Continuous Indoor Positioning Fusing WiFi, Smartphone Sensors and Landmarks.

To exploit the complementary strengths of WiFi positioning, pedestrian dead reckoning (PDR), and landmarks, we propose a novel fusion approach based on an extended Kalman filter (EKF). For WiFi positioning, unlike previous fusion approaches setting measurement noise parameters empirically, we deploy a kernel density estimation-based model to adaptively measure the related measurement noise statistics. Furthermore, a trusted area of WiFi positioning defined by fusion results of previous step and WiFi signal outlier detection are exploited to reduce computational cost and improve WiFi positioning accuracy.

Carrying Position Independent User Heading Estimation for Indoor Pedestrian Navigation with Smartphones.

This paper proposes a novel heading estimation approach for indoor pedestrian navigation using the built-in inertial sensors on a smartphone. Unlike previous approaches constraining the carrying position of a smartphone on the user's body, our approach gives the user a larger freedom by implementing automatic recognition of the device carrying position and subsequent selection of an optimal strategy for heading estimation. We firstly predetermine the motion state by a decision tree using an accelerometer and a barometer.

[Transcutaneous Electrical Stimulation Undergoing Emergency Treatment of Zusanli (ST 36) Is Beneficial to Rescued Organophosphorus Pesticide Poisoning Patients].

Objective: To observe the effect of transcutaneous acupoint electrical stimulation (TAES) of Zusanli (ST 36) on gastrointestinal activities in organophosphorus pesticide poisoning (OPP) patients undergoing emergency treatment so as to explore its action in scavenging gastrointestinal toxicant.

Methods: A total of 116 OPP patients were randomly divided into control group and TAES group (n=58 in each group) according to the simple random sampling method. All the patients received comprehensive treatment including gastric lavage, catharsis, oral administration of atropine Pralidoxime Chloride, Omeprazole, etc.

Heading Estimation for Indoor Pedestrian Navigation Using a Smartphone in the Pocket.

Heading estimation is a central problem for indoor pedestrian navigation using the pervasively available smartphone. For smartphones placed in a pocket, one of the most popular device positions, the essential challenges in heading estimation are the changing device coordinate system and the severe indoor magnetic perturbations. To address these challenges, we propose a novel heading estimation approach based on a rotation matrix and principal component analysis (PCA).