Journal of Sensors

Sensors and Data Processing Techniques for Future Medicine


Lead Editor

1Tokyo Metropolitan University, Tokyo, Japan

2Kansai University, Osaka, Japan

3University of Electro-Communications, Tokyo, Japan

4Nanyang Technological University, Singapore

Sensors and Data Processing Techniques for Future Medicine


Recently, varieties of innovative and high precision sensors have been developed and became available for versatile application. Such sensors, when combined with data processing techniques of artificial intelligence, can make a huge impact on healthcare technologies. That is, a system can screen symptoms such as infection, cardiovascular failure, and major depressive disorders, just as experienced physicians diagnose with stethoscope and percussion.

These sensors substitute not only portion of an experienced physician, but also they win advantage over physicians in some aspects. A microwave radiated from a small and low-cost microwave-Doppler sensor can penetrate clothes and comforters and monitor not only thoracic respiratory motions and heart rates of patient, but also his/her activation of autonomic nerves system located in hypothalamus of brain stem using heart rate variability indices calculated from time series of heart rates. An approach has been already conducted to distinguish major depressive disorder patients from normal people under mental work load using high precision photoplethysmographic sensor, a microwave-Doppler sensor, and conventional electrocardiogram sensor. Emerging sensors and data processing techniques appear promising for not only physical disease diagnosis but also psychiatric disorders screening in future medicine.

The objective of this special issue is to publish high-quality papers and promote researches in sensors and data processing techniques. The editor welcomes papers of original work under no consideration at any other journals or peer-reviewed conferences.

Potential topics include but are not limited to the following:

  • Psychiatric disorder screening using sensors
  • Sensors for daily stress monitoring
  • Sensor based data processing and diagnosis technique for future medicine and psychiatry
  • Sensors designed for future medicine and psychiatry
  • Application of conventional sensors for future medicine
  • Sensor based elderly monitoring in future super aging society
  • Sensor application to robots used for elderly care at nursing-care facilities and home
  • Application of microwave sensor for future medicine
  • Sensor based infection screening
  • Emerging applications of infrared sensors in medical fields
  • Monitoring sensors for companion animals


  • Special Issue
  • - Volume 2018
  • - Article ID 1210609
  • - Editorial

Sensors and Data Processing Techniques for Future Medicine

Takemi Matsui | Satoshi Suzuki | ... | Eddie Ng Yin Kwee
  • Special Issue
  • - Volume 2018
  • - Article ID 4371872
  • - Research Article

Vital-SCOPE: Design and Evaluation of a Smart Vital Sign Monitor for Simultaneous Measurement of Pulse Rate, Respiratory Rate, and Body Temperature for Patient Monitoring

Guanghao Sun | Takemi Matsui | ... | Yukiya Hakozaki
  • Special Issue
  • - Volume 2018
  • - Article ID 8210502
  • - Research Article

The Development of a Dual-Radar System with Automatic Hypopnea Threshold Optimization for Contact-Free Sleep Apnea-Hypopnea Syndrome Screening

Shinji Gotoh | Takemi Matsui | ... | Osamu Kurita
  • Special Issue
  • - Volume 2017
  • - Article ID 3738046
  • - Research Article

Thermal Sensor Circuit Using Thermography for Temperature-Controlled Laser Hyperthermia

Shinsuke Nomura | Masashi Arake | ... | Hideki Ueno
  • Special Issue
  • - Volume 2017
  • - Article ID 6486891
  • - Research Article

Detection of Stress Hormone in the Milk for Animal Welfare Using QCM Method

Takeshi Ito | Nobuyoshi Aoki | ... | Koji Suzuki
  • Special Issue
  • - Volume 2017
  • - Article ID 8745437
  • - Research Article

An Innovative Serious Game for the Detection and Rehabilitation of Oral-Facial Malfunction in Children: A Pilot Study

Nuria Máximo-Bocanegra | María-Luisa Martín-Ruiz
Journal of Sensors
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Acceptance rate33%
Submission to final decision51 days
Acceptance to publication20 days
Journal Citation Indicator0.440
Impact Factor1.9

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