A wireless capsule endoscope (WCE) is a promising medical device for diagnosis of digestive organs, which takes pictures inside digestive organs, such as large and small intestines and transmits them through implant wireless communications. In a realistic WCE scenario, it is important to precisely estimate the WCE location. Generally, the superiority of TOA-based localization over RSSI-based localization has been […]
Read moreIn this paper, a general purpose wireless Brain- Machine -Brain Interface (BMBI) system is presented. The system integrates four battery-powered wireless devices for the implementation of a closed-loop sensorimotor neural interface, including a neural signal analyzer, a neural stimulator, a body-areasensor node and a graphic user interface implemented on the PC end. The neural signal analyzer features a four channel […]
Read moreA Microwave Imaging-Based Technique to Localize an In-Body RF Source for Biomedical Applications
In some biomedical applications such as wireless capsule endoscopy, the localization of an in-bodyradio-frequency (RF) source is important for the positioning of any abnormality inside the gastrointestinal tract. With knowledge of the location, therapeutic operations can be performed precisely at the position of the abnormality. Electrical properties (relative permittivity and conductivity) of the tissues and […]
Read moreThe temporal variation of spatial correlation between on-body radio links is empirically characterized for different walking scenarios. Nonstationary behaviors are highlighted, and a model is proposed for the long-term fading correlation.
Read moreChallenges arose from body effect in design of implant and on-body antennas, has dominated bodyarea network base station antenna design researches. However, design of an efficient base station antenna in a compact size is also a challenge. This letter presents a miniaturized omni-directional antenna in two bands of 403.5 MHz for medical implant communication services (MICS) and 2.45 GHz for industrial, […]
Read moreUltra-low-power design has been a challenging area for design of the sensor front-ends especially in the area of Wireless Body Sensor Nodes (WBSN), where a limited amount of power budget and hardware resources are available. Since introduction of Compressed Sensing, there has been a challenge to design CS-based low-power readout devices for different applications and among all for biomedical signals. Till now, […]
Read moreBody sensors have gained increasing interest during the past several years. With more applications deployed, it is imperative to ensure the success of data analysis, which largely depends on data transmission reliability as well as the importance of samples received. Traditional approaches focus on improving data reliability through various schemes such as prioritization of MAC […]
Read moreAn increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart […]
Read moreFolded Cavity-Backed Crossed-Slot Antenna
A folded, cavity-backed crossed-slot antenna is proposed for antenna miniaturization. The cavity dimensions of a conventional cavity-backed crossed-slot antenna are about a half-guided-wavelength along each side, which is unsuitable in many applications like a handheld device or body area network(BAN). To reduce the size of the cavity, a folded cavity is proposed in this letter. The center plate […]
Read moreWe investigate the process of transferring the activity recognition models within the nodes of a bodysensor network (BSN). In particular, we propose a methodology that supports and makes the transferring possible. Based on a collaborative training strategy, classifier ensembles of randomized trees are used to create activity recognition models that can successfully be transferred within the nodes of […]
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