Patent · US Active

Method for predicting maximal oxygen uptake in wearable devices

US12100508B2 · kind B2 · utility

0Cited by

1References

10Claims

0Family size

Assignee

SAMSUNG ELETRÔNICA DA AMAZÔNIA LTDA. · BR

Inventors

Marcus de Assis Angeloni · Villaggio Panamby, BR
Antonio Joia Neto · Villaggio Panamby, BR
Ciro Cavani · Villaggio Panamby, BR
Dong Hyun Lee · Seoul, KR
In-Taek Oh · Seongnam-si, KR

Key dates

Filing date	Mar 10, 2021
Grant date	Sep 24, 2024
Priority date	—
Expiry date	Jul 27, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG16H20/30
WIPO fieldMedical technology
WIPO sectorInstruments

Abstract

A method for predicting maximal oxygen uptake (VO2Max) in wearable devices with memory restriction using an ensemble of machine learning algorithms is described. The method is related to the fields of well-being, healthcare and artificial intelligence, and includes a technique that predicts maximal oxygen uptake (VO2Max) in running sessions at different paces using wearable devices with memory restriction. The proposed method requires less than 5 KB of memory to run on a wearable device. Specifically, based on user's profile data (age, gender, height and weight), a set of heart rate (HR) and speed readings of a running session, the method is able to estimate VO2Max.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.