Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks

Gupta, Shagun; Kakkar, Vipan; Ahmed, Suhaib; Khanday, Farooq Ahmad; Sharma, Sparsh; Singh, Saurabh; Yoon, Boram

doi:10.1109/access.2021.3094227

Cited by 9 publications

(4 citation statements)

References 50 publications

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“…Zainal et al (2016) made a working prototype using PPG (Photoplethysmography) sensors to collect blood pressure data and upload it to the cloud using a proprietary application and MATLAB for real-time monitoring. Another research (Gupta et al, 2021) uses an implantable lab-on-chip platform for continuous monitoring of blood pressure data. A proposed solution is a low-cost IoT-based remote HRV monitoring system using the MQTT protocol using ZigBee and Arduino over the cloud (Kirtana and Lokeswari, 2017).…”

Section: Monitoring Clinical Healthcare Parametersmentioning

confidence: 99%

IoT-Based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

Ali,

Khan

2024

IJAIML

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This paper is a review of the current state of IoT-based technologies in the healthcare field for the elderly population. The increasing population of elderly people has led to a greater demand for healthcare services to meet their unique needs. IoT-based technologies have emerged as a promising solution to address this demand. The paper analyzes the current trends, challenges, and future opportunities for research in this area. It highlights how IoT-based technologies can be utilized to improve healthcare for older adults, from remote monitoring and telemedicine to fall detection and medication management. The paper also acknowledges that there are still challenges to be addressed, such as data privacy and security, but the potential benefits for older adults outweigh the challenges. The paper also examines the impact of the industrial revolution on the aging population and the corresponding increase in demand for geriatric healthcare. In summary, this paper delves into the current status of IoT-based technologies in geriatric healthcare and its future prospects, with a focus on addressing the needs of the aging population and improving their quality of life.

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Section: Monitoring Clinical Healthcare Parametersmentioning

confidence: 99%

IoT-Based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

Ali,

Khan

2024

IJAIML

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show abstract

“…[131] made a working prototype using PPG (Photoplethysmography) sensors to collect blood pressure data and upload it to the cloud using a proprietary application and MATLAB for real-time monitoring. Another research [132] uses an implantable lab-on-chip platform for continuous monitoring of blood pressure data. A proposed solution is a low-cost IoT-based remote HRV monitoring system using the MQTT protocol using ZigBee and Arduino over the cloud [133].…”

Section: Monitoring Clinical Healthcare Parametersmentioning

confidence: 99%

IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

Ali¹,

Khan²

2023

Preprint

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This paper is a review of the current state of IoT-based technologies in the healthcare field for the elderly population. The increasing population of elderly people has led to a greater demand for healthcare services to meet their unique needs. IoT-based technologies have emerged as a promising solution to address this demand. The paper analyses the current trends, challenges, and future opportunities for research in this area. It highlights how IoT-based technologies can be utilized to improve healthcare for older adults, from remote monitoring and telemedicine to fall detection and medication management. The paper also acknowledges that there are still challenges to be addressed, such as data privacy and security, but the potential benefits for older adults outweigh the challenges. The paper also examines the impact of the industrial revolution on the aging population and the corresponding increase in demand for geriatric healthcare. In summary, this paper delves into the current status of IoT-based technologies in geriatric healthcare and its future prospects, with a focus on addressing the needs of the aging population and improving their quality of life.

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“…application fields of such devices include metabolite monitoring [10], hypertension monitoring [11], blood flow sensing [12], [13], blood glucose monitoring [14]- [16], wireless endoscopy [17]- [19], gastrointestinal (GI) pH, temperature [20], and gas sensing [21].…”

Section: Introductionmentioning

confidence: 99%

On the Use of Impedance Detuning for Gastrointestinal Segment Tracking of Ingestible Capsules

Cil

Soares

Renaudeau

et al. 2023

IEEE Trans. Antennas Propagat.

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Ingestible sensor devices, which are increasingly used for internal health monitoring, rely on antennas to perform sensing functions and simultaneously to communicate with external devices. Despite the development of various ingestible antennas, there has been no comprehensive comparison of their performance as biosensors. This paper addresses this gap by examining and comparing the suitability of three common types of ingestible antennas-dipole, patch, and loop-as biosensors for distinguishing gastrointestinal tissues (stomach, small intestine, and large intestine) based on their electromagnetic properties. The antennas studied in this work conform to the inner surface of biocompatible polylactic acid capsules with varying shell thicknesses and operate in the 433 MHz Industrial, Scientific, and Medical band. The comparison is performed in gastrointestinal tissues using several antenna parameters: 1) Sensing Capability: Changes in the phase of the reflection coefficient in the tissues are selected as the sensing parameter. 2) Robustness: The frequency interval (∆ f i ) in which the antennas are matched (|S 11 | < -10 dB) in all the tissues and the maximum change in the center frequency ( f c ) in different tissues are examined. 3) Radiation Performance:The gain and radiation efficiency of the antennas are examined. The effect of shell thickness on gain and radiation efficiency at 434 MHz is presented. Additionally, the radiation efficiency at various frequencies allocated for medical communications is compared with the theoretical maximum achievable efficiencies. These comprehensive data provide valuable information for making engineering decisions when designing multiplexed biosensor antennas for ingestible applications.

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Modeling of On-Chip Biosensor for the in Vivo Diagnosis of Hypertension in Wireless Body Area Networks

Cited by 9 publications

References 50 publications

IoT-Based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

IoT-Based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

On the Use of Impedance Detuning for Gastrointestinal Segment Tracking of Ingestible Capsules

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