Experimental Evaluation of Impulsive Ultrasonic Intra-Body Communications for Implantable Biomedical Devices

Santagati, G. Enrico; Melodia, Tommaso

doi:10.1109/tmc.2016.2561277

Cited by 68 publications

(43 citation statements)

References 29 publications

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“…Inductive coupling and radio frequency (RF) telemetry are frequently used for implanted communications [216]. However, one of the main drawbacks for achieving an efficient communication link between implanted devices is posed by the fact that human body is primarily composed by water, a medium through which RF electromagnetic waves do not propagate well, even at relatively low frequencies [217]. The design of antennas for medical implants is very challenging due to the small size, low power, biocompatibility [215], and safety requirements [49], among others.…”

Section: Ibc For Implanted Systemsmentioning

confidence: 99%

Past Results, Present Trends, and Future Challenges in Intrabody Communication

Naranjo-Hernández

Callejón-Leblic

Vasić

et al. 2018

Wireless Communications and Mobile Computing

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Intrabody communication (IBC) is a wireless communication technology using the human body to develop body area networks (BANs) for remote and ubiquitous monitoring. IBC uses living tissues as a transmission medium, achieving power-saving and miniaturized transceivers, making communications more robust against external interference and attacks on the privacy of transmitted data. Due to these advantages, IBC has been included as a third physical layer in the IEEE 802.15.6 standard for wireless body area networks (WBANs) designated as Human Body Communication (HBC). Further research is needed to compare both methods depending on the characteristics of IBC application. Challenges remain for an optimal deployment of IBC technology, such as the effect of long-term use in the human body, communication optimization through more realistic models, the influence of both anthropometric characteristics and the subject's movement on the transmission performance, standardization of communications, and development of small-size and energy-efficient prototypes with increased data rate. The purpose of this work is to provide an indepth overview of recent advances and future challenges in human body/intrabody communication for wireless communications and mobile computing.

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Section: Ibc For Implanted Systemsmentioning

confidence: 99%

Past Results, Present Trends, and Future Challenges in Intrabody Communication

Naranjo-Hernández

Callejón-Leblic

Vasić

et al. 2018

Wireless Communications and Mobile Computing

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“…In [34], an implantable pressure sensor was tested with a data-rate of 40 Kbps and a transmit power of 100 µW through a 12 cm tick castor oil. Also, in [35] an ultrasonic wideband system communicating through a human kidney phantom at 10 cm was demonstrated with a data-rate of 700 Kbps and a power consumption of 40 µW at a BER of 10 −6 .…”

Section: B Ultrasonic Technologiesmentioning

confidence: 99%

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Haddad

Khalighi

2019

2019 Global LIFI Congress (GLC)

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The increasing percentage of aging population and chronic diseases on one hand, and the advances in the development of integrated short range wireless technologies on the other hand, have created a growing interest in the development of medical telemonitoring and telecare systems through the use of medical on-body sensor networks, also known as medical wireless body area networks (WBANs). This paper provides an overview of the main wireless technologies that can be used for WBANs in the medical domain and discusses the major requirements in such applications. While radio frequency technologies are well established solutions for interconnecting WBANs, the high risk of interference in such networks motivates the use of alternative or complementary technologies including optical wireless communications.Index Terms-Wireless sensor networks; body area networks; medical on-body networks; optical wireless communications.

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“…Perkembangan penelitian dalam bidang biomedical engineering sangatlah pesat, khususnya dalam bidang pemrosesan sinyal biomedis. Sinyal biomedis merupakan sinyal yang dapat diukur dan dianalisis untuk mengetahui informasi mengenai struktur dan fungsi dari sistem biologis sebuah organ tubuh (Santagati, et al, 2017). Sinyal biomedis terjadi akibat proses fisiologi yang terjadi di dalam tubuh manusia.…”

Section: Pendahuluanunclassified

Pengkondisian Sinyal Electromyography sebagai Identifikasi Jenis Gerakan Lengan Manusia

Maulana

Putri

2018

JTIIK

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Sinyal biomedis merupakan sinyal yang diperoleh dari dalam tubuh manusia yang membawa informasi mengenai gambaran kondisi jaringan atau organ terkait dengan sinyal biomedis tersebut. Electromyography (EMG) merupakan salah satu teknik yang bisa digunakan untuk merekam sinyal biomedis dalam mengetahui informasi dari pergerakan otot lengan. Sinyal-sinyal biomedis tidak hanya dipergunakan untuk mendeteksi adanya gangguan pada jaringan atau organ tubuh manusia, namun bisa juga digunakan untuk memberikan gambaran dari sebuah organ dalam melakukan suatu mekanisme kerja. Sinyal EMG menghasilkan sinyal sesuai dengan gerakan yang dilakukan oleh lengan, namun sinyal yang dihasilkan dari elektroda masih tercampur oleh sinyal noise yang dihasilkan oleh beberapa sumber. Akibatnya pendeteksian sinyal EMG menjadi kurang optimal. Untuk mengatasi hal tersebut diperlukan sebuah sistem yang dapat melakukan pembacaan sinyal EMG dan menghilangkan noise yang ada pada sinyal. Pada penelitian ini dirancang sebuah rangkaian pengkondisi sinyal yang terdiri dari penguat instrumentasi, high pass filter (HPF) dan low pass filter (LPF). Rangkaian ini digunakan untuk memproses sinyal yang dihasilkan oleh elektroda yang ditempatkan pada lengan manusia. Sinyal yang telah diproses akan dianalisis besar amplitudonya untuk dapat ditentukan jenis gerakan lengan yang sedang dilakukan. Dari hasil pengujian didapatkan nilai amplitudo rata-rata sebesar 0.252 V untuk gerakan lengan lurus, 1.138 V untuk gerakan lengan membentuk sudut 90° dan 1.774 V untuk gerakan lengan membentuk sudut 180°. Abstract Biomedical signal is signals obtained from the human body that carry information about the condition of tissues or related organs. Electromyography (EMG) is one method in biomedical field that can be used to record biomedical signal to gain the information about arm muscle activity. The EMG signal generates signals according to the movement performed by the arm, however the signals generated from the electrode are still contaminated by noise signals generated by multiple sources, as a result the EMG signal detection becomes less accurate. To resolve these problems, it is necessary a system that can perform EMG signals detection and remove the noise from EMG signals. In this research, we have designed a signal conditioning circuit consist of instrumentation amplifier, high pass filter and low pass filter. This circuit was used to process signals generated by the electrode placed on the arm. The results of the signal conditioning circuit are reprocessed using an exponential filter to obtain a more accurate signal. The signals that have been processed will be analyzed the amplitude to determine the type of arm movement performed. From the test results obtained average amplitude of 0.166 V for straight arm movement, 0.588 V for the 45° arm movement, 1.049 V for the 90° arm movement, 1.367 V for the 135° arm movement and 1.647 V for the 180° arm movement. In addition, the system has an accuracy of 86.67% in determining the type of arm movement.

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Experimental Evaluation of Impulsive Ultrasonic Intra-Body Communications for Implantable Biomedical Devices

Cited by 68 publications

References 29 publications

Past Results, Present Trends, and Future Challenges in Intrabody Communication

Past Results, Present Trends, and Future Challenges in Intrabody Communication

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Pengkondisian Sinyal Electromyography sebagai Identifikasi Jenis Gerakan Lengan Manusia

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