Remote patient monitoring: a comprehensive study

被引:249
作者
Malasinghe, Lakmini P. [1 ]
Ramzan, Naeem [1 ]
Dahal, Keshav [1 ]
机构
[1] Univ West Scotland, Sch Engn & Comp, Paisley PA1 2BE, Renfrew, Scotland
关键词
Remote patient monitoring; Mobile health; e-Health; Sensors; Wireless sensor networks; OVERNIGHT GLUCOSE CONTROL; WIRELESS SENSOR NETWORK; FALL DETECTION; DIABETES MANAGEMENT; MOBILE DEVICES; SYSTEM; HOME; HEALTH; DESIGN; ACCELEROMETER;
D O I
10.1007/s12652-017-0598-x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Healthcare is a field that is rapidly developing in technology and services. A recent development in this area is remote monitoring of patients which has many advantages in a fast aging world population with increasing health complications. With relatively simple applications to monitor patients inside hospital rooms, the technology has developed to the extent that the patient can be allowed normal daily activities at home while still being monitored with the use of modern communication and sensor technologies. Sensors for monitoring essential vital signs such as electrocardiogram reading, heart rate, respiration rate, blood pressure, temperature, blood glucose levels and neural system activity are available today. Range of remote healthcare varies from monitoring chronically ill patients, elders, premature children to victims of accidents. These new technologies can monitor patients based on the illness or based on the situation. The technology varies from sensors attached to body to ambient sensors attached to the environment and new breakthroughs show contactless monitoring which requires only the patient to be present within a few meters from the sensor. Fall detection systems and applications to monitor chronical ill patients have already become familiar to many. This study provides a review of the recent advances in remote healthcare and monitoring in both with-contact and contactless methods. With the review, the authors discuss some issues available in most systems. The paper also includes some directions for future research.
引用
收藏
页码:57 / 76
页数:20
相关论文
共 126 条
[21]   A smartphone-centric platform for remote health monitoring of heart failure [J].
Bisio, Igor ;
Lavagetto, Fabio ;
Marchese, Mario ;
Sciarrone, Andrea .
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2015, 28 (11) :1753-1771
[22]   Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review [J].
Block, Valerie A. J. ;
Pitsch, Erica ;
Tahir, Peggy ;
Cree, Bruce A. C. ;
Allen, Diane D. ;
Gelfand, Jeffrey M. .
PLOS ONE, 2016, 11 (04)
[23]  
Bogdan G, 2015, INT BLACK SEA CONF, P112, DOI 10.1109/BlackSeaCom.2015.7185097
[24]   Alzheimer Patient's Home Rehabilitation Through ICT Advanced Technologies: The ALTRUISM Project [J].
Casacci, Paolo ;
Pistoia, Massimo ;
Leone, Alessandro ;
Caroppo, Andrea ;
Siciliano, Pietro .
AMBIENT ASSISTED LIVING: ITALIAN FORUM 2014, 2015, :377-385
[25]  
Chandrasekar D, 2012, IEEE ENG MED BIO, P3243, DOI 10.1109/EMBC.2012.6346656
[26]   A Survey of Recent Developments in Home M2M Networks [J].
Chen, Min ;
Wan, Jiafu ;
Gonzalez, Sergio ;
Liao, Xiaofei ;
Leung, Victor C. M. .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (01) :98-114
[27]   Radar and RGB-Depth Sensors for Fall Detection: A Review [J].
Cippitelli, Enea ;
Fioranelli, Francesco ;
Gambi, Ennio ;
Spinsante, Susanna .
IEEE SENSORS JOURNAL, 2017, 17 (12) :3585-3604
[28]   A smart mirror to promote a healthy lifestyle [J].
Colantonio, Sara ;
Coppini, Giuseppe ;
Germanese, Danila ;
Giorgi, Daniela ;
Magrini, Massimo ;
Marraccini, Paolo ;
Martinelli, Massimo ;
Morales, Maria Aurora ;
Pascali, Maria Antonietta ;
Raccichini, Giovanni ;
Righi, Marco ;
Salvetti, Ovidio .
BIOSYSTEMS ENGINEERING, 2015, 138 :33-43
[29]  
Couderc JP, 2014, COMPUT CARDIOL CONF, V41, P661
[30]   Mobile Phone Sensing Mechanism for Stress Relaxation using Sensor Networks: A Survey [J].
Dhulipala, V. R. Sarma ;
Devadas, Prathima ;
Murthy, P. H. S. Tejo .
WIRELESS PERSONAL COMMUNICATIONS, 2016, 86 (02) :1013-1022