A Better Engineering Design: Low Cost Assistance Kit for Manual Wheelchair Users with Enhanced Obstacle Detection

Dryvendra, Dryvendra; Ramalingam, Mritha; Chinnavan, Elanchezhian; Puviarasi, Puviarasi

doi:10.5614/j.eng.technol.sci.2015.47.4.4

Cited by 13 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed system is developed by utilizing microcontroller, buzzer and sensors. The microcontroller will act as the main controller of the system [11,12]. All these technologies will be integrated with the patient"s exercising machine.…”

Section: Figure 4 Block Diagram Of the Proposed Systemmentioning

confidence: 99%

Developing A Sensor Based Alerting System For Stroke Patients’ Safety

Ramalingam¹,

Puviarasi²,

Chinnavan³

et al. 2019

IJITEE

Self Cite

View full text Add to dashboard Cite

With the expanding number in the elderly populace, as well as the changes in lifestyle emergence that causes several chronic diseases. Stroke is one of the main chronic disease that leads to disability and death. So, it is necessary to monitor the health status of the patients to prevent from fatal disorders. If affected by stroke, in order to improve the function and gain as much independent as possible, the stroke patients have to do some rehabilitation. The selection of medicinal services innovation is promising to improve the personal satisfaction for endless illness patients and the elderly and an individual. This paper proposes a promising innovation by discussing some of the existing, related works. This paper is aimed to develop a system that can measure stroke patients’ vital sign during their rehabilitation using microcontroller and sensor technology. As a result, the system will prevent the patients to suffer from further stroke or fatal. Also, the system will produce alarm as an alert to the assisting person of the patient.

show abstract

Section: Figure 4 Block Diagram Of the Proposed Systemmentioning

confidence: 99%

Developing A Sensor Based Alerting System For Stroke Patients’ Safety

Ramalingam¹,

Puviarasi²,

Chinnavan³

et al. 2019

IJITEE

Self Cite

View full text Add to dashboard Cite

show abstract

“…The sensor module use infra-red LEDs (Light emitting diodes) to detect the changes in volume level of blood as the light intensity of the infrared LEDs changes based on the volume level of blood. The value collected by the pulse rate sensor will be processed to result in beats per minute [17].…”

Section: B Pulse Sensormentioning

confidence: 99%

“…The health care systems in IoT are designed by using the emerging technologies such as wireless sensor networks [13,14], cloud computing, big data technology, Global positioning system (GPS) technology, zigbee technology [15], Bluetooth technology [16], micro-electronic systems etc. The microcontrollers are usually programmed using any compatible programming languages and integrated development environment (IDE) [17].…”

Section: Introductionmentioning

confidence: 99%

Self-Monitoring Framework For Patients In Iot-Based Healthcare System

Ramalingam¹,

Puviarasi²,

Chinnavan³

et al. 2019

IJITEE

Self Cite

View full text Add to dashboard Cite

With the recent developments in Internet of Things (IoT) and the increase of smartphone users, patient’s health can be monitored without visiting the hospital for medical services. Nowadays, the cost of healthcare is high and insufficient of workforce in the hospital caused the patient unwilling to visit the hospital. The proposed work is to design a monitoring system using sensor and microcontroller to be used by the patients at their place (eg. home). This paper discusses the designing process of the framework. This system will allow the patient to measure their pulse rate and body temperature by using sensors and data collected from the sensor are integrated by using a microcontroller. These acquired patients data could be viewed in mobile application. In addition, the system will provide features such as consultation or chat facility and medical reminder to further improve the feasibility of patients’ health care system.

show abstract

“…Nowadays, the health care devices are incorporating several engineering technologies (Puviarasi et al, 2018) such as microcontrollers, sensors, etc., in the design (Dryvendra et. al, 2015;Gurubaran et al, 2014;Kasilingam et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Alarm device for self-tracking of progression during wrist rehabilitation

Ramalingam

Chinnavan

Jasmi

et al. 2019

IJPHM

Self Cite

View full text Add to dashboard Cite

This study aims to design an alarming device for patients requiring wrist rehabilitation. Wrist injury due to accident, sports, stroke, and prolonged hand immobilization often requires physical therapy for rehabilitation to reduce pain, improve range of motion (ROM), and regain strength and function. Physical therapists use a goniometer to measure ROM. Although systematic treatment for wrist rehabilitation is physical therapy, current researchers are seeking an alternative and self-educative procedure based on engineering principles. This paper proposes a self-educative assessment and progress tracking design by exploiting an engineering design. This design is aided by a microcontroller, interfaced with sensors and display unit to measure wrist orientation of patients. The sensors measure the ROM of patients. This system uses a buzzer as an alarm tool for the patients during therapy. If the patients have achieved targeted movements, a beep sound would be produced to notify the patients. Thus, patients will be attentive in the treatment and motivated to proceed with the therapy. Visualization of the ROM through the display unit and alarm signal acts as an educating platform. The prototype was administered on five subjects with reduced ROM in wrist. Results showed that the proposed design increases ROM and self-educate the patients with wrist injuries (p<0.05).

show abstract

A Better Engineering Design: Low Cost Assistance Kit for Manual Wheelchair Users with Enhanced Obstacle Detection

Cited by 13 publications

References 9 publications

Developing A Sensor Based Alerting System For Stroke Patients’ Safety

Developing A Sensor Based Alerting System For Stroke Patients’ Safety

Self-Monitoring Framework For Patients In Iot-Based Healthcare System

Alarm device for self-tracking of progression during wrist rehabilitation

Contact Info

Product

Resources

About