Energy harvesting for human wearable and implantable bio-sensors
Abstract
There are clear trade-offs between functionality, battery lifetime and battery volume for wearable and implantable wireless-biosensors which energy harvesting devices may be able to overcome. Reliable energy harvesting has now become a reality for machine condition monitoring and is finding applications in chemical process plants, refineries and water treatment works. However, practical miniature devices that can harvest sufficient energy from the human body to power a wireless bio-sensor are still in their infancy. This paper reviews the options for human energy harvesting in order to determine power availability for harvester-powered body sensor networks. The main competing technologies for energy harvesting from the human body are inertial kinetic energy harvesting devices and thermoelectric devices. These devices are advantageous to some other types as they can be hermetically sealed. In this paper the fundamental limit to the power output of these devices is compared as a function of generator volume when attached to a human whilst walking and running. It is shown that the kinetic energy devices have the highest fundamental power limits in both cases. However, when a comparison is made between the devices using device effectivenesses figures from previously demonstrated prototypes presented in the literature, the thermal device is competitive with the kinetic energy harvesting device when the subject is running and achieves the highest power density when the subject is walking.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Current wireless power transfer and energy harvesting approaches lack the power transfer rates needed for increasing volumes of communicated data and rates along with stimulation power of implantable technologies.
“Current approaches include wireless power transfer (Agarwal etal. 2017) and energy harvesting (Mitcheson 2010) but currently lack the power transfer rates needed for the increasing volumes of communicated data and rates along with stimulation power of implantable technologies.”
From Peripheral nerve bionic interface: a review of electrodes (2019) · cites this paper as Mitcheson 2010
Cites
Human-powered wearable computing
Starner, T. (1996) · IBM Systems Journal · doi:10.1147/sj.353.0618 · Cited by 876 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Development of Implantable Medical Devices: From an Engineering Perspective
Joung, Y.-H. (2013) · International Neurourology Journal · doi:10.5213/inj.2013.17.3.98 · Cited by 367 · see citing works
Peripheral nerve bionic interface: a review of electrodes
Russell, C., Roche, A. D., & Chakrabarty, S. (2019) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-019-00086-3 · Cited by 67 · see citing works
- Authors
- Mitcheson, P. D.
- Affiliations
- Imperial College London (GB)
- Corresponding author
- Mitcheson, P D
- Venue
- 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
- Publisher
- IEEE
- Published
- 2010-08
- Volume
- 2010
- Pages
- 3432-3436
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W1964376276
- Cited by
- 132
- References
- 1
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 8 · 2019: 10 · 2018: 12 · 2017: 14 · 2016: 15 · 2015: 19 · 2014: 13 · 2013: 7 · 2012: 6
- FWCI
- 14.95
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Spiral (Imperial College London) (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/G070180/1)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- energy harvesting, wearable sensors, implantable sensors, wireless biosensors, wireless body area networks, kinetic energy harvesting, thermoelectric devices, power density, walking and running, battery life
- MeSH terms
- Bioelectric Energy Sources, Energy Transfer, Equipment Design, Humans, Electric Power Supplies, Biosensing Techniques, Computer-Aided Design, Monitoring, Ambulatory, Equipment Failure Analysis, Prostheses and Implants
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review