TY - JOUR
T1 - Self-Synchronized, Continuous Body Weight Monitoring Using Flexible Force Sensors and Ground Reaction Force Signal Processing
AU - Muzaffar, Shahzad
AU - Elfadel, Ibrahim M.
N1 - Funding Information:
Manuscript received February 24, 2020; revised April 26, 2020 and May 7, 2020; accepted May 7, 2020. Date of publication May 12, 2020; date of current version August 14, 2020. This work was supported in part by the Al Jalila Foundation, Dubai, United Arab Emirates, under Grant AJF2019092 and in part by the Semiconductor Research Corporation (SRC) through the Abu Dhabi SRC Center of Excellence on Energy-Efficient Electronic Systems (ACE4S), with customized funding from the Mubadala Development Company, Abu Dhabi, United Arab Emirates, under Contract 2013 HJ2440. The associate editor coordinating the review of this article and approving it for publication was Prof. Giancarlo Fortino. (Corresponding author: Ibrahim M. Elfadel.) Shahzad Muzaffar is with the Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates (e-mail: [email protected]).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/15
Y1 - 2020/9/15
N2 - Change patterns in body weight are significant indicators of a variety of medical conditions and in some instances, such as congestive heart failure, strong predictors of critical care interventions. The continuous monitoring of body weight can therefore help care givers and patients reduce the risks that are inherent in ignoring body weight changes or in measuring them infrequently. One possible approach to continuous body weight monitoring is to use shoe-integrated sensors. Such approach is however hampered by the lack of patient's adherence to medical protocols and by the detrimental impact of motion artifacts on weight measurements during body movement. The objective of this paper is to show that both problems can be readily addressed by pushing body weight measurement into the background of the patient's daily routine and by adapting piezoresistive flexible force sensors to the specific requirements of accurate body weight measurement during motion. The proposed solution is enabled by two major innovations. The first is a sensor array architecture that helps in collecting the total vertical GRF on each foot during the walk cycle. The second is based on extracting unique features from the waveforms of ground reaction forces (GRFs) as measured by the flexible force sensor array. This paper is dedicated to a full and detailed description of this second innovation that includes the extraction of GRF waveform features using real-time signal processing and the elimination of motion artifacts using accurate estimates of the vertical acceleration of the body's center of mass. A prototype demo system of the proposed solution is described along with testing results using a human subject in various walk conditions. The prototype is comprised of three subsystems: The shoe-integrated flexible sensor array, a sentinel subsystem implemented as a wearable smart watch, and a communication subsystem between sensors and sentinel. The prototype is distinguished with several unique features that ensures its wearability and low cost, including its self synchronizing data collection and the absence of any inertial motion units.
AB - Change patterns in body weight are significant indicators of a variety of medical conditions and in some instances, such as congestive heart failure, strong predictors of critical care interventions. The continuous monitoring of body weight can therefore help care givers and patients reduce the risks that are inherent in ignoring body weight changes or in measuring them infrequently. One possible approach to continuous body weight monitoring is to use shoe-integrated sensors. Such approach is however hampered by the lack of patient's adherence to medical protocols and by the detrimental impact of motion artifacts on weight measurements during body movement. The objective of this paper is to show that both problems can be readily addressed by pushing body weight measurement into the background of the patient's daily routine and by adapting piezoresistive flexible force sensors to the specific requirements of accurate body weight measurement during motion. The proposed solution is enabled by two major innovations. The first is a sensor array architecture that helps in collecting the total vertical GRF on each foot during the walk cycle. The second is based on extracting unique features from the waveforms of ground reaction forces (GRFs) as measured by the flexible force sensor array. This paper is dedicated to a full and detailed description of this second innovation that includes the extraction of GRF waveform features using real-time signal processing and the elimination of motion artifacts using accurate estimates of the vertical acceleration of the body's center of mass. A prototype demo system of the proposed solution is described along with testing results using a human subject in various walk conditions. The prototype is comprised of three subsystems: The shoe-integrated flexible sensor array, a sentinel subsystem implemented as a wearable smart watch, and a communication subsystem between sensors and sentinel. The prototype is distinguished with several unique features that ensures its wearability and low cost, including its self synchronizing data collection and the absence of any inertial motion units.
KW - biomechanics of human motion
KW - body weight measurement
KW - continuous weight monioring
KW - gait analysis
KW - Ground reaction forces
KW - motion artifacts
KW - shoe-integrated sensors
KW - wearable medical devices
UR - https://www.scopus.com/pages/publications/85090225922
U2 - 10.1109/JSEN.2020.2994129
DO - 10.1109/JSEN.2020.2994129
M3 - Article
AN - SCOPUS:85090225922
SN - 1530-437X
VL - 20
SP - 10886
EP - 10897
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 18
M1 - 9091546
ER -