Evidence map›Paper›PMID 39204914›Full record

ArticleSensors (Basel, Switzerland)2024

Designing a Hybrid Energy-Efficient Harvesting System for Head- or Wrist-Worn Healthcare Wearable Devices.

Zahra Tohidinejad, Saeed Danyali, Majid Valizadeh, Ralf Seepold, Nima TaheriNejad, Mostafa Haghi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zahra TohidinejadDepartment of Electrical Engineering, Ilam University, Ilam 69315-516, Iran.
Saeed DanyaliDepartment of Electrical Engineering, Ilam University, Ilam 69315-516, Iran.ORCID 0000-0003-2873-6469
Majid ValizadehDepartment of Electrical Engineering, Ilam University, Ilam 69315-516, Iran.
Ralf SeepoldUbiquitous Computing Laboratory, HTWG Konstanz-University of Applied Sciences, 78462 Konstanz, Germany.ORCID 0000-0002-5192-2537
Nima TaheriNejadInstitute of Computer Engineering, Heidelberg University, 69120 Heidelberg, Germany.
Mostafa HaghiInstitute of Computer Engineering, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0001-8966-0176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Battery power is crucial for wearable devices as it ensures continuous operation, which is critical for real-time health monitoring and emergency alerts. One solution for long-lasting monitoring is energy harvesting systems. Ensuring a consistent energy supply from variable sources for reliable device performance is a major challenge. Additionally, integrating energy harvesting components without compromising the wearability, comfort, and esthetic design of healthcare devices presents a significant bottleneck. Here, we show that with a meticulous design using small and highly efficient photovoltaic (PV) panels, compact thermoelectric (TEG) modules, and two ultra-low-power BQ25504 DC-DC boost converters, the battery life can increase from 9.31 h to over 18 h. The parallel connection of boost converters at two points of the output allows both energy sources to individually achieve maximum power point tracking (MPPT) during battery charging. We found that under specific conditions such as facing the sun for more than two hours, the device became self-powered. Our results demonstrate the long-term and stable performance of the sensor node with an efficiency of 96%. Given the high-power density of solar cells outdoors, a combination of PV and TEG energy can harvest energy quickly and sufficiently from sunlight and body heat. The small form factor of the harvesting system and the environmental conditions of particular occupations such as the oil and gas industry make it suitable for health monitoring wearables worn on the head, face, or wrist region, targeting outdoor workers.

Indexed as

Electric Power SuppliesWearable Electronic DevicesWristEquipment DesignHeadHumansMonitoring, Physiologicenergy harvestinghealth monitoringhybridmedical wearable sensor nodespower management

Identifiers

PMID39204914
PMCPMC11359008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.