Reading from the Black Box: What Sensors Tell Us about Resting and Recovery after Real-World Falls

被引:7
作者
Schwickert, Lars [1 ]
Klenk, Jochen [1 ,2 ]
Zijlstra, Wiebren [3 ]
Forst-Gill, Maxim [1 ]
Sczuka, Kim [1 ]
Helbostad, Jorunn L. [4 ]
Chiari, Lorenzo [5 ]
Aminian, Kamiar [6 ]
Todd, Chris [7 ,8 ]
Becker, Clemens [1 ]
机构
[1] Robert Bosch Krankenhaus, Dept Clin Gerontol, Auerbachstr 110, DE-70376 Stuttgart, Germany
[2] Ulm Univ, Inst Epidemiol & Med Biometry, Ulm, Germany
[3] German Sport Univ Cologne, Inst Movement & Sport Gerontol, Cologne, Germany
[4] Norwegian Univ Sci & Technol, Dept Neuromed & Movement Sci, Trondheim, Norway
[5] Univ Bologna, Dept Elect Elect & Informat Engn, Bologna, Italy
[6] Ecole Polytech Fed Lausanne, Lab Movement Anal & Measurement, Lausanne, Switzerland
[7] Univ Manchester, Sch Hlth Sci, Manchester, Lancs, England
[8] Univ Manchester, Manchester Acad Hlth Sci Ctr, Manchester, Lancs, England
关键词
Falls; Recovery; Fall detection; Inertial sensors; Signal analysis; CIRCUMSTANCES; CARE;
D O I
10.1159/000478092
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: Lying on the floor for a long time after falls, regardless of whether an injury results, remains an unsolved health care problem. In order to develop efficient and acceptable fall detection and reaction approaches, it is relevant to improve the understanding of the circumstances and the characteristics of post-impact responses and the return or failure to return to pre-fall activities. Falls are seldom observed by others; until now, the knowledge about movement kinematics during falls and following impact have been anecdotal. Objective: This study aimed to analyse characteristics of the on-ground and recovery phases after real-world falls. The aim was to compare self-recovered falls (defined as returns to standing from the floor) and non-recovered falls with long lies. Methods and Participants: Data from subjects in different settings and of different populations with high fall risk were included. Real-world falls collected by inertial sensors worn on the lower back were taken from the FARSEEING database if reliable information was available from fall reports and sensor signals. Trunk pitch angle and acceleration were analysed to describe different patterns of recovery movements while standing up from the floor after the impact of a fall. Results: Falls with successful recovery, where an upright posture was regained, were different from non-recovered falls in terms of resting duration (median 10.5 vs. 34.5 s, p = 0.045). A resting duration longer than 24.5 s (area under the curve = 0.796) after the fall impact was a predictor for the inability to recover to standing. Successful recovery to standing showed lower cumulative angular pitch movement than attempted recovery in fallers that did not return to a standing position (median = 76 degrees, interquartile range 24-170 degrees vs. median = 308 degrees, interquartile range 30-1,209 degrees, p = 0.06). Conclusion: Fall signals with and without successful returns to standing showed different patterns during the phase on the ground. Characteristics of real-world falls provided through inertial sensors are relevant to improve the classification and the sensing of falls. The findings are also important for redesigning emergency response processes after falls in order to better support individuals in case of an unrecovered fall. This is crucial for preventing long lies and other fall-related incidents that require an automated fall alarm. (c) 2017 S. Karger AG, Basel
引用
收藏
页码:90 / 95
页数:6
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