Abstract
Objective: Human feet have long been considered in close association with whole-body health, from which abundant cardiovascular and skeletomuscular information can be extracted. In this study, we aim to develop the world's first foot-based wearable system that can detect both pedal pulses and muscular activities, referred to as FeetBeat. Methods: Utilizing the flexible iontronic sensing technology, we have constructed and characterized a five-unit sensing array for detection of both pedal pulse signals and muscular activities. It is integrated into the tongue of an athletic shoe for real-time signal acquisition. Additionally, the linear array allows alignment-free capture of pulse signals and also provides a spatial reference to muscular activities. Results: An ultrahigh sensitivity of up to 1 nF/mmHg has been achieved for individual units, with a range of 1 to 200 mmHg. The pedal pulse waveforms have been detected to derive vital health signs, such as heart rates (HR) and respiratory rates, of which the pulse-derived HR is compared with the electrocardiogram. Moreover, individual tendon responses have been acquired to analyze different pedal gestures, from which multi-channel signals can be used to distinguish different activities. Conclusion: The FeetBeat device has shown the potential to be the world's first wearable platform to simultaneously analyze both vital signals and body activities from the measurable pedal pulse waveforms and muscular responses in a natural and unobtrusive fashion. The data-collecting wearable system provides a highly valuable means to assess the personalized health as well as daily activities on a continuous basis.
| Original language | English (US) |
|---|---|
| Article number | 8643948 |
| Pages (from-to) | 3072-3079 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Biomedical Engineering |
| Volume | 66 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2019 |
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Keywords
- Foot motion
- gesture recognition
- pedal pulse waveform
- wearable devices
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
FeetBeat : A Flexible Iontronic Sensing Wearable Detects Pedal Pulses and Muscular Activities. / Zhang, Zhichao; Zhu, Zijie; Bazor, Ben; Lee, Sue Bin; Ding, Zhi; Pan, Tingrui.
In: IEEE Transactions on Biomedical Engineering, Vol. 66, No. 11, 8643948, 11.2019, p. 3072-3079.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - FeetBeat
T2 - A Flexible Iontronic Sensing Wearable Detects Pedal Pulses and Muscular Activities
AU - Zhang, Zhichao
AU - Zhu, Zijie
AU - Bazor, Ben
AU - Lee, Sue Bin
AU - Ding, Zhi
AU - Pan, Tingrui
PY - 2019/11
Y1 - 2019/11
N2 - Objective: Human feet have long been considered in close association with whole-body health, from which abundant cardiovascular and skeletomuscular information can be extracted. In this study, we aim to develop the world's first foot-based wearable system that can detect both pedal pulses and muscular activities, referred to as FeetBeat. Methods: Utilizing the flexible iontronic sensing technology, we have constructed and characterized a five-unit sensing array for detection of both pedal pulse signals and muscular activities. It is integrated into the tongue of an athletic shoe for real-time signal acquisition. Additionally, the linear array allows alignment-free capture of pulse signals and also provides a spatial reference to muscular activities. Results: An ultrahigh sensitivity of up to 1 nF/mmHg has been achieved for individual units, with a range of 1 to 200 mmHg. The pedal pulse waveforms have been detected to derive vital health signs, such as heart rates (HR) and respiratory rates, of which the pulse-derived HR is compared with the electrocardiogram. Moreover, individual tendon responses have been acquired to analyze different pedal gestures, from which multi-channel signals can be used to distinguish different activities. Conclusion: The FeetBeat device has shown the potential to be the world's first wearable platform to simultaneously analyze both vital signals and body activities from the measurable pedal pulse waveforms and muscular responses in a natural and unobtrusive fashion. The data-collecting wearable system provides a highly valuable means to assess the personalized health as well as daily activities on a continuous basis.
AB - Objective: Human feet have long been considered in close association with whole-body health, from which abundant cardiovascular and skeletomuscular information can be extracted. In this study, we aim to develop the world's first foot-based wearable system that can detect both pedal pulses and muscular activities, referred to as FeetBeat. Methods: Utilizing the flexible iontronic sensing technology, we have constructed and characterized a five-unit sensing array for detection of both pedal pulse signals and muscular activities. It is integrated into the tongue of an athletic shoe for real-time signal acquisition. Additionally, the linear array allows alignment-free capture of pulse signals and also provides a spatial reference to muscular activities. Results: An ultrahigh sensitivity of up to 1 nF/mmHg has been achieved for individual units, with a range of 1 to 200 mmHg. The pedal pulse waveforms have been detected to derive vital health signs, such as heart rates (HR) and respiratory rates, of which the pulse-derived HR is compared with the electrocardiogram. Moreover, individual tendon responses have been acquired to analyze different pedal gestures, from which multi-channel signals can be used to distinguish different activities. Conclusion: The FeetBeat device has shown the potential to be the world's first wearable platform to simultaneously analyze both vital signals and body activities from the measurable pedal pulse waveforms and muscular responses in a natural and unobtrusive fashion. The data-collecting wearable system provides a highly valuable means to assess the personalized health as well as daily activities on a continuous basis.
KW - Foot motion
KW - gesture recognition
KW - pedal pulse waveform
KW - wearable devices
UR - http://www.scopus.com/inward/record.url?scp=85073656287&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073656287&partnerID=8YFLogxK
U2 - 10.1109/TBME.2019.2900224
DO - 10.1109/TBME.2019.2900224
M3 - Article
C2 - 30794500
AN - SCOPUS:85073656287
VL - 66
SP - 3072
EP - 3079
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 11
M1 - 8643948
ER -