Energy Harvesting from the Human Body and Powering up Implant Devices

Kerley, Ross; Huang, Xiucheng; Ha, Dong Sam

doi:10.1007/978-94-017-9990-4_5

Cited by 9 publications

(5 citation statements)

References 56 publications

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“…These device developments are well reviewed in literature, with the best performing devices having achieved peak power densities up to 8.5 mW/cm 3 . [76][77][78] That said, limitations with this form of harvesting derive from the obtrusiveness and durability of the harvester and requisite power electronics, issues regarding the relay of power to the target IoT application, and the fact that no power is generated when the wearer is idle. To overcome the last limitation, scientists have proposed harvesting human energy from passive physiological sources, such as movement of the heart or lungs to power biomedical devices.…”

Section: Flow Systems (Wind and Hydromentioning

confidence: 99%

Review—Power Sources for the Internet of Things

Raj

Steingart

2018

J. Electrochem. Soc.

145

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Wireless sensor networks have become integral to enabling numerous applications for the Internet of Things, such as environmental sensing or healthcare monitoring. Powering these networks has been the focus of significant research efforts due to the need for reliable and continuous operation of the sensing nodes. In this review, we outline the progress made in the sensing nodes with a particular focus on their power demands. These requirements are used as a framework for surveying the theoretical limits and developments for various power sources, including energy storage, power distribution, and power scavenging techniques. Finally, we conclude by identifying that harvesting techniques are largely insufficient for powering IoT nodes due to limited power densities or inconsistencies as to when power is harvested; accordingly, direct wiring and storage sources such as batteries are the most promising approaches for IoT applications.

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Section: Flow Systems (Wind and Hydromentioning

confidence: 99%

Review—Power Sources for the Internet of Things

Raj

Steingart

2018

J. Electrochem. Soc.

145

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“…HE research of a suitable alternative to bulky batteries to power Electronic Medical Devices (EMDs) is nowadays one of the most important research topic in bioelectronics, in particular to power Implanted Medical Devices (IMDs) [1][2][3][4][5]. Batteries are energy inefficient, unsustainable and need to be recharged/replaced, demanding surgery in case of implants.…”

Section: Introductionmentioning

confidence: 99%

Wireless In Vivo Biofuel Cell Monitoring

Trocchio

Carucci

Sindhu

et al. 2021

IEEE J. Electromagn. RF Microw. Med. Biol.

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Enzymatic reactions involving glucose hold the potential for building implantable biosensors and embedded power generators for various medical applications. While Biofuel cells (BFCs) such as enzymatic glucose/O2 are ensured to benefit from abundant chemical resources that can be harvested in the immediate environment of the human body, the highly critical in vivo kinetics of biofuel cell is not yet fully understood. Unfortunately, existing solutions for real-time monitoring of the reaction on rodents are not possible today, or too bulky, which has a biasing impact on the animal behavior. This work presents a light, battery-less, and wireless strategy to continuously monitor a BFC implanted in a laboratory rat using a Frequency Identification (RFID) link. An extremely lightweight and flexible tag antenna of footprint lower than 10 cm² is presented with communication capability above 60 cm in field environment. The operational capabilities are demonstrated with a 24-hour continuous monitoring of an enzymatic glucose/O2 reaction, both in vitro and in vivo. Keywords-RFID tags, biofuel cell, wearable sensors, in vitro, in vivo. for the future" Programme IdEx Bordeaux (ANR-10-IDEX-03-02), the ANR (Bio3, ANR-16-CE19-0001-01, animal experimentation and salary of CM). KRS and LDT received a doctoral fellowship from LabEx AMADEus

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“…Fortunately, due to low power requirements of common IMDs, which ranges from tens of μW to several mW, 4 the energy harvesting technologies 5 become an attractive alternative to achieve self‐sufficient power supply or prolong the life‐span of the batteries by harvesting energy from surroundings or human body. Considerable progress has hitherto been made in harvesting technologies for self‐powered IMDs 6,7,8,9,10,11 . Researchers have tried to excavate as many energy sources in the human body as possible to take advantage of them in various implantable energy harvesters.…”

Section: Introductionmentioning

confidence: 99%

“…Considerable progress has hitherto been made in harvesting technologies for self-powered IMDs. 6,7,8,9,10,11 Researchers have tried to excavate as many energy sources in the human body as possible to take advantage of them in various implantable energy harvesters. Such energy harvesters include biofuel cells 12,13,14 extracting electrochemical energy, piezoelectric 15,16,17 and triboelectric 18,19 energy harvesters that harness mechanical energy, as well as thermoelectric generators (TEGs) 20,21 that transform thermal energy of the body into electricity through the Seebeck effect.…”

mentioning

confidence: 99%

Efficient design optimization of a miniaturized thermoelectric generator for electrically active implants based on parametric model order reduction

Rao

Yuan

Sadashivaiah

et al. 2021

Numer Methods Biomed Eng

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This research focuses on the design of a miniaturized thermoelectric generator (TEG) for electrically active implants. Its design optimization is performed using the finite element method. A simplified TEG model is obtained by replacing the thermocouple array with a single representative thermopile, which considers the number and fill factor of the thermocouples as parameters. Instead of rebuilding the geometry of a detailed model with multiple thermocouples, the simplified model adapts the material properties of its representative thermopile, facilitating design optimization. We extend the model by integrating the simplified TEG together with a housing inside a human tissue model for thermoelectric analysis. For computation efficiency and applicability of model order reduction (MOR), a thermal model is derived from the thermoelectric one, with the Peltier effect being considered through an effective thermal conductivity. Through parametric MOR, two parametric reduced‐order models are generated from the full‐scale thermoelectric and thermal model, respectively. Furthermore, we demonstrate the design optimization of TEG both in full‐scale and reduced‐order model for maximal power output and sufficient voltage output.

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Energy Harvesting from the Human Body and Powering up Implant Devices

Cited by 9 publications

References 56 publications

Review—Power Sources for the Internet of Things

Review—Power Sources for the Internet of Things

Wireless In Vivo Biofuel Cell Monitoring

Efficient design optimization of a miniaturized thermoelectric generator for electrically active implants based on parametric model order reduction

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