US 12,097,024 B2
Process, portable device and system for analyzing vector data
Alfred Mertins, Lübeck (DE); and Marco Maass, Lübeck (DE)
Assigned to DRÄGERWERK AG & CO. KGAA, Lübeck (DE)
Appl. No. 17/426,997
Filed by Drägerwerk AG & Co. KGaA, Lübeck (DE)
PCT Filed Mar. 29, 2019, PCT No. PCT/EP2019/057974
§ 371(c)(1), (2) Date Jul. 29, 2021,
PCT Pub. No. WO2020/156686, PCT Pub. Date Aug. 6, 2020.
Claims priority of application No. 10 2019 000 608.9 (DE), filed on Jan. 30, 2019.
Prior Publication US 2022/0142506 A1, May 12, 2022
Int. Cl. A61B 5/113 (2006.01); A61B 5/0205 (2006.01)
CPC A61B 5/113 (2013.01) [A61B 5/0205 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A process for analyzing multidimensional vector data of a motion sensor for detecting a breathing motion, the process comprising the steps of:
receiving and storing the multidimensional vector data of the motion sensor in a time series;
calculating a plurality of medium-term vectors by an averaging of the received vector data over a respective predefined first time interval;
calculating a plurality of long-term average vectors by averaging the received vector data over a predefined second time interval, which is longer than the first time interval;
calculating and storing a plurality of mean-free vectors as a function of a difference between a respective medium-term vector from the plurality of medium-term vectors and a respective long-term average vector from the plurality of long-term average vectors, based on a time-dependent assignment between the plurality of medium-term vectors and the plurality of long-term average vectors;
determining a plurality of unit vectors, wherein each respective unit vector is oriented in a random direction, and assigning the respective unit vector to a respective mean-free vector;
calculating a plurality of scalar products from a mean-free vector from the plurality of mean-free vectors and the unit vector assigned to this mean-free vector;
calculating a motion identification, which is an indicator of the breathing motion, based on the plurality of scalar products; and
determining and outputting an analysis signal based on a comparison between the motion identification and a predefined motion threshold value, wherein the breathing motion is monitored in real time according to the analysis signal.