Abstract
The angular velocity of lower limb segments during walking is useful for calculating temporal-spatial parameters and joint kinematics in the inertial measurement unit (IMU)-based gait analysis. While many IMU-based methods for gait analysis have been proposed, configurations of data acquisition and signal conditioning parameter have not been standardized across studies. This study examined the effect of sampling rate and filter design on the characteristic angular velocity waveform obtained from IMUs donned on the lower limbs. Specifically, the frequency analysis of this waveform was performed, and the difference in timing and magnitude of the signal at gait events was evaluated relative to the initial signal. A minimum sampling rate of 35 Hz and a lowpass filter (LPF) cutoff of greater than 10 Hz were found to be appropriate parameters for acquisition and conditioning of the lower limb angular velocity signals. The required low minimum sampling rate suggests that gyroscope data are appropriate for use in bandwidth and battery life limited mobile health applications. Our results also showed that while the commonly employed LPF cutoffs of 5 Hz or less may be appropriate for mid-stance detection, they were not optimal for calculation of heel-strike, toe-off, mid-swing, or angular displacement, obtained with heel-strike and toe-off as delimiters.
| Original language | English (US) |
|---|---|
| Article number | 8642884 |
| Pages (from-to) | 4115-4122 |
| Number of pages | 8 |
| Journal | IEEE Sensors Journal |
| Volume | 19 |
| Issue number | 11 |
| DOIs | |
| State | Published - Jun 1 2019 |
Fingerprint
Keywords
- angular velocity
- digital filter
- gyroscope
- Inertial measurement unit
- mobile health
- sampling rate
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering
Cite this
Characterizing the Impact of Sampling Rate and Filter Design on the Morphology of Lower Limb Angular Velocities. / Allseits, Eric K.; Agrawal, Vibhor R; Prasad, Abhishek; Bennett, Christopher; Kim, Kyoung Jae.
In: IEEE Sensors Journal, Vol. 19, No. 11, 8642884, 01.06.2019, p. 4115-4122.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Characterizing the Impact of Sampling Rate and Filter Design on the Morphology of Lower Limb Angular Velocities
AU - Allseits, Eric K.
AU - Agrawal, Vibhor R
AU - Prasad, Abhishek
AU - Bennett, Christopher
AU - Kim, Kyoung Jae
PY - 2019/6/1
Y1 - 2019/6/1
N2 - The angular velocity of lower limb segments during walking is useful for calculating temporal-spatial parameters and joint kinematics in the inertial measurement unit (IMU)-based gait analysis. While many IMU-based methods for gait analysis have been proposed, configurations of data acquisition and signal conditioning parameter have not been standardized across studies. This study examined the effect of sampling rate and filter design on the characteristic angular velocity waveform obtained from IMUs donned on the lower limbs. Specifically, the frequency analysis of this waveform was performed, and the difference in timing and magnitude of the signal at gait events was evaluated relative to the initial signal. A minimum sampling rate of 35 Hz and a lowpass filter (LPF) cutoff of greater than 10 Hz were found to be appropriate parameters for acquisition and conditioning of the lower limb angular velocity signals. The required low minimum sampling rate suggests that gyroscope data are appropriate for use in bandwidth and battery life limited mobile health applications. Our results also showed that while the commonly employed LPF cutoffs of 5 Hz or less may be appropriate for mid-stance detection, they were not optimal for calculation of heel-strike, toe-off, mid-swing, or angular displacement, obtained with heel-strike and toe-off as delimiters.
AB - The angular velocity of lower limb segments during walking is useful for calculating temporal-spatial parameters and joint kinematics in the inertial measurement unit (IMU)-based gait analysis. While many IMU-based methods for gait analysis have been proposed, configurations of data acquisition and signal conditioning parameter have not been standardized across studies. This study examined the effect of sampling rate and filter design on the characteristic angular velocity waveform obtained from IMUs donned on the lower limbs. Specifically, the frequency analysis of this waveform was performed, and the difference in timing and magnitude of the signal at gait events was evaluated relative to the initial signal. A minimum sampling rate of 35 Hz and a lowpass filter (LPF) cutoff of greater than 10 Hz were found to be appropriate parameters for acquisition and conditioning of the lower limb angular velocity signals. The required low minimum sampling rate suggests that gyroscope data are appropriate for use in bandwidth and battery life limited mobile health applications. Our results also showed that while the commonly employed LPF cutoffs of 5 Hz or less may be appropriate for mid-stance detection, they were not optimal for calculation of heel-strike, toe-off, mid-swing, or angular displacement, obtained with heel-strike and toe-off as delimiters.
KW - angular velocity
KW - digital filter
KW - gyroscope
KW - Inertial measurement unit
KW - mobile health
KW - sampling rate
UR - http://www.scopus.com/inward/record.url?scp=85065414411&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065414411&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2019.2899724
DO - 10.1109/JSEN.2019.2899724
M3 - Article
AN - SCOPUS:85065414411
VL - 19
SP - 4115
EP - 4122
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
SN - 1530-437X
IS - 11
M1 - 8642884
ER -