, and rotation, and measure their anatomical angles. The outputs of both E-Skin and ViMove sensors were recorded during each experiment and further analysed to build the comparative models to evaluate the performance of detecting and measuring LPMs. Results: E-Skin sensor outputs showed a persistently repeating pattern for each movement. Due to the ability to sense minor skin deformation by E-skin sensor, its reaction time in detecting lumbar–pelvic movement is quicker than ViMove by ~1 s. Conclusions: E-Skin sensors offer new capabilities for detecting and measuring lumbar–pelvic movements. They have lower cost compared to commercially available IMU-based systems and their non-invasive highly stretchable characteristic makes them more comfortable for long-term use. These features make them a suitable sensing technology for developing continuous, out-of-hospital real-time monitoring and management systems for individuals with low back pain.

15 citations


Cites background or methods from "Finger movement based attender call..."

  • ...Because of its high sensitivity, most of studies have used E-Skin sensors to measure subtle body movements such as the movement of fingers [63,64]....

    [...]

  • ...However, current studies use the E-Skin sensors for measuring movements such as the motion of the throat muscles [83] or fingers [64]....

    [...]

Proceedings ArticleDOI
24 Jul 2014
TL;DR: The present study delineates the development of a wireless EMG control system that eliminates the presently implemented complex wired control system and was tested using a miniaturized wheelchair model.
Abstract: Electromyogram (EMG) - controlled devices are being explored for controlling the functioning of the rehabilitation devices. The main advantage of these devices is the hands-free operation with minimal need for assistance. The present study delineates the development of a wireless EMG control system. The proposed control system was tested using a miniaturized wheelchair model. The proposed control system eliminates the presently implemented complex wired control system. The developed control system may also be used for operating other rehabilitation aids (e.g. robotic arm).

15 citations

Proceedings ArticleDOI
30 Jul 2019
TL;DR: This model suggested as a good alternative assistive technique for those suffering from extremely limited peripheral mobility and individuals suffered from Parkinson’s disease and Arthritis who claimed the current joystick on electric wheelchairs can be difficult to use.
Abstract: This paper presents a proposed prototype model on the development of the wireless EMG control system application in the medical telemetry world. The area of the acquiring signal that has been focused is at the muscle activity of the arm. The current problems and motivations in relation to the development of proposed model described as to eliminate of the presently implemented complex wired control system. The objective of this model development is to design low cost portable wireless EMG control system by developing simple prototype using a miniaturized wheelchair model. Hence, by promoting this model, this model can be implemented in the real wheelchair for penetrating the market of rehabilitation aids device and equipment. The present study delineates the development of a wireless EMG control system conducted in separated parts. First, it deals with acquiring EMG signal, secondly, the classification of EMG signal and thirdly, the application of EMG signal. This proposed model suggested as a good alternative assistive technique for those suffering from extremely limited peripheral mobility and individuals suffered from Parkinson’s disease and Arthritis who claimed the current joystick on electric wheelchairs can be difficult to use. Moreover, the users learn to maneuver themselves independently with minimal need for assistance can be implemented.This paper presents a proposed prototype model on the development of the wireless EMG control system application in the medical telemetry world. The area of the acquiring signal that has been focused is at the muscle activity of the arm. The current problems and motivations in relation to the development of proposed model described as to eliminate of the presently implemented complex wired control system. The objective of this model development is to design low cost portable wireless EMG control system by developing simple prototype using a miniaturized wheelchair model. Hence, by promoting this model, this model can be implemented in the real wheelchair for penetrating the market of rehabilitation aids device and equipment. The present study delineates the development of a wireless EMG control system conducted in separated parts. First, it deals with acquiring EMG signal, secondly, the classification of EMG signal and thirdly, the application of EMG signal. This proposed model suggested as a good alterna...
References
More filters
Journal ArticleDOI
TL;DR: A class of wearable and stretchable devices fabricated from thin films of aligned single-walled carbon nanotubes capable of measuring strains up to 280% with high durability, fast response and low creep is reported.
Abstract: Thin films of single-wall carbon nanotube have been used to create stretchable devices that can be incorporated into clothes and used to detect human motions.

2,790 citations


"Finger movement based attender call..." refers background in this paper

  • ...Further innovations have revealed a class of wearable and stretchable devices fabricated from thin films of aligned single-walled carbon nanotubes for human motion analysis [6]....

    [...]

Journal ArticleDOI
TL;DR: A detailed overview of the field of glove-based input devices can be found in this paper, where the authors provide a basis for understanding the field by describing key hand-tracking technologies and applications using gloves.
Abstract: Clumsy intermediary devices constrain our interaction with computers and their applications. Glove-based input devices let us apply our manual dexterity to the task. We provide a basis for understanding the field by describing key hand-tracking technologies and applications using glove-based input. The bulk of development in glove-based input has taken place very recently, and not all of it is easily accessible in the literature. We present a cross-section of the field to date. Hand-tracking devices may use the following technologies: position tracking, optical tracking, marker systems, silhouette analysis, magnetic tracking or acoustic tracking. Actual glove technologies on the market include: Sayre glove, MIT LED glove, Digital Data Entry Glove, DataGlove, Dexterous HandMaster, Power Glove, CyberGlove and Space Glove. Various applications of glove technologies include projects into the pursuit of natural interfaces, systems for understanding signed languages, teleoperation and robotic control, computer-based puppetry, and musical performance. >

754 citations

Journal ArticleDOI
TL;DR: Recent progress in human movement detection/tracking systems in general, and existing or potential application for stroke rehabilitation in particular are reviewed.

749 citations


"Finger movement based attender call..." refers background in this paper

  • ...Cyber glove and power glove have further overcome the drawbacks faced by the data gloves [4]....

    [...]

Journal ArticleDOI
01 May 1986
TL;DR: Applications of the glove and its component technologies include its use in conjunction with a host computer which drives a real-time 3-dimensional model of the hand allowing the glove wearer to manipulate computer-generated objects as if they were real, interpretation of finger-spelling, evaluation of hand impairment in addition to providing an interface to a visual programming language.
Abstract: This paper reports on the development of a hand to machine interface device that provides real-time gesture, position and orientation information. The key element is a glove and the device as a whole incorporates a collection of technologies. Analog flex sensors on the glove measure finger bending. Hand position and orientation are measured either by ultrasonics, providing five degrees of freedom, or magnetic flux sensors, which provide six degrees of freedom. Piezoceramic benders provide the wearer of the glove with tactile feedback. These sensors are mounted on the light-weight glove and connected to the driving hardware via a small cable.Applications of the glove and its component technologies include its use in conjunction with a host computer which drives a real-time 3-dimensional model of the hand allowing the glove wearer to manipulate computer-generated objects as if they were real, interpretation of finger-spelling, evaluation of hand impairment in addition to providing an interface to a visual programming language.

445 citations

Journal ArticleDOI
TL;DR: This paper presents a new human motion tracking system using two wearable inertial sensors that are placed near the wrist and elbow joints of the upper limb, incorporating measurements from the tri-axial accelerometer and gyroscope, and demonstrates that this new system, compared to an optical motion tracker, has RMS position errors that are normally less than 0.01 m, and RMS angles that are 2.5-4.8 degrees.

236 citations


"Finger movement based attender call..." refers background in this paper

  • ...Each of these inertial sensors comprised of a tri-axial accelerometer, a tri-axial gyroscope and a tri-axial magnetometer [7]....

    [...]