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Wearable with integrated piezoelectric energy harvester for geolocation of people with Alzheimer's

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 1 (2024)

DOI
10.11591/ijece.v14i1.pp497-508
ISSN
2722-2578, 2088-8708
Published
2024-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Alzheimer's is a progressive disease that affects memory, causing disorientation in the patient, which causes them to lose themselves, generating anguish in families who have to resort to expensive searches. The objective of this research was to implement a device that can remotely provide the location of the Alzheimer's patient over a long period to relatives for greater security. For this, in this research, a mobile application was developed that receives information from a wearable that applies the internet of things using ong-range wide area technology to show the patient's real-time location and uses piezoelectrics for greater battery autonomy. The real-time location of the person and the radius of the safe zone in the application were obtained as results, the received signal strength indicator value where the signal was excellent or good had a value of -30 to -89 dB between 0 to 400 meters and the battery discharge time was 11 hours and 44 minutes. It was concluded that the application is interactive, that the piezoelectric system increased the autonomy of the wearable, and that the long-range wide area (LoRa) technology allowed monitoring of the patient's location with great precision at 400 meters.

Collaboration network of the authors

16 authors · 50 co-authorship links · 9 across different organisations

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  • Universidad Nacional del Callao
  • Universidad de Ciencias y Humanidades
  • Universidad César Vallejo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ricardo Sergio Adolfo Vidal SánchezUniversidad Nacional del Callao2
Roberto Solís-FarfánUniversidad Nacional del Callao2
Alex Vallejos-ZutaUniversidad Nacional del Callao2
Angélica Linett Velasquez JimenezUniversidad Nacional del Callao2
Juan Herber Grados GamarraAffiliation unknown1
Arcelia Olga Rojas SalazarUniversidad Nacional del Callao1
Eduardo Nelson Chávez GallegosUniversidad Nacional del Callao1
Linett Angélica Velasquez JimenezUniversidad de Ciencias y Humanidades1
Robert Julio Contreras RiveraUniversidad César Vallejo1
Mario Alberto Garcia PerezUniversidad Nacional del Callao1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 1 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Wearable with integrated piezoelectric energy harvester for geolocation of people with Alzheimer's</dc:title><dc:creator>Linder Rubiños Jimenez, Santiago</dc:creator><dc:creator>Herber Grados Gamarra, Juan</dc:creator><dc:creator>Nelson Chávez Gallegos, Eduardo</dc:creator><dc:creator>Angélica Velasquez Jimenez, Linett</dc:creator><dc:creator>Junior Grados Espinoza, Herbert</dc:creator><dc:creator>Christian Pesantes Arriola, Genaro</dc:creator><dc:description>&lt;jats:p&gt;Alzheimer's is a progressive disease that affects memory, causing disorientation in the patient, which causes them to lose themselves, generating anguish in families who have to resort to expensive searches. The objective of this research was to implement a device that can remotely provide the location of the Alzheimer's patient over a long period to relatives for greater security. For this, in this research, a mobile application was developed that receives information from a wearable that applies the internet of things using ong-range wide area technology to show the patient's real-time location and uses piezoelectrics for greater battery autonomy. The real-time location of the person and the radius of the safe zone in the application were obtained as results, the received signal strength indicator value where the signal was excellent or good had a value of -30 to -89 dB between 0 to 400 meters and the battery discharge time was 11 hours and 44 minutes. It was concluded that the application is interactive, that the piezoelectric system increased the autonomy of the wearable, and that the long-range wide area (LoRa) technology allowed monitoring of the patient's location with great precision at 400 meters.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v14i1.pp497-508</dc:identifier><dc:identifier>10.11591/ijece.v14i1.pp497-508</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 1 (2024); 497</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/33450/17104</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>