Intersection cross-cut: watch ∩ sensor-ecg

Axes: form_factor × sensors

12 corpus entries disclose both tags.

Earliest disclosure: 1982

These entries are the direct inputs to OBVIOUSNESS_TEMPLATE.md. Any patent claim combining these two elements is anticipated or rendered obvious by the chain below.

Polar Sport Tester PE2000 — first wireless wrist heart-rate monitor (1982)

  • id: polar-sport-tester-pe2000-1982
  • corpus: private
  • form factor: watch
  • creator: Polar Electro Oy (Seppo Säynäjäkangas)
  • disclosure: Polar Electro Oy. ‘Sport Tester PE2000’ wrist heart-rate monitor, introduced 1982 — a chest electrode strap transmitting ECG-derived heart rate wirelessly to a wrist-worn receiver/display. Underlying invention: Seppo Säynäjäkangas, wireless heart-rate measurement, patents filed from c. 1977 (Polar Electro).
  • ip status: patented
  • sensors: sensor-ecg
  • algorithms: algo-hr
  • prior art notes: Discloses a body-worn heart-rate monitoring system: a chest strap with electrodes deriving heart rate from the ECG and transmitting it wirelessly to a wrist-worn receiver that displays it. Anticipates claims combining ‘a chest-worn electrode assembly sensing heart rate’ and ‘wireless transmission to a wrist-worn display’ (the chest-strap-plus-watch architecture), and the bare ‘wristworn heart-rate display’ concept, from 1982 (invention c. 1977). Anchor for the wristworn-HR cross-cut on the product side; [[bluetooth-sig-heart-rate-profile-2011]] later standardized the comms link.

Garmin Forerunner 201 (2003) — wristworn GPS running watch with pace/distance and heart-rate (strap) integration (2003)

  • id: garmin-forerunner-201-2003
  • corpus: private
  • form factor: watch
  • creator: Garmin Ltd.
  • disclosure: Garmin Ltd. ‘Forerunner 101/201’, introduced 2003 — a wrist-worn GPS receiver/watch logging pace, distance, route, and (with a paired chest strap) heart rate, with workout history and a web/PC sync. Later Garmin watches (Fenix/Forerunner with the ‘Elevate’ optical sensor, c. 2015) moved heart rate, and subsequently SpO2 (pulse ox) and respiration, onto the wrist.
  • ip status: patented
  • sensors: sensor-accelerometer, sensor-ecg, sensor-ppg
  • algorithms: algo-hr, algo-step-count, algo-calorie-estimation, algo-activity-classification
  • prior art notes: Discloses a wrist-worn GPS sport watch deriving pace, distance, and route, integrating heart rate from a paired electrode chest strap, and syncing workout history to a host — and, in later Garmin models, on-wrist optical-PPG heart rate, SpO2, and respiration. Anticipates GPS-sport-watch claims from 2003 and (for the later models) wrist-optical-vitals claims. Product-side anchor for the watch × GPS-fitness cross-cut.

Pantelopoulos & Bourbakis (2010) — survey on wearable sensor-based systems for health monitoring and prognosis (2010-01)

  • id: pantelopoulos-bourbakis-2010-wearable-health-survey
  • corpus: academic
  • form factor: other
  • creator: Alexandros Pantelopoulos / Nikolaos G. Bourbakis
  • disclosure: Pantelopoulos A, Bourbakis NG. ‘A survey on wearable sensor-based systems for health monitoring and prognosis.’ IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2010;40(1):1-12.
  • ip status: public-domain
  • sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-accelerometer, sensor-skin-temperature, sensor-respiration-impedance
  • algorithms: algo-hr, algo-arrhythmia-classification, algo-spo2-estimation, algo-fall-detection, algo-activity-classification
  • prior art notes: Surveys, as of 2010, the architecture and components of wearable health-monitoring systems — sensors (ECG, PPG, SpO2, accelerometry, temperature, respiration), garment- and patch- and watch-based form factors, on-body processing, wireless body-area networking, and the analytics (arrhythmia, fall, activity, deterioration prediction). Prior art establishing that the general ‘multi-sensor wearable + body-area network + cloud analytics’ system architecture and its building blocks were collected and published by 2010 — useful against later claims to the bare system architecture. General anchor.

Patel et al. (2012) — ‘A review of wearable sensors and systems with application in rehabilitation’ (2012-04-20)

  • id: patel-bonato-2012-wearable-sensors-rehab-review
  • corpus: academic
  • form factor: other
  • creator: Shyamal Patel / Hyung Park / Paolo Bonato et al.
  • disclosure: Patel S, Park H, Bonato P, Chan L, Rodgers M. ‘A review of wearable sensors and systems with application in rehabilitation.’ Journal of NeuroEngineering and Rehabilitation 2012;9:21.
  • ip status: public-domain
  • sensors: sensor-accelerometer, sensor-gyroscope, sensor-emg, sensor-ecg, sensor-ppg, sensor-pressure-skin
  • algorithms: algo-gait-analysis, algo-activity-classification, algo-fall-detection, algo-tremor-detection, algo-bradykinesia-detection, algo-posture-detection
  • prior art notes: Reviews, as of 2012, wearable inertial/EMG/pressure sensor systems for movement and physiological monitoring in rehabilitation and chronic-disease management — gait analysis, activity and posture classification, fall detection, tremor and bradykinesia quantification (Parkinson’s), with the sensor placements (foot/insole, shank, thigh, trunk, wrist, forearm) and algorithms. Prior art for wearable movement-disorder and gait-monitoring claims reciting any of the placements/analytics surveyed; collected and published by 2012. General anchor for the gait / tremor / activity cross-cuts.

AliveCor Heart Monitor / KardiaMobile (2012) — smartphone-coupled single-lead ECG (2012-12)

  • id: alivecor-kardiamobile-2012
  • corpus: private
  • form factor: other
  • creator: AliveCor, Inc. (David Albert)
  • disclosure: AliveCor, Inc. ‘AliveCor Heart Monitor’ (later ‘KardiaMobile’), FDA-cleared December 2012 — a card-sized two-electrode module that records a single-lead ECG via dry electrodes touched by the fingers (or pressed to the chest) and streams it to a smartphone app for AF detection. (The ‘Kardia Band’ wrist-strap ECG accessory for Apple Watch followed in 2017, FDA cleared.)
  • ip status: patented
  • sensors: sensor-ecg
  • algorithms: algo-afib-detection, algo-arrhythmia-classification, algo-hr
  • prior art notes: Discloses a portable two-dry-electrode single-lead ECG recorder that the user contacts with the fingers (or chest) and that streams the trace to a smartphone for automated atrial-fibrillation detection — and, in the 2017 Kardia Band variant, the same dry-electrode single-lead ECG integrated into a wrist strap. Anticipates consumer single-lead-ECG and wrist-strap-ECG AF-detection claims from 2012/2017 — predating the Apple Watch Series 4 ECG (2018). Product-side anchor for the consumer-ECG cross-cut.

Mukkamala et al. (2015) — ‘Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice’ (2015-08)

  • id: mukkamala-2015-ptt-cuffless-bp-review
  • corpus: academic
  • form factor: other
  • creator: Ramakrishna Mukkamala et al.
  • disclosure: Mukkamala R, Hahn J-O, Inan OT, Mestha LK, Kim C-S, Töreyin H, Kyal S. ‘Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.’ IEEE Transactions on Biomedical Engineering 2015;62(8):1879-1901.
  • ip status: public-domain
  • sensors: sensor-ecg, sensor-ppg, sensor-cuffless-bp-ptt, sensor-cuffless-bp-tonometry
  • algorithms: algo-pwv-bp-estimation
  • prior art notes: Canonical 2015 review of cuffless blood-pressure estimation by pulse transit time / pulse arrival time / pulse wave velocity: the physiological models, the practical sensor configurations (ECG+PPG, dual PPG, ballistocardiogram+PPG), the calibration strategies, and the accuracy limitations. Prior art for cuffless-BP wearable claims reciting any of the configurations or calibration approaches surveyed here — they were collected, modeled, and published by 2015. Combined with watch/ring/patch form-factor disclosures, makes wearable PTT-based BP an obvious combination under [[obviousness-template]].

Heikenfeld et al. (2018) — ‘Wearable sensors: modalities, challenges, and prospects’ (2018-01-16)

  • id: heikenfeld-2018-wearable-sensors-lab-on-chip-review
  • corpus: academic
  • form factor: other
  • creator: Jason Heikenfeld et al.
  • disclosure: Heikenfeld J, Jajack A, Rogers J, Gutruf P, Tian L, Pan T, Li R, Khine M, Kim J, Wang J, Kim J. ‘Wearable sensors: modalities, challenges, and prospects.’ Lab on a Chip 2018;18(2):217-248.
  • ip status: public-domain
  • sensors: sensor-ppg, sensor-ecg, sensor-eeg, sensor-glucose-cgm, sensor-lactate, sensor-cortisol, sensor-skin-temperature, sensor-bioimpedance
  • prior art notes: Authoritative 2018 review collecting wearable sensing across modalities — physical (motion, BCG/SCG, mechanoacoustic), electrophysiological (ECG/EMG/EEG), optical (PPG/SpO2, near-IR), thermal, electrochemical (sweat, saliva, tears, interstitial), and stimulation-coupled — across form factors (patch, watch, tattoo, contact lens, garment) and the challenges of body-fluid sampling, calibration, motion-artifact handling, and skin-electronics interfacing. Prior art establishing that the modality/form-factor combinations enumerated here were collected and surveyed by 2018; useful against later claims to those combinations. General anchor.

FDA De Novo DEN180044 (2018) — over-the-counter electrocardiograph software for use in detecting atrial fibrillation (Apple Watch ECG app) (2018-09-11)

  • id: fda-den180044-apple-watch-ecg-app-2018
  • corpus: regulatory
  • form factor: watch
  • creator: U.S. Food and Drug Administration (CDRH); requester Apple Inc.
  • disclosure: U.S. FDA, De Novo Classification Request DEN180044 (Apple Inc., ‘ECG App’), granted 11 September 2018 — decision summary at accessdata.fda.gov/cdrh_docs/reviews/DEN180044.pdf; established a new FDA device classification for over-the-counter electrocardiograph software intended to acquire, store, transfer and display a single-lead (Lead I) ECG and to provide a rhythm classification (AFib vs. sinus rhythm) on a consumer wrist-worn platform, with general/special controls.
  • ip status: regulatory-filing
  • sensors: sensor-ecg
  • algorithms: algo-afib-detection, algo-arrhythmia-classification
  • prior art notes: A public, dated FDA decision describing — and creating the device class for — over-the-counter single-lead ECG software on a consumer wrist-worn device with on-device AFib-vs-sinus classification. As a government disclosure it establishes, as of 11 September 2018, the public availability of the device described: a wristworn Lead-I ECG with consumer-facing rhythm classification. Useful prior art for later claims to that combination; the De Novo decision summary also enumerates the clinical validation and the bench/algorithm characteristics, which are themselves citable. Pairs with the product entry [[apple-watch-series4-ecg-2018]] and the standard [[ieee-11073-10406-basic-ecg-2011]].

Apple Watch Series 4 (2018) — wrist single-lead ECG and PPG-based irregular-rhythm notification (2018-09-12)

  • id: apple-watch-series4-ecg-2018
  • corpus: private
  • form factor: watch
  • creator: Apple Inc.
  • disclosure: Apple Inc. ‘Apple Watch Series 4’, announced 12 September 2018 (ECG app and irregular rhythm notification feature enabled later in 2018) — a wristworn device taking a single-lead (Lead I) ECG between a back-crystal electrode and a Digital Crown electrode touched by the opposite hand, with on-device AF/sinus classification, plus a PPG-based irregular-rhythm (possible-AF) notification algorithm. FDA cleared via De Novo (ECG app: DEN180044; irregular rhythm notification: DEN180042).
  • ip status: patented
  • sensors: sensor-ecg, sensor-ppg
  • algorithms: algo-afib-detection, algo-arrhythmia-classification, algo-hr
  • prior art notes: Discloses a wristworn device that records a single-lead ECG between a watch-back electrode and a crown electrode touched by the contralateral hand, classifies the rhythm (AF vs. sinus) on-device, and separately runs a PPG-based background algorithm flagging possible atrial fibrillation. Anticipates wristworn-ECG and watch-AF-detection claims postdating September 2018; the underlying single-lead ECG and PPG-rhythm-screening techniques are much older ([[einthoven-1903-string-galvanometer-ecg]], [[holter-1961-ambulatory-ecg]], [[allen-2007-ppg-review]], [[ieee-11073-10406-basic-ecg-2011]]). Product-side anchor for the watch × ECG and watch × PPG × AF-detection cross-cuts.

Withings ScanWatch (2020) — hybrid analog watch with PPG, SpO2 pulse oximetry, single-lead ECG, and accelerometer (2020-01-05)

  • id: withings-scanwatch-2020
  • corpus: private
  • form factor: watch
  • creator: Withings SA
  • disclosure: Withings (Nokia/Withings). ‘ScanWatch’, announced January 2020 (CE-marked 2020; FDA cleared 2022) — a hybrid analog wristwatch integrating a reflectance-PPG sensor (heart rate, irregular-rhythm screening), an SpO2 (pulse-oximetry) measurement, a single-lead ECG (back electrode plus a bezel electrode touched by the opposite hand, with AF detection), a 3-axis accelerometer, and an altimeter — with sleep and activity tracking.
  • ip status: patented
  • sensors: sensor-ppg, sensor-spo2, sensor-ecg, sensor-accelerometer, sensor-barometer
  • algorithms: algo-hr, algo-spo2-estimation, algo-afib-detection, algo-arrhythmia-classification, algo-sleep-staging, algo-step-count, algo-respiratory-rate
  • prior art notes: Discloses a wristwatch combining reflectance-PPG heart rate, pulse-oximetry SpO2, a single-lead ECG with AF detection, accelerometry, and an altimeter, with sleep-apnea screening (from the SpO2/respiration signals) — multiple regulated cardiorespiratory measurements in one consumer watch. Anticipates multi-modal medical-smartwatch claims reciting combinations of wrist PPG-HR + wrist SpO2 + single-lead ECG from 2020. Product-side anchor for the watch × {PPG, SpO2, ECG} multi-sensor cross-cut.

Samsung Galaxy Watch3 / Samsung Health Monitor (2020) — wrist single-lead ECG and optical-PPG cuffless blood pressure (2020-08)

  • id: samsung-galaxy-watch-bp-ecg-2020
  • corpus: private
  • form factor: watch
  • creator: Samsung Electronics Co., Ltd.
  • disclosure: Samsung Electronics. ‘Samsung Health Monitor’ app on Galaxy Watch3 / Watch Active2, 2020 — wrist single-lead ECG (between a back-crystal electrode and a side-button electrode touched by the opposite hand, with AF/sinus classification) and a cuffless blood-pressure feature using the optical (PPG) pulse-wave signal calibrated against a periodic conventional cuff reading. (Cleared in Korea 2020; subsequently in other markets.)
  • ip status: patented
  • sensors: sensor-ecg, sensor-ppg, sensor-cuffless-bp-ptt
  • algorithms: algo-afib-detection, algo-arrhythmia-classification, algo-pwv-bp-estimation, algo-hr
  • prior art notes: Discloses a wristworn device that takes a single-lead ECG with on-device AF classification and, separately, estimates blood pressure from the wrist optical-PPG pulse waveform after calibration against a periodic conventional cuff measurement (a calibrated-cuffless approach). Anticipates wrist-cuffless-BP claims reciting ‘estimating blood pressure from a wrist photoplethysmography signal calibrated by a reference cuff reading’ from 2020 — the underlying PTT/PWV-BP technique is much older ([[geddes-1981-pulse-transit-time-bp]], [[mukkamala-2015-ptt-cuffless-bp-review]]). Product-side anchor for the watch × cuffless-BP cross-cut.

HealthyPi Move (ProtoCentral, 2026) — open-source medical-grade smartwatch (2024)

  • id: healthypi-move-2026
  • corpus: open
  • form factor: watch
  • creator: ProtoCentral Electronics
  • disclosure: ProtoCentral Electronics (Bengaluru, India). ‘HealthyPi Move’ fully open-source AMOLED smartwatch — Crowd Supply campaign launched 2024, units shipping 15 May 2026. Sensors: single-lead ECG, dual-site PPG (wrist + finger), SpO2, blood-pressure trending, EDA/GSR, heart rate, HRV, respiration rate (derived), body temperature, 6-axis IMU. Compute: Nordic nRF5340 (dual ARM Cortex-M33). Display: AMOLED, 300 mAh battery. Companion app: Flutter, runs on Android/iOS/macOS/Windows/Linux, all data stored locally. Hardware design, firmware (Zephyr RTOS on nRF Connect SDK), and companion app all open-source. https://www.crowdsupply.com/protocentral/healthypi-move
  • ip status: open-permissive
  • sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-multi-wavelength-ppg, sensor-gsr, sensor-accelerometer, sensor-gyroscope, sensor-skin-temperature
  • algorithms: algo-hr, algo-hrv, algo-spo2-estimation, algo-respiratory-rate, algo-pwv-bp-estimation, algo-sleep-staging, algo-activity-classification, algo-step-count
  • prior art notes: Discloses, as fully open-source hardware and firmware (CC and MIT-style licensing across components), a wrist-worn smartwatch with the full consumer-medical sensor stack: single-lead ECG between back-of-watch electrode and a finger-touch electrode; multi-wavelength reflectance PPG with SpO2 and BP-trending; EDA/GSR; skin temperature; 6-axis IMU; on-device Zephyr-RTOS application; AMOLED display; all-local data storage via cross-platform Flutter app. Anticipates wrist-multi-sensor-watch claims from 2024-2026 to the extent they recite combinations of these elements; as open prior art it is unencumbered and any patent claim reciting these combinations must distinguish over HealthyPi Move’s specific implementation. The product-side anchor for the ‘open watch with the full sensor stack’ cross-cut.

Public domain (CC0 1.0). The corpus IS the prior art commons.

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