HOPE: An electronic gadget for home-bound patients and elders

Megalingam, Rajesh Kannan; Unnikrishnan, Deepak Krishnan Melepurath; Radhakrishnan, Vineeth; Jacob, Denny Chakko

doi:10.1109/indcon.2012.6420814

Cited by 15 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In many of these articles, a data fusion technique is used to integrate multiple data sources into meaningful information. The other 28 articles investigate only on-body sensors [ 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 , 136 , 141 , 142 ]. Moreover, half of the articles employ mobile devices such as smart phones or PDAs as base stations.…”

Section: Summary Of Recent Research Articlesmentioning

confidence: 99%

“…Moreover, half of the articles employ mobile devices such as smart phones or PDAs as base stations. 16 articles out of 35 articles used classic Bluetooth as the main wireless communication technology [ 109 , 110 , 111 , 112 , 113 , 122 , 123 , 128 , 130 , 131 , 133 , 138 , 139 , 141 , 142 , 143 ]. Therefore, classic Bluetooth is considered as the most popular technology among the included articles.…”

Section: Summary Of Recent Research Articlesmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments

Ghamari

Janko

Sherratt

et al. 2016

Sensors

261

134

View full text Add to dashboard Cite

Current progress in wearable and implanted health monitoring technologies has strong potential to alter the future of healthcare services by enabling ubiquitous monitoring of patients. A typical health monitoring system consists of a network of wearable or implanted sensors that constantly monitor physiological parameters. Collected data are relayed using existing wireless communication protocols to a base station for additional processing. This article provides researchers with information to compare the existing low-power communication technologies that can potentially support the rapid development and deployment of WBAN systems, and mainly focuses on remote monitoring of elderly or chronically ill patients in residential environments.

show abstract

Section: Summary Of Recent Research Articlesmentioning

confidence: 99%

Section: Summary Of Recent Research Articlesmentioning

confidence: 99%

A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments

Ghamari

Janko

Sherratt

et al. 2016

Sensors

261

134

View full text Add to dashboard Cite

show abstract

“…Examples of this are the smart sensor in [148] (inertial sensors to detect falls and night epileptic seizures) and in [149] (proposed for measuring heart and temperature rates). Most of these systems are developed for patient monitoring outside the hospital (homecare) [150], based on the cost savings that medical equipment adds to the treatment [151]. Furthermore, systems working with sensor fusion and smart sensors techniques mostly can be used remotely, relying on wireless communication modules for data analysis on other devices, using biotelemetry [152] and e-Health concepts [153].…”

Section: Biomedical Applicationsmentioning

confidence: 99%

“…Photoplethysmography (PPG) techniques, temperature measurement, and the use of acceleration to monitor heart rate, body temperature, falls and inclination of a patient while sleeping, in a smart sensor [150] is an example of these mentioned systems. Similar to this is the remote body temperature measurement by thermoresistive sensor and heart rate by PPG, which can detect hyperthermia, hypothermia, tachycardia, and bradycardia [111].…”

Section: Biomedical Applicationsmentioning

confidence: 99%

Sensor Fusion and Smart Sensor in Sports and Biomedical Applications

Mendes

Vieira

Pires

et al. 2016

Sensors

101

View full text Add to dashboard Cite

The following work presents an overview of smart sensors and sensor fusion targeted at biomedical applications and sports areas. In this work, the integration of these areas is demonstrated, promoting a reflection about techniques and applications to collect, quantify and qualify some physical variables associated with the human body. These techniques are presented in various biomedical and sports applications, which cover areas related to diagnostics, rehabilitation, physical monitoring, and the development of performance in athletes, among others. Although some applications are described in only one of two fields of study (biomedicine and sports), it is very likely that the same application fits in both, with small peculiarities or adaptations. To illustrate the contemporaneity of applications, an analysis of specialized papers published in the last six years has been made. In this context, the main characteristic of this review is to present the largest quantity of relevant examples of sensor fusion and smart sensors focusing on their utilization and proposals, without deeply addressing one specific system or technique, to the detriment of the others.

show abstract

“…It relies on Bluetooth to deliver information to a mobile device for processing. HOPE, the system proposed by Megalingam et al, can send its collected data on heart rate, body temperature, tilt and fall detection to a Bluetooth enabled device [8]. It works by sending raw data and is limited by the requirement for proximity to a powerful processing unit.…”

Section: A Raw Data Transmission Scenario (Rdts)mentioning

confidence: 99%

UNCHAIN - Ubiquitous Wireless Network Communication Architecture for Ambient Intelligence and Health Scenarios

Rosner

Tataroiu

Gheorghe

et al. 2014

2014 International Workshop on Secure Internet of Things

View full text Add to dashboard Cite

Ambient intelligence techniques and smart Internet of Things objects are empowering healthcare professionals to provide better services based on improved vitalsigns data enriched with contextual information. In this paper, we provide an overview of current solutions and propose a new taxonomy for ambient and health sensor data, based on three selected metrics. The proposed UNCHAIN architecture provides a ubiquitous communication system designed to grant seamless integration of current sensor solutions, and to maximize two identified limitations: range and autonomy. Finally, the proposed architecture is validated through a hardware implementation, with impressive results in terms of energy efficiency.

show abstract

HOPE: An electronic gadget for home-bound patients and elders

Cited by 15 publications

References 5 publications

A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments

A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments

Sensor Fusion and Smart Sensor in Sports and Biomedical Applications

UNCHAIN - Ubiquitous Wireless Network Communication Architecture for Ambient Intelligence and Health Scenarios

Contact Info

Product

Resources

About