Altini et al., 2016 - Google Patents
Cardiorespiratory fitness estimation in free-living using wearable sensorsAltini et al., 2016
View PDF- Document ID
- 18196234315101008256
- Author
- Altini M
- Casale P
- Penders J
- Amft O
- Publication year
- Publication venue
- Artificial intelligence in medicine
External Links
Snippet
Objective In this paper we propose artificial intelligence methods to estimate cardiorespiratory fitness (CRF) in free-living using wearable sensor data. Methods Our methods rely on a computational framework able to contextualize heart rate (HR) in free …
- 230000002802 cardiorespiratory 0 title abstract description 14
Classifications
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1112—Global tracking of patients, e.g. by using GPS
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- A—HUMAN NECESSITIES
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