SYSTEM AND METHOD THAT OPTIMIZES PHYSICAL ACTIVITY RECOMMENDATIONS BASED ON RISKS OF FALLS

Techniques are described herein for incorporating fall prevention into a personalized activity plan. In various embodiments, a baseline risk of fall for a user may be estimated (302) based on baseline sensor signal(s) (203, 205, 207). Based on a prediction model (215) (which may/may not be associate...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	ANNEGARN, Janneke, DESSAUD, Nathalie Magali Danielle
Format:	Patent
Sprache:	eng
Schlagworte:	DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Techniques are described herein for incorporating fall prevention into a personalized activity plan. In various embodiments, a baseline risk of fall for a user may be estimated (302) based on baseline sensor signal(s) (203, 205, 207). Based on a prediction model (215) (which may/may not be associated with the user) and the baseline risk of fall, respective risks of falls associated with various candidate activities may be predicted (304), and then candidate activities may be determined or selected (306) based on the predicted respective risks of falls. Output indicative of the determined candidate activities may be provided (308) to the user, who may provide input (310) identifying one or more of the determined candidate activities as an exercise conducted or to be conducted by the user. Based on the exercise sensor signal(s), a subsequent risk of fall for the user may be estimated (312) and used to update (314) the prediction model.