This paper discusses non-contact detection technologies in medical service. With the progress of science and technology, non-contact detection technologies for life parameters, based on microwave technology, infrared technology, laser technology and so on, will be more and more important in the development of digital medical equipment.

Objective To investigate the effects of different surgical procedures on clinical outcomes and quality of life(QOL)in patients with breast cancer.Methods The clinical data of 93 patients with breast cancer were retrospectively reviewed.According to the different surgical methods,they were divided into two groups:breast conserving surgery(BCS)group(n =42)and modified radical mastectomy(MRM)group(n =51).Clinical outcomes and QOL score between the two groups were compared.Results Compared with MRM group,the incidence rate of complication in BCS group was significantly lower in subcutaneous exudate[7.1%(3 /42)vs.25.5%(13 /51),χ2 =5.443,P =0.020]and upper limb swelling[14.3%(6 /42)vs.37.3%(19 /51),χ2 =5.443,P =0.020].In the aspect of QOL score,BCS group showed significantly higher score in emotional well -being [(23.14 ±2.71)points vs.(19.98 ±2.69)points,t =5.606,P =0.000],functional well -being[(24.61 ±2.72)points vs.(23.18 ± 2.99)points,t =2.372,P =0.020]and total score of QOL[(116.42 ±12.439)points vs.(111.18 ±10.75)points, t =2.147,P =0.034].BCS group showed significantly lower score in self -rating anxiety scale test[(47.89 ±8.32) points vs.(52.46 ±7.38)points,t =2.767,P =0.007].Conclusion Compared with MRM,BCS can effectively decrease the incidence rate of complications and increase the QOL in breast cancer patients.

Bioradar is based on the integration of theory of radar and bio-medical engineering,which can detect the life-parameters in farther distance.It is new concept radar presented by foreign experts.The technology can be widely used in detection of lifeform signal and non-contact clinical monitoring.Biomedical signal processing method is the premise that the technology can be realized.The signals can be interfered by the environmental factors,breath motion and so on,especially the influences of breath motion which can not be solved by average methods.A large number of signal processing methods are used in various aspects of the technology.This review introduces the progress of bioradar technology and the application of the current signal processing methods in the field.

This paper introduces the means and characteristics of signal acquisition of the non-contact life parameters detection system as well as the design of preprocessor circuit.The results show that the preprocessor is designed reasonably,which can provide the computer with high quality signals.

The definition, principle, characteristics of micropower Ultra-Wide-Band (UWB) radar are described and discussed in this paper. The human subject is experimented using the UWB radar developed by our team. The experimental results show that UWB radar is able to detect the life signals of the human subject such as respiration and heartbeat without any sensor and electrode touching the subject.The radar can be applied to non-invasive detection of life signals.

Strong clutters are produced by the echo waves from the debris when the life detector based on radar locates the living human subject under the debris, which makes the life detector work abnormally because the amplifier is saturate. A canceling technology for the strong clutters is provided to solve the problems discussed above in this paper. The canceling technology for the strong clutters can provide methods and theories in practice by constructing and simulating the mathematic model in the computer, analyzing and discussing the results.

To separate the biological radar echo signals in different breathing modes. Echo signals of bioradar-based vital signs monitoring system were acquired in different breathing modes, and an improved signal separa-tion algorithm was used to obtain respiratory and heartbeat signals as well as their parameters. Under two breath-ing modes, the center frequencies of the signals from the self-adaptive filter were kept consistent with those of heartbeat signals, and the signals with other frequencies were suppressed effectively. The algorithm can be used to sep-arate heartbeat signals while suppress other interference signals effectively. ZHANG Jing and LIU Qian are the first au-thors who contributed equally to the article.

Objective To evaluate the effect of an Internet support program on uncertainty in illness in breast cancer patients after operation. Method One hundred and nineteen breast cancer patients after surgery who were discharged from Shanghai Cancer Hospital were assigned into the control group (63 cases) and the intervention group (56 cases). A 12-week Internet support program was offered to the patients in the intervention group, while the patients in the control group received the routine follow-up. Measurement of uncertainty in illness was taken at the sixth week and the twelfth week after the baseline survey. Results The total score of the uncertainty in illness as well as the factor scores of ambiguity and lack of information showed downward trend in both the intervention group and the control group, and the three indexes in the intervention group declined more rapidly than those in the control group. The scores of the three indexes in the intervention group were significantly lower than those in the control group at the twelfth week. Conclusion The Internet support program which offers abundant information, multi-disciplinary cooperation and real-time interaction intervention is an effective approach in reducing uncertainty in illness for breast cancer survivors.

Physiological monitoring devices in modern clinical area are basically used electrodes or sensors directly touching the surface of human subject body, which will increase physiological and psychological load of the subjects. In order to realize non-contact monitoring of respiration and heartbeat, firstly, the micro bioradar was used to detect human body motion signal. Then, the respiration signal and heartbeat signal was extracted from the body-motion signal by using signal and conditioning circuits, digital filter and signal processing. Finally, the results of heart rate and breathing rate was wirelessly transmitted. The experimental results showed that the device for non-contact monitoring of respiration and heartbeat waveforms has advantages of small volume, low power consumption, which can realize the monitoring of physiological parameters in real time.
Heart Rate ; Humans ; Monitoring, Physiologic ; instrumentation ; Respiration ; Signal Processing, Computer-Assisted

The measurement methods of respiration can be mainly divided into contact and non-contact.Contact detection methods include volumetric flowmeter,velocity flowmeter,temperature detection,displacement detection,impedance detection,wearable technology and sleep mattress,etc.Although these methods are noninvasive and mature,they all require electrodes or sensors to touch the body of human subjects,which limit the users’ freedom and are not suitable for severely bumed patients and newborns.In non-contact monitoring,the respiration is measured by using the media such as electromagnetic waves,optical media,etc,and without any electrodes or sensors to touch the body whiles the human subject keeping natural status.Non-contact detection method using infrared and biological radar has been a research focus both at home and abroad,which can be used for clinical,community and family care.