Remote Medical Monitoring Through Vehicular Ad Hoc Network

Noshadi, Hyduke; Giordano, Eugenio; Hagopian, Hagop; Pau, Giovanni; Gerla, Mário; Sarrafzadeh, Majid

doi:10.1109/vetecf.2008.456

Cited by 20 publications

(10 citation statements)

References 9 publications

(8 reference statements)

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“…The information must be quickly" transported" to the designated medical team. Hyduke Noshadi et al [14] presented an evaluation of of the VANET as a technique of collecting patient pre-recorded physiological data and at the same time reconfiguring patient medical wearable body vests to select the data specifically requested by the physicians. Another important use of vehicular collection of medical data from body vests is prompted by the need to correlate pedestrian reaction to vehicular traffic hazards such as chemical and noise pollution and traffic congestion.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Healthcare Monitoring System in Vehicular Ad Hoc Networks

Umamaheswari¹,

Priya²

2013

IJCA

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The proper management of personal health information is important to the healthcare system. The major challenge for patients is collecting their health information in one location so that it will be accessible to them and to the providers with whom they wish to consult. These records are generally not exchanged and updated unless the sites are part of a network of providers that share common information systems. In recent years, there has been a tremendous increase in the utilization of wireless sensors in the medical field in order to monitor patient's health records in real time. A new trends in ad hoc network are Vehicular Ad Hoc Networks (VANETs) and Wireless sensor networks. In this paper, the VANET and Wireless Body Sensor Network (WBSN) technologies are shared together to form an efficient healthcare monitoring system. Particularly, medical assistant is not needed to monitor in the patient's home or hospital surroundings. As an alternative, patients are prepared with a smart phone and WBSN formed by body sensor nodes. By using the WBSN, the patient's Personal Health Information (PHI) is collected together. By using VANET technology ambulance and medical personnel will be sent to the patient's location. This approach will lessen the complexity and time taken for assistance Keywords Vehicular Ad Hoc Network, Personal Health Information, wireless body sensor network, GPS systems

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Section: Related Workmentioning

confidence: 99%

An Efficient Healthcare Monitoring System in Vehicular Ad Hoc Networks

Umamaheswari¹,

Priya²

2013

IJCA

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“…We evaluate our algorithm on the Hermes shoe platform, which is designed to assess balance and instability in patients [14]. It consists of ninety nine pressure sensors distributed in each insole and integrated with a common computing platform.…”

Section: A the Hermes Shoe Platformmentioning

confidence: 99%

Medical diagnostic-based sensor selection

Wendt

Potkonjak

2011

2011 IEEE SENSORS Proceedings

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Abstract-Wearable sensing systems have facilitated a variety of applications in Wireless Health. Due to the considerable number of sensors and their constant monitoring these systems are often expensive and power hungry. Traditional approaches to sensor selection in large multisensory arrays attempt to alleviate these issues by removing redundant sensors while maintaining overall sensor predictability. However, predicting sensors is unnecessary if ultimately the system needs only to quantify diagnostic measurements specific to the application domain. We propose a new method for optimizing the design of medical sensor systems through diagnostic-based bottom-up sensor selection. We reduce the original sensor array from ninety nine to twelve sensors while maintaining a prediction error rate of less than 5% over all diagnostic metrics in our testing dataset.

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“…Hermes is a lightweight smart shoe designed to assess mobile balance and instability in human patients [14]. It consists of low-cost off-the-shelf sensors integrated with a common embedded computing platform, and can interface with a smartphone with bluetooth and GPRS capabilities for data processing, storage, and transmission.…”

Section: A the Hermes Platformmentioning

confidence: 99%

Semantic multimodal compression for wearable sensing systems

et al. 2010

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Abstract-Wearable sensing systems (WSS's) are emerging as an important class of distributed embedded systems in application domains ranging from medical to military. Such systems can be expensive and power hungry due to their multisensor implementations that require constant use, yet by nature they demand low-cost and low-power implementations. Semantic multimodal compression (SMC) mitigates these metrics in terms of data size by leveraging the natural tendency of signals in many types of embedded sensing systems to be composed of phases. In our driving example of a medical shoe with an insole lined with pressure sensors, we find that the natural airborne, landing, and take-off segments have sharply different and repetitive properties. SMC models and compresses each segment independently, selecting the best compression scheme for each segment and thus reducing total transmission energy.

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Remote Medical Monitoring Through Vehicular Ad Hoc Network

Cited by 20 publications

References 9 publications

An Efficient Healthcare Monitoring System in Vehicular Ad Hoc Networks

An Efficient Healthcare Monitoring System in Vehicular Ad Hoc Networks

Medical diagnostic-based sensor selection

Semantic multimodal compression for wearable sensing systems

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