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Monitoring activities of daily living of a person

A technology of daily life and activities, applied in the field of monitoring people's daily life activities

Inactive Publication Date: 2018-07-31
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

While methods exist to allow scaling up and down of the time spent in an activity, there is no solution available to allow permutations in the schema

Method used

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  • Monitoring activities of daily living of a person
  • Monitoring activities of daily living of a person
  • Monitoring activities of daily living of a person

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0094] An ADL monitoring system uses a collection of sensors, each sensor adapted to respond to activity and generate a sensor output signal indicative of the level or type of activity detected. An activity density map was formed. The level or type of activity is compared to the range of levels or types of activity represented in the graph representing a reference spread of the level of activity over the same time period as the activity density plot. Probabilistic analysis is then used to identify initial outliers. For these initial outliers, an activity permutation test is performed to find time slots in the activity density map that can be reordered to remove the initial outliers. In this way, anomalies at the level of individual slots can be identified, and the permutation method makes the system robust to variations in the order in which activities are performed by subjects.

[0095] figure 1 An overview of the entire algorithmic process employing the method of the pres...

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Abstract

An ADL monitoring system uses a set of sensors each adapted to respond to an activity and to generate a sensor output signal representative of the detected activity level or type. An activity densitymap is formed. The activity level or type is compared with a range of activity levels or types represented in a map which characterized a reference spread of activity levels over the same time periodas the activity density map. A probability analysis is then used to identify initial anomaly points. For these the initial anomaly points, a test of activity permutations is carried out to find timeslots in the activity density map which may be reordered to remove the initial anomaly points. In this way, anomalies at the level of individual timeslots can be identified, and the permutation approachmakes the system robust to changes in the order in which activities are carried out by a subject.

Description

technical field [0001] The present invention relates to monitoring a person's Activities of Daily Living (ADL), and more particularly to detecting behaviors that can be used to trigger warnings or interventions. Background technique [0002] Functional assessment or monitoring of a person's health status, physical capacity, mental capacity, or recovery after injury, hospitalization, and disposition is a major concern of most branches of medicine, including geriatrics, rehabilitation and physical therapy, neurology, and orthopedics, nursing and aged care. [0003] Research has found that an individual's functional capacity is actually context-specific, as functioning increases due to reduced confusion when the subject is in a familiar environment. Furthermore, a functional assessment does not allow for the assessment of variability in functional performance over a period of one day or several days, nor does it allow for the assessment of changes that are important in determi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/11G08B21/04
CPCA61B5/1113A61B5/1118A61B5/4088A61B5/746A61B2505/07G08B21/0423A61B5/0075A61B5/0077A61B5/02055A61B5/021A61B5/024A61B5/0531A61B5/0836A61B5/14532A61B5/6801A61B5/6892A61B5/7203A61B8/08A61B2562/0204A61B2562/0219A61B2562/0247A61B2562/029
Inventor W·R·T·坦卡特冯菁涵
Owner KONINKLJIJKE PHILIPS NV
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