TY - CHAP
T1 - Physiological radar sensor chip development
AU - Li, Changzhi
AU - Gu, Changzhan
N1 - Funding Information:
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: JBL is an employee of RTI International, an independent, nonprofit research institute that provides research services for governmental and commercial clients, including pharmaceutical companies. LM is an employee of and owns stock in NoviSci, Inc. AMB is supported by a grant from the National Center for Advancing Translational Sciences (NCATS), NIH under award number KL2 TR002346. The other authors report no conflicts.
Funding Information:
The work was supported by the United States National Institutes of Health [grant number 1R21AI38385 ]. Data programming for this study was conducted by the Center for Administrative Data Research, which is supported in part by the Washington University Institute of Clinical and Translational Sciences grant UL1 TR002345 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) and by grant number R24 HS19455 through the Agency for Healthcare Research and Quality (AHRQ). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Publisher Copyright:
© Cambridge University Press 2018.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Theory and Recent Advancements Using radar to detect small physiologic signals such as respiration and heartbeat dates back to the 1970s [1]. It was realized by detecting the change in carrier phase or the round-trip time of flight (RTOF) in the received radar signals that is caused by the physiologic motion of the human body. The fundamental principle is similar to that in the radar guns that detect the speed of vehicles. Based on the format of transmit signal, there are two basic types of radars: continuous-wave (CW) radar and pulse radar. CW radar falls into two subcategories: single tone, which is mostly operated in interferometry mode, and frequency-modulated CW (FMCW), which sends out a chirp signal with the carrier frequency dynamically changing in time domain. Each category of radar has its specific advantages. Single-tone CW radar has a simple system architecture that allows high-level chip integration. It can also easily achieve high accuracy (submillimeter) in relative displacement measurement. FMCW radar is able to detect the absolute distance between the radar source and the subject, which is referred to as range information. Researchers also have successfully integrated FMCW radar on a chip. Recently, a hybrid radar system combining the advantages of single-tone and FMCW radar was reported by Wang et al. [2]. Pulse radar, which is usually accompanied by ultra-wideband (UWB) characteristics, has very high special resolution due to its large-wideband nature [3]. The integration of UWB radar is also reported for noncontact physiologic sensing. A generalized setup of radar noncontact physiologic sensing is shown in Figure 6.1. To detect physiologic signals, the system usually consists of a waveform generator, a radiofrequency (RF) front end, baseband signal conditioning blocks, an analog-to-digital convertor (ADC), and a signal-processing unit. The radar-generated signal is transmitted toward the human subject, where it is modulated by the physiologic motion and partially reflected. The radar receiver captures the received signal, down-converts it into baseband, and sends the digitized signal to the signal-processing unit to extract physiologic motion information, from which important vital signs such as heartbeat, respiration, or even blood pressure can be derived.
AB - Theory and Recent Advancements Using radar to detect small physiologic signals such as respiration and heartbeat dates back to the 1970s [1]. It was realized by detecting the change in carrier phase or the round-trip time of flight (RTOF) in the received radar signals that is caused by the physiologic motion of the human body. The fundamental principle is similar to that in the radar guns that detect the speed of vehicles. Based on the format of transmit signal, there are two basic types of radars: continuous-wave (CW) radar and pulse radar. CW radar falls into two subcategories: single tone, which is mostly operated in interferometry mode, and frequency-modulated CW (FMCW), which sends out a chirp signal with the carrier frequency dynamically changing in time domain. Each category of radar has its specific advantages. Single-tone CW radar has a simple system architecture that allows high-level chip integration. It can also easily achieve high accuracy (submillimeter) in relative displacement measurement. FMCW radar is able to detect the absolute distance between the radar source and the subject, which is referred to as range information. Researchers also have successfully integrated FMCW radar on a chip. Recently, a hybrid radar system combining the advantages of single-tone and FMCW radar was reported by Wang et al. [2]. Pulse radar, which is usually accompanied by ultra-wideband (UWB) characteristics, has very high special resolution due to its large-wideband nature [3]. The integration of UWB radar is also reported for noncontact physiologic sensing. A generalized setup of radar noncontact physiologic sensing is shown in Figure 6.1. To detect physiologic signals, the system usually consists of a waveform generator, a radiofrequency (RF) front end, baseband signal conditioning blocks, an analog-to-digital convertor (ADC), and a signal-processing unit. The radar-generated signal is transmitted toward the human subject, where it is modulated by the physiologic motion and partially reflected. The radar receiver captures the received signal, down-converts it into baseband, and sends the digitized signal to the signal-processing unit to extract physiologic motion information, from which important vital signs such as heartbeat, respiration, or even blood pressure can be derived.
UR - http://www.scopus.com/inward/record.url?scp=85047701810&partnerID=8YFLogxK
U2 - 10.1017/9781107297302.006
DO - 10.1017/9781107297302.006
M3 - Chapter
AN - SCOPUS:85047701810
SN - 9781107056602
SP - 172
EP - 201
BT - Medical and Biological Microwave Sensors and Systems
PB - Cambridge University Press
ER -